Skip to main content

Advertisement

Log in

Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review

  • Published:
Environmental Management Aims and scope Submit manuscript

Abstract

Social media are being increasingly used to inform visitor use management in parks and protected areas. We review the state of the scientific literature to understand the ways social media has been, and can be, used to measure visitation, spatial patterns of use, and visitors’ experiences in parks and protected areas. Geotagged social media are a good proxy for actual visitation; however, the correlations observed by previous studies between social media and other sources of visitation data vary substantially. Most studies using social media to measure visitation aggregate data across many years, with very few testing the use of social media as a visitation proxy at smaller temporal scales. No studies have tested the use of social media to estimate visitation in near real-time. Studies have used geotags and GPS tracks to understand spatial patterns of where visitors travel within parks, and how that may relate to other variables (e.g., infrastructure), or differ by visitor type. Researchers have also found the text content, photograph content, and geotags from social media posts useful to understand aspects of visitors’ experiences, such as behaviors, preferences, and sentiment. The most cited concern with using social media is that this data may not be representative of all park users. Collectively, this body of research demonstrates a broad range of applications for social media. We synthesize our findings by identifying gaps and opportunities for future research and presenting a set of best practices for using social media in parks and protected areas.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data Availability

No new data were created for this paper. However, all tables created to help synthesize the literature are available as supplementary files.

Code Availability

All R code written for this paper is available: https://github.com/emilywilkins/Literature-Review

Notes

  1. Available at: github.com/emilywilkins/Literature-Review

  2. SAS was used to download Panoramio data and has since been depreciated. Google Earth was used to download Wikiloc data; this feature was removed from Google Earth in 2019 (Wikiloc 2020).

References

  • Arkema KK, Verutes GM, Wood SA, Clarke-Samuels C, Rosado S, Canto M, Faries J (2015) Embedding ecosystem services in coastal planning leads to better outcomes for people and nature. Proc Natl Acad Sci 112(24):7390–7395

    Article  CAS  Google Scholar 

  • Barros C, Moya-Gómez B, Gutiérrez J (2019) Using geotagged photographs and GPS tracks from social networks to analyse visitor behaviour in national parks. Curr Issues Tour 23(10):1291–1310

    Article  Google Scholar 

  • Barry SJ (2014) Using social media to discover public values, interests, and perceptions about cattle grazing on park lands. Environ Manag 53(2):454–464. https://doi.org/10.1007/s00267-013-0216-4

    Article  Google Scholar 

  • Breckheimer IK, Theobald EJ, Cristea NC, Wilson AK, Lundquist JD, Rochefort RM, HilleRisLambers J (2019) Crowd-sourced data reveal social–ecological mismatches in phenology driven by climate. Front Ecol Environ 18(2):76–82

    Article  Google Scholar 

  • Callau AÀ, Albert MYP, Rota JJ, Giné DS (2019) Landscape characterization using photographs from crowdsourced platforms: content analysis of social media photographs. Open Geosci 11(1):558–571

    Article  Google Scholar 

  • Campelo MB, Mendes RMN (2016) Comparing webshare services to assess mountain bike use in protected areas. J Outdoor Recreation Tour 15:82–88

    Article  Google Scholar 

  • Cessford G, Muhar A (2003) Monitoring options for visitor numbers in national parks and natural areas. J Nat Conserv 11(4):240–250

    Article  Google Scholar 

  • Clemente P, Calvache M, Antunes P, Santos R, Cerdeira JO, Martins MJ (2019) Combining social media photographs and species distribution models to map cultural ecosystem services: the case of a Natural Park in Portugal. Ecol Indic 96:59–68

    Article  Google Scholar 

  • Conti E, Lexhagen M (2020) Instagramming nature-based tourism experiences: a netnographic study of online photography and value creation. Tour Manag Perspect 34:100650

    Article  Google Scholar 

  • Crampton JW, Graham M, Poorthuis A, Shelton T, Stephens M, Wilson MW, Zook M (2013) Beyond the geotag: situating ‘big data’ and leveraging the potential of the geoweb. Cartogr Geogr Inform Sci 40(2):130–139

    Article  Google Scholar 

  • Di Minin E, Tenkanen H, Toivonen T (2015) Prospects and challenges for social media data in conservation science. Front Environ Sci 3:63

    Article  Google Scholar 

  • Do Y, Kim JY (2020) An assessment of the aesthetic value of protected wetlands based on a photo content and its metadata. Ecol Eng 150:105816

    Article  Google Scholar 

  • Donahue ML, Keeler BL, Wood SA, Fisher DM, Hamstead ZA, McPhearson T (2018) Using social media to understand drivers of urban park visitation in the Twin Cities, MN. Landsc Urban Plan 175:1–10

    Article  Google Scholar 

  • Dunkel A (2015) Visualizing the perceived environment