Next Article in Journal
Stepping towards the Green Transition: Challenges and Opportunities of Estonian Companies
Previous Article in Journal
Smart Transportation Behavior through the COVID-19 Pandemic: A Ride-Hailing System in Iran
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Bibliometric Analysis of Neighborhood Sense of Community

1
School of Arts and Humanities, University of Huddersfield, Huddersfield HD1 3DH, UK
2
School of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China
*
Authors to whom correspondence should be addressed.
Sustainability 2023, 15(5), 4183; https://doi.org/10.3390/su15054183
Submission received: 1 February 2023 / Revised: 20 February 2023 / Accepted: 22 February 2023 / Published: 25 February 2023

Abstract

:
The literature on neighborhood sense of community (NSOC) has undergone a period of rapid growth in recent years. The purpose of this paper is to explore the current state of knowledge on NSOC by mapping the knowledge domain and identifying the development trends of this field. A total of 1214 articles that were obtained from the Web of Science core collection between the years 1986 and 2022 served as the data sample, and Citespace was used as the tool for bibliometric analysis and visualization for this study. The results indicated: (1) NSOC research continued to attract the attention of scholars in recent years; (2) NSOC research covered a wide range of subject categories, including urban studies, public health, environmental studies, social work, and urban planning; (3) the Journal of Community Psychology appears to be among the most influential journals, with the greatest infiltration in NSOC research; (4) the collaboration networks of authors and institutions need to be strengthened, and the USA is the country that had the most publications and the strongest influence; (5) the knowledge framework was mainly based around 10 clusters, including place attachment; social life; urban form; community organization; exploring adolescents’ sense; psychological sense; cultural capital; Perth, Western Australia; mental well-being; and neighborhood planning. The scope of existing NSOC research covers a wide range of subject areas, including the concepts of NSOC, the measurement scales of NSOC, the impact of the neighborhood built environment on NSOC, the meditating role of NSOC between the built environment and residents’ mental health and subjective well-being, and the relationship between NSOC and other social factors. NSOC research in rural areas, NSOC research of immigration populations, NSOC research in the context of smart communities and cites, and the relationship between NSOC and health will be the focuses in future studies.

1. Introduction

The definition of the psychological sense of community is commonly understood to explain how people consider their belonging to the related community. This usually involves four fundamental elements consisting of membership, influence, integration, and fulfillment of needs and shared emotional connection [1]. The sense of community is a focused topic in the field of social and community psychology, and it has been discussed in a variety of contexts, including the workplace [2,3], virtual space [4], the neighborhood [5,6,7], and so on. Neighborhood sense of community was not initially frequently discussed, as scholars argued that community has been gradually becoming a place-less concept in the process of urbanization and industrialization. In addition, the traditional neighborhood community has lost the significance it once had in the strengthening of social connections [8]. The absence of social bonds and social control may result in neighborhood disorder, such as crime, noise, drugs, and a poor social and economic environment [9]. Because a sense of community is thought to be positively related to social cohesion, social capital, and collective efficacy in neighborhoods [10,11], the rising notion in the 1980s that cohesive neighborhoods might contribute to social and economic development encouraged scholars to recognize the significance of neighborhood sense of community (NSOC) [12].
Glynn [5] was the first person to introduce the concept of “psychological sense of community” into neighborhood studies, in 1986. Cohrun [13] then redefined the four elements of sense of community in the neighborhood context:
(1) Membership: the entitlement and feeling of being a part of a neighborhood.
(2) Influence: residents need to be responsible for and benefit from community development.
(3) Integration and fulfillment of needs: the happiness and life satisfaction of residents obtained from neighborhoods.
(4) Shared emotional connection: social interaction between neighborhood residents.
The development of measurement scales for NSOC provided tools for research. Although numerous NSOC scales have been developed, the Sense of Community Index (SCI) and the Brief Sense of Community Scale (BSCS) are the two scales that are most frequently used [14,15]. Douglas [16] reviewed all the existing NSOC scales in previous studies and developed a new NSOC scale with 11 items, which is an improvement on the previous scales.
One important topic of NSOC research is the relationship between the built environment and NSOC. As Sarason [17] indicates, the neighborhood, as well as the surrounding social environments, are the most productive factors in creating people’s sense of community. Cohrun [13] goes further to point out that planners can help build residents’ sense of community through the implementation of physical planning initiatives. New urbanists make enhancing the sense of community one of the main goals of neighborhood planning. Further, they claim that the manner in which streets divide and link a neighborhood may result in different movement and interaction activities of the residents, which in turn affects their sense of community [7,18]. Many studies have supported this claim and found that pedestrian environments and sense of community are positively related [19,20]. In the same way, some researchers have validated the correlation between certain neighborhood physical characteristics and NSOC as being positive, such as public space [21,22,23], neighborhood accessibility [24], density [18], green infrastructure [25], housing type [26], sanitation [27], and shopping convenience [21,27].
The impact of NSOC on residents’ other types of mental health and subjective well-being is another important topic [26,28,29]. For example, Walton [29] indicates that the influence dimension of NSOC can prevent residents from feeling isolated and disregarded; whilst Zhang, Loo, and Wang [28] point out that NSOC has a strong influence on life satisfaction. Within this topic, minors and the elderly are the two most investigated population groups because these two groups are more likely to experience loneliness, depression, and other mental issues; an improvement of their NSOC is helpful in dealing with these problems [30,31,32].
As discussed above, a strong NSOC can facilitate positive impacts on the interactions between residents and their neighborhoods, and thus also foster sustainable development of neighborhoods [33]. However, although numerous NSOC studies have been conducted in recent years, there is currently no study that maps the knowledge structure whilst also pointing out the research trends in this field. To fill this gap, a comprehensive literature review on neighborhood sense of community is needed. Compared to the traditional systematic literature review, opportunities for investigation using data analytics and text mining functionalities supplied by software tools is a new method that has gained popularity recently, as it can save energy and time when facing a large amount of literature [34].
This study focuses on analyzing the existing literature on neighborhood sense of community by using Citespace, which is one of the most popular software tools for scientific knowledge mapping and bibliometric analysis. Scientific knowledge mapping presents each aspect of the knowledge domain in the form of images to visualize the evolution of scientific knowledge as well as the structural connections that are associated with this process. Bibliometric analysis is helpful for researchers to identify the research directions and frontier knowledge of the academic subject, and to investigate the knowledge that should be enhanced [35]. Thus, using Citespace enables the researchers to obtain a comprehensive understanding of the knowledge structure and the trends of neighborhood sense of community research, as well as identifying the intellectual base [34].
The research materials and methods are described in the section that follows. Section 3 contains descriptions and discussions of the results associated with various bibliometrics analyses, including co-citation, co-occurrence, and clustering analyses. Section 4 draws conclusions on the results and points out the further development trends of NSOC research.

2. Materials and Methods

2.1. Data Collection

The literature data source for this study was taken from the Web of Science Core Col-lection database, which was launched in 1997 [36,37]. The data were collected in January 2023, and the search rules were as follows.
TS = “Neighborhood sense of community”
Publication Date = 1 January 1986 to 31 December 2022
Indexes = SCI-E, SSCI, AHCI, CPCI-S, CPCI-SSH, BKCI-S, BKCI-SSH, ESCI
The search strategy above retrieved hits for 1899 records. After limiting the publishing language to English and the document type to article, proceeding paper, review article, and early access, 1759 records were left. After manually checking the titles and abstracts of all the publications, a total of 538 publications that were irrelevant to NSOC, such as those on ethnic and immigration-related senses of community without neighborhood significances, were removed. Additionally, 7 duplicated publications were removed by using the “Remove Duplicates” function in Citespace 6.1.R6. As a result, a total of 1214 publications were selected for further analysis.

2.2. Citespace and the Settings

Citespace is popular software that was developed based on the Java framework to analyze bibliometric networks in a visualized way [38]. Researchers usually use it to write literature reviews from a quantitative point of view because it has the ability to process enormous volumes of literature information quickly and objectively [35]. The results of the analysis are typically presented in the form of a visual image, consisting of nodes and lines. The size of nodes shows the citation frequency of articles, authors, institutions, or countries, the lines show the connections between different nodes, and the strength of the connections is represented by the thickness of the lines. The citation frequency is a useful indicator, since it reveals how much attention a publication has received from researchers and how widely it has been read. Additionally, three metrics are usually used to evaluate the knowledge map. The term “centrality” refers to the ratio of the shortest path between two nodes going through a given node to the shortest path between two nodes in the network; it is used to measure “how likely it is that an arbitrary shortest path in the network will go through the node”. If the value of centrality is over 0.1, it means that the given node is important in the network. The term “Modularity Q” reflects the modularity degree, which ranges from 0 to 1, and when the value of the Modularity Q is over 0.3, the network is thought to be significant. The silhouette is the key measure of the homogeneity of networks; when the value of the silhouette is over 0.5, the result clustering is thought to be reasonable [39].

3. Results

3.1. Overview of NSOC Research

3.1.1. Annual Publications

The number of articles published annually on a specific study topic can represent the level of conceptual growth and the focus of attention in that field, and is therefore a significant indicator of its progress and evolution. Figure 1 illustrates the number of publications for each year from 1986 to 2022; a total of 1214 publications were retrieved. From 1986 to 2015, although the number of publications was small, the research on NSOC has experienced a fluctuating pattern of growth. From 2015 to 2020, the number of publications increased significantly, indicating growing interest in the relationship between the built environment and people’s mental well-being, with a peak of 128 outputs in 2020. The number of publications slightly decreased to 92 in 2022; this is probably because the COVID-19 pandemic led to a shift in research priorities towards studying the impacts of the pandemic on communities, health, and society in general. This could have resulted in fewer publications on neighborhood sense of community, as researchers may have focused their efforts elsewhere. Overall, NSOC research has been increasing, and scholars have paid more attention to NSOC in recent years.

3.1.2. Subject Categories

Because NSOC is an interdisciplinary concept, studies on NSOC can be divided into many different subject categories. This study employed a co-occurrence analysis to determine which subjects were present at each stage of the research field’s evolution. We also summarized the NSOC-related subject categories, and arranged them from most to least occurrence frequency. Figure 2 presents the high-frequency co-occurrence subject categories related to the NSOC study. Table 1 presents the top 10 most frequently co-occurring subject categories with their centrality. As seen in Figure 2 and Table 1, “Urban studies” was the largest node in the categories network, indicating that this subject category had the highest academic concentration of studies, with 266 citations. “Public, environmental & occupational health” (235) and “Environmental studies” (291) ranked second and third, respectively. This highlighted the feature that scholars’ interests in NSOC research are mostly concerned with health, environmental, and urban issues. Additionally, “Urban studies” was also the subject category with the highest centrality. Thus, this category was considered to play an important role in bridging other subject categories. The centrality of “Public, environmental & occupational health” and “Environmental studies” followed that of “Urban studies”, and these two categories were also important in the network.
The term “bursting subject categories” refers to subject categories that have undergone high-frequency changes within a certain period of time, and this can help researchers know about what subject categories are currently under study. Figure 3 presents four bursting subject categories: “Social work” and “Psychology, multidisciplinary” are the earliest subjects in NSOC research. The former appeared first in 1994 and most recently in 2002, whereas the latter appeared from 1996 to 2011; “Public, environmental & occupational health” has shown the shortest duration with only one year; “Green & sustainable science & technology” was the most significant subject category recently.

3.1.3. Cited Journals

Influential journals in the NSOC field between 1986 and 2022 are presented in this section. Table 2 shows the 10 most popular journals for NSOC research based on the number of publications. These 10 journals represent 287 publications, making up 23.6% of all the NSOC-related publications from 1986 to 2022. The top three journals with the most publications were the Journal of Community Psychology, Cities, and Environment and Behavior. According to Table 2, the journal with the highest citation count (435) was the American Journal of Community Psychology, followed by the Journal of Community Psychology and the Journal of Environmental Psychology, with 424 and 413 citations, respectively. The impact factor is another important indicator of a journal’s overall quality, as it quantifies the journal’s scholarly significance in its own study field. The Journal of Environmental Psychology, Environment and Behavior, and Cities had the highest impact factors, at 7.649, 6.548, and 6.077, respectively. As a result, although the Journal of Community Psychology did not have the highest impact factors, NSOC scholars were more likely to publish their articles in it. This is probably due to the fact that the articles published in the Journal of Community Psychology were more specifically linked to the sense of community or NSOC, whereas the Journal of Environmental Psychology (if = 7.649) included a wider range of studies.

3.2. Research Collaboration

3.2.1. Key Authors

The author collaboration network map in Figure 4 identifies influential authors in the research field, as well as the cooperative relationships between authors. Table 3 shows the top 10 authors who had the most publications. Among the 10 authors, Lisa Wood, Billie Giles-Corti, and Douglas D. Perkins ranked in the top three, having published more articles than others. However, as no author in this network has a centrality value greater than 0.1, there was no core author in this network. Lisa Wood, Billie Giles-Corti, and David Lardier, who had more publications and citations than others, might have a greater influence than others in the NSOC field.

3.2.2. Institution

It is possible to have a better understanding of the degree of academic support and recognition of the research area by conducting an analysis of the institutional collaboration network (Figure 5). As can be seen in Table 4, the top three institutions with the most publications were the University of Michigan, the University of Western Australia, and The Chinese University of Hong Kong. The top three institutions with the highest citation frequency were the University of Michigan, the University of Illinois Urbana-Champaign, The Chinese University of Hong Kong, and The University of Hong Kong. However, none of the institutions had a centrality greater than 0.1, meaning there were no clearly identifiable core institutions in NSOC research.

3.2.3. Country

The analysis of the collaboration network across countries in NSOC research indicates the focus and value of these countries in the research area (Table 5). The number of publications, the citation frequency, and the centrality are important indicators that can reflect the academic influence and research strength of each country. As seen in Table 5, scholars in the USA published the most articles (n = 409), scholars in China published 96 articles, ranking second, and scholars in Canada published 92 articles, ranking third. In general, research on NSOC has received greater attention from North American scholars than from their international counterparts. Publications from the USA, the UK, and Canada had the highest citation frequencies, showing that they had significant academic influence in this field. Additionally, the USA, Canada, the UK, Australia, the Netherlands, and Spain all had centralities above 0.1, indicating that these countries have made greater contributions to international collaboration than other countries.

3.3. Intellectual Base

3.3.1. Reference Clustering Analysis

The reference co-citation network reveals the representative literature. The modularity Q of the synthesized network was 0.9089, which means the cluster result was significant. Additionally, the mean silhouette value was 0.9347, which means the cluster groups had high homogeneity and the result clustering was reasonable. As seen in Figure 6, a total of 21 clusters was constructed, and they were labeled by titles. Table 6 shows the 10 key clusters and their details.
Cluster #0 was the largest cluster, which contained members with a silhouette value of 0.959. It was labeled “place attachment”, and the major citing article was “Place attachment: how far have we come in the last 40 years?” [40]. Further significant topics were concepts of place attachment [41], the measurement of place attachment [42], and the role of place attachment in shaping residents’ social interaction behaviors [43]. Cluster #1 was the second largest cluster, containing 63 members with a silhouette value of 0.904. It was labeled “social life”, and the major citing article was “Built form and community building in residential neighbourhoods: a case study of physical distance in Subiaco, Western Australia” [44]. This cluster mainly focused on relationships between NSOC and the built environment in urban areas, such as public spaces [21] and walkable environments [20]. Cluster #2 was the third largest cluster, with 62 members and a silhouette value of 0.966. It was labeled “urban form”, and the major citing article was “Do gentrifying neighbourhoods have less community? evidence from Philadelphia” [45]. This cluster mainly focused on the influence of urban form on NSOC. Cluster #3, “community organization”, was the fourth largest cluster, with 60 members and a silhouette value of 0.997. The major citing article was “A review of the sense of community index: Current uses, factor structure, reliability, and further development” [46]. This cluster was concerned with the relationship between NSOC and residents’ mental health and community participation, which can lead to social cohesion [47]. Cluster #4 was the fifth largest cluster, with 50 members and a silhouette value of 0.977. It was labeled “exploring adolescents’ sense”, and the major citing article was “Exploring adolescents’ sense of community and its relationship to loneliness” [48]. This cluster mainly focused on enhancing adolescents’ sense of community by the provision of sufficient social supports. Cluster #5 was the sixth largest cluster, with 48 members and a silhouette value of 0.973. It was labeled “psychological sense”, with the major citing article being “Psychological sense of community and its relevance to well-being and everyday life in Australia” [49]. This cluster mainly focused on the association between NSOC and the quality of life of residents and their life satisfaction [50]. Cluster #6 was the seventh largest cluster, which contained 48 members, with a silhouette value of 0.969. It was labeled “cultural capital”, and the major citing article was “Ways to make people active: the role of place attachment, cultural capital, and neighborhood ties” [43]. This cluster focused on relationship between NSOC and cultural (social) capital, and their roles in protecting public safety [51,52]. Cluster #7 was the eighth largest cluster, containing 47 members and with a silhouette value of 0.959. It was labeled “Perth Western Australia”, and the major citing article was “Quality or quantity? Exploring the relationship between public open space attributes and mental health in Perth, Western Australia” [53]. As the name suggests, NSOC studies in this cluster were conducted in the context of Western Australia, which reflects scholars’ interests in this region. Cluster #8 was the ninth largest cluster, which contained 47 members, with a silhouette value of 0.897. It was labeled “mental wellbeing”, and the major citing article was “Pathways between neighbourhood walkability and mental wellbeing: a case from Hankow, China” [54]. This cluster focused on the mediating role of NSOC between the built environment and mental well-being, and other social factors [55]. Cluster #9 was the tenth largest cluster, which contained 44 members with a silhouette value of 0.962. It was labeled “neighborhood planning”, and the major citing article was “Neighbourhood planning and the impact of place identity on housing development in England” [56]. This cluster focused on using neighborhood planning strategies to enhance residents’ NSOC [57].

3.3.2. Landmark Reference

Co-citation analysis of reference makes it relatively simple to locate seminal works from the significant literature in NSOC research. Table 7 presents the 10 most-cited references in the field of NSOC, which were not the most-cited papers from the Web of Science, but from the selected 1214 papers in this study.
Among the 10 most cited papers, 5 are related to the built environment, 2 are related to public safety, 2 are related to the concept and scale of development, and 1 refers to mental health. With a total of 18 citations, it is not surprising that Wood, Frank and Giles-Corti wrote the paper that received the most attention. This paper investigates the association between NSOC and walkable neighborhood design, and points out that the type or purpose of walking can influence NSOC. Francis, Giles-Corti, Wood and Knuiman [21] ranked second with a total of 15 citations. This paper explores four public open spaces and residents’ sense of community in Western Australia, and the results showed that the higher the quality of public space, the higher the level of NSOC. Wilson [59] ranked third with a total of 15 citations. This book reveals the decay of inner-city underclass neighborhoods in the USA between the 1970s and 1980s, and argues that NSOC can help to build a cohesive neighborhood. French, Wood, Foster, Giles-Corti, Frank and Learnihan [7] ranked fourth with a total of 14 citations. This paper argues that sense of community was corelated positively with residents’ perceptions of neighborhood quality, but negatively with residential density. Anton and Lawrence [60] ranked fifth, with a total of 11 citations. This paper indicates that the place attachment of rural residents was higher than that of urban residents, unless they lived in disaster-prone areas, such as rural and urban fringes. Sampson, Raudenbush and Earls [47] ranked sixth with a total of 11 citations. This paper highlights the importance of collective efficacy in creating a safe neighborhood. Whyte [61] ranked seventh with a total of 10 citations. This book identifies the significance of small urban spaces in creating liveable neighborhoods or communities. Pretty, Andrewes and Collett [48] ranked eighth with a total of 9 citations. This paper investigates adolescents’ sense of community in both neighborhood and school contexts, and suggests that the correlation between a lack of sense of community and feelings of isolation links to the importance of the circumstances in which teenagers are raised. Peterson and Paul [62] ranked ninth with a total of 9 citations. This paper develops and validates a Brief Sense of Community Scale (BSCS) based on the four elements of sense of community, which has been widely used in NSOC research. Scannell and Gifford [41] ranked tenth, with a total of 9 citations. This paper reviews multiple definitions of place attachment and places them into a “person–process–place” theoretical framework.

3.4. Popular Research Areas and Trends

3.4.1. Keyword Clustering Analysis

Keywords briefly indicate the research directions of papers in a certain field, and the keywords clustering graph produced by Citespace can represent the associations between the keywords of the selected papers (Figure 7). The result of the keywords clustering analysis presented 21 clusters in the constructed map. The cluster structure is significant, with modularity Q = 0.7266. All the clusters were confirmed to have silhouette values greater than 0.5, indicating that their structures were reasonable. Table 8 shows the top 10 keyword clusters with their details: Cluster #0 was labeled “physical activity”, and the included papers emphasized the relationship between sense of community and neighborhood planning, with the elderly being the population group that received most concern [63]; Cluster #1 was labeled “attachment”, and the included papers emphasized that residents’ social interaction and life satisfaction are positively related to NSOC [64]; Cluster #2 was labeled “index”, and the included papers emphasized concepts and measurement scales of NSOC [65]; Cluster #3 was labeled “mortality”, and the included papers emphasized the health of the elderly, including both physical and mental health [66]; Cluster #4 was labeled “sense of community”, and the included papers emphasized the relationship between NSOC and other types of sense of community, such as school sense of community [67] and ethnic sense of community [29]; Cluster #5 was labeled “place attachment”, and the included papers emphasized the concepts of place attachment in relation to sense of community [41], and the associations between NSOC and places [68]; Cluster #6 was labeled “citizen participation”, and the included papers emphasized how citizen participation contributes to collective efficacy, NSOC, and neighborhood organizations [64]; Cluster #7 was labeled “fear of crime”, and the included papers emphasized the impact of safe social environment on NSOC [69]; Cluster #8 was labeled “mental health”, and the included papers emphasized examination of NSOC in people with mental issues, and the mediating role of NSOC between the built environment and mental health [31]; Cluster #9 was labeled “social capital”, and the included papers emphasized the mutual catalytic relationship between NSOC and social capital [70].

3.4.2. Keyword Bursting Analysis

The keywords burst refers to the phenomenon in which the use of certain keywords in papers in a research domain has risen rapidly. Figure 8 provides a list of the most frequently cited keywords in different time periods, and illustrates the primary study topics in the NSOC fields and their evolutions. Figure 8 also displays the period when each keyword was first used and the length of time it has been used, which reflects the durability of keywords’ significance in the study field. Additionally, the blue lines show the time span of the entire research period, whereas the red lines show the length of time in which the citation burst was in effect. In order to conduct a more precise investigation into NSOC research topics and the way in which they evolved from 1986 to 2022, the entire study period was divided into two phases based on the number of annual publications: the fluctuation growth phase (1986–2015) and the rapid growth phase (2016–2022).
(1) The fluctuation growth phase (1986–2015)
Because NSOC is a topic within sense of community research, it did not get much attention when it first emerged, and thus has experienced a long fluctuating growth phase for almost 30 years. In this phase, there were a total of 18 keyword bursts. However, the first keyword burst appeared in 1994, indicating that few studies on NSOC were conducted before 1994. “Psychological sense”, “urban environment”, and “adolescent” were the three keyword bursts with the longest durations. It can be concluded that the scholars were interested in the concept of NSOC, the relationship between NSOC and urban environment, and impacts of NSOC on adolescents’ mental health. In correspondence with the change of keyword bursts, it can be concluded that theories of New Urbanism played an increasingly important role in influencing NSOC studies, as more and more scholars focused on the relationship between NSOC and walkable environments during this period.
(2) The rapid growth phase (2016–2022)
The rapid growth phase was a relatively short span of only seven years, and only seven keyword bursts; “inequality”, “residential satisfaction”, “sustainability”, “mobility”, “public health”, “green space”, and “well” appeared in this period. Among the seven keyword bursts, “mobility” had the longest duration, which focused on the NSOC issues in the context of population mobility, such as urban gentrification [45] and immigration [71].

4. Discussion and Conclusions

The term “neighborhood sense of community” refers to a broad notion that considers not only psychological, but also social and environmental factors, which contributes to sustainable neighborhoods through strengthening social bonds and creating social capital. Because numerous NSOC studies have been conducted in recent years, and cover a wide range of subject areas, it is important and necessary to acquire a thorough understanding of NSOC research. Thus, this study aims to enhance comprehension of the knowledge structure and development trends of NSOC research. Citespace was used for bibliometric analysis and knowledge domain visualization. The number of publications of NSOC research has grown rapidly since 2015. Despite it having declined from 2020 to 2022, the number of annual publications in these three years is greater than that before 2015, indicating that NSOC research continued to attract the attention of scholars in recent years. In addition, NSOC research covered a wide range of subject categories, including urban studies, public health, environmental studies, social work, and urban planning, showing that NSOC research is multidisciplinary. Regarding journals cited, the Journal of Community Psychology was the most influential one.
There have been instances of inadequate collaboration between authors and research institutions, as there were no core authors and no core institutions in NSOC research. The most influential authors were Lisa Wood and Billie Giles-Corti, who had the most publications with the highest citation frequency. They were both interested in the relationship between NSOC and the neighborhood built environment, such as public spaces and walkable environments [21,43]. The most influential institution was the University of Michigan; its scholars usually focused on the impact of NSOC on residents’ social lives, such as their subjective well-being and community empowerment. As for collaboration networks across countries, scholars in the USA published the largest number of publications, and the USA, Canada, the UK, Australia, Italy, the Netherlands, and Spain were the core countries in the collaboration network. It can be concluded that the Western countries contributed most to the collaboration network.
After conducting reference co-citation clustering analysis, the primary knowledge in the field of NSOC can be summed up with the following indexing terms: (1) Place attachment; (2) Social life; (3) Urban form; (4) Community organization; (5) Exploring adolescents’ sense; (6) Psychological sense; (7) Cultural capital; (8) Perth Western Australia; (9) Mental wellbeing; (10) Neighborhood planning. Among the cited references, Wood, Frank and Giles-Corti [58], Francis, Giles-Corti, Wood and Knuiman [21], and Wilson [59] played crucial roles and significantly contributed to knowledge development in the research field.
After conducting keyword co-citation clustering analysis, the primary research hotspots in the field of NSOC can be summed up with the following indexing terms: (1) Physical activity; (2) Attachment; (3) Index; (4) Mortality; (5) Sense of community; (6) Place attachment; (7) Citizen participation; (8) Fear of crime; (9) Mental health; and (10) Social capital. Additionally, the keyword bursts analysis presented the research trends in different stages: in the fluctuation growth stage, “psychological sense”, “urban environment ” and “adolescent” were the topics with the longest durations; in the rapid growth stage, “inequality”, “residential satisfaction”, “sustainability”, “mobility”, “public health”, “green space”, and “well” were popular topics.
The research results reveal that the scope of NSOC research covers a wide range of subject areas. The changes in keywords and their bursts reflect that NSOC research has gradually become diverse and multidisciplinary. In general, NSOC research can be divided into five aspects: (1) the concepts of NSOC; (2) the measurement scales of NSOC; (3) the impact of the neighborhood built environment on NSOC; (4) the mediating role of NSOC between the built environment and residents’ mental health and subjective well-being; (5) the relationship between NSOC and other social factors, such as social capital, social cohesion, and safety. Usually, the different research aspects were interlinked and successive. For example, the concepts of NSOC are the basis, and the scales are the tools, for other research aspects. Thus, despite these two aspects appearing earlier than other aspects in NSOC research, research on these two aspects is still ongoing.
Through examining the existing research, limitations have been found, such as the need for some measurement scales to be further verified when they are used in different contexts; and some research findings are not generalizable enough to cover wider population samples. Because existing NSOC research was usually conducted in an urban context, the study of NSOC in rural areas can be regarded as one of the future directions it is likely to take. Additionally, the number of immigration populations is increasing in many countries, such as the USA and the UK, which may cause some social and environmental issues. Thus, building NSOC in immigration populations is also an important research topic for the future.
In 2021, the United Nations Environment Programme (UNEP) claimed that “sustainable cities and communities start with sustainable neighborhoods” and issued Integrated Guidelines for Sustainable Neighborhood Design [72]. Because NSOC is an important factor in advancing the sustainable development of neighborhoods, the related research tends towards the role of NSOC in creating neighborhoods with more green spaces and less carbon emissions to meet the development goal of smart communities and cites. In this sense, future studies on NSOC can be conducted in the context of smart communities and cities. In addition, as the negative impact of COVID-19 on people’s mental and physical health is still continuing, future studies should consider the relationship between the impact of COVID-19 and NSOC, and the elderly should be given considerable attention, because old people are more vulnerable, and more countries will face problems related to ageing populations.

Author Contributions

Conceptualization, W.W. and Y.G.; methodology, W.W.; software, W.W.; validation, W.W., Y.G. and A.P.; formal analysis, W.W.; investigation, W.W.; resources, W.W.; data curation, W.W.; writing—original draft preparation, W.W.; writing—review and editing, Y.G. and A.P.; visualization, W.W.; supervision, Y.G. and A.P.; project administration, Y.G.; funding acquisition, W.W., Y.G. and L.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly funded by the Arts and Humanities Research Council, UK, grant number AH/R004129/1; and the Chongqing Municipal Education Commission Humanities and Social Sciences Research Project, China, grant number 22SKGH161.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author. The data are not publicly available because of privacy concerns.

Conflicts of Interest

All authors declare that they have no conflict of interest.

References

  1. McMillan, D.W.; Chavis, D.M. Sense of community: A definition and theory. J. Community Psychol. 1986, 14, 6–23. [Google Scholar] [CrossRef]
  2. Garrett, L.E.; Spreitzer, G.M.; Bacevice, P.A. Co-constructing a sense of community at work: The emergence of community in coworking spaces. Organ. Stud. 2017, 38, 821–842. [Google Scholar] [CrossRef] [Green Version]
  3. Klein, K.J.; D’Aunno, T.A. Psychological sense of community in the workplace. J. Community Psychol. 1986, 14, 365–377. [Google Scholar] [CrossRef]
  4. Abfalter, D.; Zaglia, M.E.; Mueller, J. Sense of virtual community: A follow up on its measurement. Comput. Hum. Behav. 2012, 28, 400–404. [Google Scholar] [CrossRef]
  5. Glynn, T.J. Neighborhood and sense of community. J. Community Psychol. 1986, 14, 341–352. [Google Scholar] [CrossRef]
  6. Nasar, J.L.; Julian, D.A. The psychological sense of community in the neighborhood. J. Am. Plan. Assoc. 1995, 61, 178–184. [Google Scholar] [CrossRef]
  7. French, S.; Wood, L.; Foster, S.A.; Giles-Corti, B.; Frank, L.; Learnihan, V. Sense of community and its association with the neighborhood built environment. Environ. Behav. 2014, 46, 677–697. [Google Scholar] [CrossRef]
  8. Mahmoudi Farahani, L. The value of the sense of community and neighbouring. Hous. Theory Soc. 2016, 33, 357–376. [Google Scholar] [CrossRef]
  9. Ross, C.E.; Jang, S.J. Neighborhood disorder, fear, and mistrust: The buffering role of social ties with neighbors. Am. J. Community Psychol. 2000, 28, 401–420. [Google Scholar] [CrossRef]
  10. Xu, Q.; Perkins, D.D.; Chow, J.C.-C. Sense of community, neighboring, and social capital as predictors of local political participation in China. Am. J. Community Psychol. 2010, 45, 259–271. [Google Scholar] [CrossRef] [PubMed]
  11. Ohmer, M.L. Citizen participation in neighborhood organizations and its relationship to volunteers’ self-and collective efficacy and sense of community. Soc. Work Res. 2007, 31, 109–120. [Google Scholar] [CrossRef]
  12. Moustafa, Y.M. Design and neighborhood sense of community: An integrative and cross-culturally valid theoretical framework. ArchNet-IJAR 2009, 3, 71–91. [Google Scholar]
  13. Cohrun, S.E. Understanding and enhancing neighborhood sense of community. J. Plan. Lit. 1994, 9, 92–99. [Google Scholar] [CrossRef]
  14. Prezza, M.; Pacilli, M.G.; Barbaranelli, C.; Zampatti, E. The MTSOCS: A multidimensional sense of community scale for local communities. J. Community Psychol. 2009, 37, 305–326. [Google Scholar] [CrossRef]
  15. Jason, L.A.; Stevens, E.; Ram, D. Development of a three-factor psychological sense of community scale. J. Community Psychol. 2015, 43, 973–985. [Google Scholar] [CrossRef] [Green Version]
  16. Douglas, E. An improved test for neighborhood sense of community. J. Community Psychol. 2022, 50, 3252–3279. [Google Scholar] [CrossRef] [PubMed]
  17. Sarason, S.B. The Psychological Sense of Community: Prospects for a Community Psychology; Jossey-Bass: San Francisco, CA, USA, 1974. [Google Scholar]
  18. Pendola, R.; Gen, S. Does “Main Street” promote sense of community? A comparison of San Francisco neighborhoods. Environ. Behav. 2008, 40, 545–574. [Google Scholar] [CrossRef]
  19. Jung, E.; Lee, J.; Kim, K. The relationship between pedestrian environments and sense of community in apartment complexes in Seoul, Korea. J. Asian Archit. Build. Eng. 2015, 14, 411–418. [Google Scholar] [CrossRef] [Green Version]
  20. Morales-Flores, P.; Marmolejo-Duarte, C. Can we build walkable environments to support social capital? Towards a spatial understanding of social capital; a scoping review. Sustainability 2021, 13, 13259. [Google Scholar] [CrossRef]
  21. Francis, J.; Giles-Corti, B.; Wood, L.; Knuiman, M. Creating sense of community: The role of public space. J. Environ. Psychol. 2012, 32, 401–409. [Google Scholar] [CrossRef]
  22. Chitrakar, R.M. Meaning of public space and sense of community: The case of new neighbourhoods in the Kathmandu Valley. ArchNet-IJAR Int. J. Archit. Res. 2016, 10, 213. [Google Scholar] [CrossRef]
  23. Yu, A. Open space and sense of community of older adults: A study in a residential area in Hong Kong. Archnet-IJAR Int. J. Archit. Res. 2021, 15, 539–554. [Google Scholar] [CrossRef]
  24. Tsai, T.-I.A. Strategies of building a stronger sense of community for sustainable neighborhoods: Comparing neighborhood accessibility with community empowerment programs. Sustainability 2014, 6, 2766–2785. [Google Scholar] [CrossRef] [Green Version]
  25. Dipeolu, A.A.; Ibem, E.O.; Fadamiro, J.A. Influence of green infrastructure on sense of community in residents of Lagos Metropolis, Nigeria. J. Hum. Behav. Soc. Environ. 2020, 30, 743–759. [Google Scholar] [CrossRef]
  26. Yip, N.M.; Leung, T.T.F.; Huang, R. Impact of community on personal well-being in urban China. J. Soc. Serv. Res. 2013, 39, 675–689. [Google Scholar] [CrossRef]
  27. Liu, D.; Li, Z.; Guo, Y. The impacts of neighbourhood governance on residents’ sense of community: A case study of Wuhan, China. Urban Res. Pract. 2022, 1–19. [Google Scholar] [CrossRef]
  28. Zhang, F.; Loo, B.P.; Wang, B. Aging in place: From the neighborhood environment, sense of community, to life satisfaction. Ann. Am. Assoc. Geogr. 2022, 112, 1484–1499. [Google Scholar] [CrossRef]
  29. Walton, E. The meaning of community in diverse neighborhoods: Stratification of influence and mental health. Health Place 2018, 50, 6–15. [Google Scholar] [CrossRef] [PubMed]
  30. Zhang, J.; Wang, B. Rural place attachment and urban community integration of Chinese older adults in rural-to-urban relocation. Ageing Soc. 2022, 42, 1299–1317. [Google Scholar] [CrossRef]
  31. Gonyea, J.G.; Curley, A.; Melekis, K.; Lee, Y. Perceptions of neighborhood safety and depressive symptoms among older minority urban subsidized housing residents: The mediating effect of sense of community belonging. Aging Ment. Health 2018, 22, 1564–1569. [Google Scholar] [CrossRef]
  32. Ross, A.; Wood, L.; Searle, M. The indirect influence of child play on the association between parent perceptions of the neighborhood environment and sense of community. Health Place 2020, 65, 102422. [Google Scholar] [CrossRef] [PubMed]
  33. Zhang, Q.; Yung, E.H.K.; Chan, E.H.W. Towards sustainable neighborhoods: Challenges and opportunities for neighborhood planning in transitional urban China. Sustainability 2018, 10, 406. [Google Scholar] [CrossRef] [Green Version]
  34. Sharifi, A. Urban resilience assessment: Mapping knowledge structure and trends. Sustainability 2020, 12, 5918. [Google Scholar] [CrossRef]
  35. Dang, Q.; Luo, Z.; Ouyang, C.; Wang, L.; Xie, M. Intangible cultural heritage in China: A visual analysis of research hotspots, frontiers, and trends using citeSpace. Sustainability 2021, 13, 9865. [Google Scholar] [CrossRef]
  36. Hu, G.; Wang, L.; Ni, R.; Liu, W. Which h-index? An exploration within the Web of Science. Scientometrics 2020, 123, 1225–1233. [Google Scholar] [CrossRef]
  37. Liu, W. The data source of this study is Web of Science Core Collection? Not enough. Scientometrics 2019, 121, 1815–1824. [Google Scholar] [CrossRef]
  38. Yang, H.; Shao, X.; Wu, M. A review on ecosystem health research: A visualization based on CiteSpace. Sustainability 2019, 11, 4908. [Google Scholar] [CrossRef] [Green Version]
  39. Wu, Y.; Wang, H.; Wang, Z.; Zhang, B.; Meyer, B.C. Knowledge mapping analysis of rural landscape using CiteSpace. Sustainability 2019, 12, 66. [Google Scholar] [CrossRef] [Green Version]
  40. Lewicka, M. Place attachment: How far have we come in the last 40 years? J. Environ. Psychol. 2011, 31, 207–230. [Google Scholar] [CrossRef]
  41. Scannell, L.; Gifford, R. Defining place attachment: A tripartite organizing framework. J. Environ. Psychol. 2010, 30, 1–10. [Google Scholar] [CrossRef]
  42. Williams, D.R.; Vaske, J.J. The measurement of place attachment: Validity and generalizability of a psychometric approach. For. Sci. 2003, 49, 830–840. [Google Scholar]
  43. Lewicka, M. Ways to make people active: The role of place attachment, cultural capital, and neighborhood ties. J. Environ. Psychol. 2005, 25, 381–395. [Google Scholar] [CrossRef]
  44. Swapan, A.Y.; Bay, J.H.; Marinova, D. Built form and community building in residential neighbourhoods: A case study of physical distance in Subiaco, Western Australia. Sustainability 2018, 10, 1703. [Google Scholar] [CrossRef] [Green Version]
  45. Gibbons, J.; Barton, M.S.; Reling, T.T. Do gentrifying neighbourhoods have less community? Evidence from Philadelphia. Urban Stud. 2020, 57, 1143–1163. [Google Scholar] [CrossRef]
  46. Chipuer, H.M.; Pretty, G.M. A review of the sense of community index: Current uses, factor structure, reliability, and further development. J. Community Psychol. 1999, 27, 643–658. [Google Scholar] [CrossRef]
  47. Sampson, R.J.; Raudenbush, S.W.; Earls, F. Neighborhoods and violent crime: A multilevel study of collective efficacy. Science 1997, 277, 918–924. [Google Scholar] [CrossRef]
  48. Pretty, G.M.; Andrewes, L.; Collett, C. Exploring adolescents’ sense of community and its relationship to loneliness. J. Community Psychol. 1994, 22, 346–358. [Google Scholar] [CrossRef]
  49. Darlaston-Jones, D. Psychological sense of community and its relevance to well-being and everyday life in Australia. Aust. Community Psychol. 2007, 19, 1–25. [Google Scholar]
  50. Prezza, M.; Amici, M.; Roberti, T.; Tedeschi, G. Sense of community referred to the whole town: Its relations with neighboring, loneliness, life satisfaction, and area of residence. J. Community Psychol. 2001, 29, 29–52. [Google Scholar] [CrossRef]
  51. Perkins, D.D.; Long, D.A. Neighborhood sense of community and social capital. In Psychological Sense of Community; Springer: Berlin/Heidelberg, Germany, 2002; pp. 291–318. [Google Scholar]
  52. Dallago, L.; Perkins, D.D.; Santinello, M.; Boyce, W.; Molcho, M.; Morgan, A. Adolescent place attachment, social capital, and perceived safety: A comparison of 13 countries. Am. J. Community Psychol. 2009, 44, 148–160. [Google Scholar] [CrossRef]
  53. Francis, J.; Wood, L.J.; Knuiman, M.; Giles-Corti, B. Quality or quantity? Exploring the relationship between Public Open Space attributes and mental health in Perth, Western Australia. Soc. Sci. Med. 2012, 74, 1570–1577. [Google Scholar] [CrossRef]
  54. Li, X.; Li, Y.; Xia, B.; Han, Y. Pathways between neighbourhood walkability and mental wellbeing: A case from Hankow, China. J. Transp. Health 2021, 20, 101012. [Google Scholar] [CrossRef]
  55. Collins, C.R.; Neal, Z.P.; Neal, J.W. Transforming social cohesion into informal social control: Deconstructing collective efficacy and the moderating role of neighborhood racial homogeneity. J. Urban Aff. 2017, 39, 307–322. [Google Scholar] [CrossRef] [Green Version]
  56. Bradley, Q. Neighbourhood planning and the impact of place identity on housing development in England. Plan. Theory Pract. 2017, 18, 233–248. [Google Scholar] [CrossRef]
  57. Rogers, G.O.; Sukolratanametee, S. Neighborhood design and sense of community: Comparing suburban neighborhoods in Houston Texas. Landsc. Urban Plan. 2009, 92, 325–334. [Google Scholar] [CrossRef]
  58. Wood, L.; Frank, L.D.; Giles-Corti, B. Sense of community and its relationship with walking and neighborhood design. Soc. Sci. Med. 2010, 70, 1381–1390. [Google Scholar] [CrossRef]
  59. Wilson, W.J. The Truly Disadvantaged: The Inner City, the Underclass, and Public Policy; University of Chicago Press: Chicago, IL, USA, 2012. [Google Scholar]
  60. Anton, C.E.; Lawrence, C. Home is where the heart is: The effect of place of residence on place attachment and community participation. J. Environ. Psychol. 2014, 40, 451–461. [Google Scholar] [CrossRef] [Green Version]
  61. Whyte, W.H. The Social Life of Small Urban Spaces; Project for Public Spaces: New York, NY, USA, 2015. [Google Scholar]
  62. Peterson, N.A.; Speer, P.W.; McMillan, D.W. Validation of a brief sense of community scale: Confirmation of the principal theory of sense of community. J. Community Psychol. 2008, 36, 61–73. [Google Scholar] [CrossRef]
  63. Zhang, J.; Zhang, J.; Zhou, M.; Yu, N.X. Neighborhood characteristics and older adults’ well-being: The roles of sense of community and personal resilience. Soc. Indic. Res. 2018, 137, 949–963. [Google Scholar] [CrossRef]
  64. Mahmoudi Farahani, L.; Lozanovska, M. A framework for exploring the sense of community and social life in residential environments. Archnet-IJAR 2014, 8, 223–237. [Google Scholar] [CrossRef]
  65. Ross, A.; Searle, M. Conceptualization and validation of the Neighbourhood Cohesion Index using exploratory structural equation modelling. Community Dev. J. 2021, 56, 408–431. [Google Scholar] [CrossRef]
  66. Omariba, D.W.R. Neighbourhood characteristics, individual attributes and self-rated health among older Canadians. Health Place 2010, 16, 986–995. [Google Scholar]
  67. Prati, G.; Cicognani, E. A cross-lagged panel analysis of the relationship between neighborhood sense of community and school sense of community. Eur. J. Psychol. 2019, 15, 689. [Google Scholar]
  68. Özkan, D.G.; Özkan, S.D.; Akyol, D. Place satisfaction, place attachment and sense of community in neighborhoods: A case study on trabzon, turkey. Manag. Res. Pract. 2019, 11, 31–40. [Google Scholar]
  69. Chataway, M.L. Sense of place and feelings of safety: Examining young adults’ experiences of their local environment using mobile surveys. City Community 2020, 19, 656–675. [Google Scholar] [CrossRef]
  70. Ross, A.; Talmage, C.A.; Searle, M. Toward a flourishing neighborhood: The association of happiness and sense of community. Appl. Res. Qual. Life 2019, 14, 1333–1352. [Google Scholar] [CrossRef]
  71. Rubin, C.L.; Chomitz, V.R.; Woo, C.; Li, G.; Koch-Weser, S.; Levine, P. Arts, culture, and creativity as a strategy for countering the negative social impacts of immigration stress and gentrification. Health Promot. Pract. 2021, 22 (Suppl. S1), 131S–140S. [Google Scholar] [CrossRef]
  72. United Nations Environment Programme. Integrated Guidelines for Sustainable Neighborhood Design. Available online: https://www.neighbourhoodguidelines.org/ (accessed on 1 July 2021).
Figure 1. Annual publications.
Figure 1. Annual publications.
Sustainability 15 04183 g001
Figure 2. Co-occurring subject categories network.
Figure 2. Co-occurring subject categories network.
Sustainability 15 04183 g002
Figure 3. Top 4 subject categories with the strongest citation bursts.
Figure 3. Top 4 subject categories with the strongest citation bursts.
Sustainability 15 04183 g003
Figure 4. Author collaboration network.
Figure 4. Author collaboration network.
Sustainability 15 04183 g004
Figure 5. Institutional collaboration network.
Figure 5. Institutional collaboration network.
Sustainability 15 04183 g005
Figure 6. Reference clustering map by title.
Figure 6. Reference clustering map by title.
Sustainability 15 04183 g006
Figure 7. The keyword clustering map.
Figure 7. The keyword clustering map.
Sustainability 15 04183 g007
Figure 8. Keywords with the strongest citation bursts in different periods.
Figure 8. Keywords with the strongest citation bursts in different periods.
Sustainability 15 04183 g008
Table 1. Top 10 most co-occurring subject categories with their centrality.
Table 1. Top 10 most co-occurring subject categories with their centrality.
RankSubject CategoryFrequencyCentrality
1Urban studies2660.25
2Public, environmental & occupational health2350.21
3Environmental studies2350.16
4Psychology, multidisciplinary1630.04
5Social work1280.02
6Regional & urban planning1240.15
7Geography1100.11
8Sociology870.15
9Environmental science740.04
10Social sciences, interdisciplinary650.22
Table 2. Top 10 journals by number of publications.
Table 2. Top 10 journals by number of publications.
RankJournalPublicationsFrequencyCentralityIF 2021
1Journal of Community Psychology614240.022.297
2Cities321790.026.077
3Environment and Behavior293790.096.548
4American Journal of Community Psychology264350.044.019
5International Journal of Environmental Research and Public Health261030.004.477
6Journal of Environmental Psychology264130.057.649
7Social Science & Medicine243800.035.379
8Sustainability23740.013.389
9Health & Place213040.054.931
10Social Indicators Research191900.032.935
Table 3. Top 10 authors by numbers of publications.
Table 3. Top 10 authors by numbers of publications.
RankAuthorPublicationsFrequencyCentrality
1Wood, Lisa1060.00
2Giles-Corti, Billie1080.00
3Perkins, Douglas D.920.00
4Lardier, David 760.00
5Garcia-Reid, Pauline630.00
6Gatti, Flora640.00
7Hernandez, Bernardo 610.00
8Hipp, John R.640.00
9Peterson, N. Andrew 610.00
10Ohmer, Mary L. 510.00
Table 4. Top 10 journals by numbers of publications.
Table 4. Top 10 journals by numbers of publications.
RankInstitutionLocationPublicationsFrequencyCentrality
1University of Michigan Ann Arbor, MI, USA25140.00
2University of Western Australia Perth, Australia24100.01
3The Chinese University of Hong KongHong Kong, China23110.00
4Vanderbilt University Nashville, TN, USA2090.01
5University of Illinois at Urbana-ChampaignUrbana-Champaign, IL, USA19130.00
6University of QueenslandBrisbane, Australia19100.00
7The University of Hong KongHong Kong, China18110.01
8The University of British ColumbiaVancouver, BC, Canada1780.00
9University of TorontoToronto, ON, Canada1740.00
10The University of Melbourne Melbourne, Australia1670.00
Table 5. Top 10 countries by numbers of publications.
Table 5. Top 10 countries by numbers of publications.
RankCountryPublicationsFrequencyCentrality
1USA4094450.59
2China96940.04
3Canada921060.12
4UK901290.40
5Australia86980.20
6Italy43470.04
7Netherlands32460.13
8Israel26270.00
9Spain26380.12
10Japan21220.01
Table 6. Top 10 co-citation clusters by size.
Table 6. Top 10 co-citation clusters by size.
Cluster IDSizeSilhouetteMean Cited YearLabel (LLR)
0760.9672009Place attachment
1630.9042012Social life
2620.9662016Urban form
3600.9971996Community organization
4500.9771991Exploring adolescents’ sense
5480.9732004Psychological sense
6480.9692004Cultural capital
7470.9592007Perth Western Australia
8470.8972018Mental wellbeing
9440.9622014Neighborhood planning
Table 7. Top 10 co-citation references by size.
Table 7. Top 10 co-citation references by size.
RankAuthorTitleSourceFrequencyYearCentralityRefs.
1Wood et al. Sense of community and its relationship with walking and neighborhood design Social Science & Medicine1820100.37[58]
2Francis et al.Creating sense of community: The role of public space Journal of Environmental Psychology1520120.34[21]
3Wilson W.J.The Truly Disadvantaged: The Inner City, the Underclass, and Public Policy The Truly Disadvantaged:The Inner City, the Underclass, and Public Policy1520120.23[59]
4French et al.Sense of community and its association with the neighborhood built environmentEnvironmental andBehavior1420140.14[7]
5Anton and LawrenceHome is where the heart is: The effect of place of residence on place attachment and community participationJournal of Environmental Psychology1120140.21[60]
6Sampson et al.Neighborhoods and violent crime: A multilevel study of collective efficacyScience1119970.21[47]
7Whyte, W.HThe Social Life of Small Urban SpacesTheSocial LifeofSmall Urban Spaces1020150.01[61]
8Pretty et al.Exploring adolescents’ sense of community and its relationship to lonelinessJournal of CommunityPsychology919940.11[48]
9Peterson and PaulValidation of a brief sense of community scale: Confirmation of the principal theory of sense of communityJournal of CommunityPsychology920080.10[62]
10Scannell and GiffordDefining place attachment: A tripartite organizing frameworkJournal of Environmental Psychology920100.01[41]
Table 8. Top 10 keyword clusters by size.
Table 8. Top 10 keyword clusters by size.
Cluster IDSizeSilhouetteMean Cited YearLabel (LLR)
0560.7682011Physical activity
1450.8182006Attachment
2430.8422007Index
3430.9242004Mortality
4400.8682006Sense of community
5400.9082012Place attachment
6390.8412014Citizen participation
7380.8682003Fear of Crime
8360.8042012Mental health
9350.8892005Social capital
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Wang, W.; Gao, Y.; Pitts, A.; Dong, L. A Bibliometric Analysis of Neighborhood Sense of Community. Sustainability 2023, 15, 4183. https://doi.org/10.3390/su15054183

AMA Style

Wang W, Gao Y, Pitts A, Dong L. A Bibliometric Analysis of Neighborhood Sense of Community. Sustainability. 2023; 15(5):4183. https://doi.org/10.3390/su15054183

Chicago/Turabian Style

Wang, Wei, Yun Gao, Adrian Pitts, and Lili Dong. 2023. "A Bibliometric Analysis of Neighborhood Sense of Community" Sustainability 15, no. 5: 4183. https://doi.org/10.3390/su15054183

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop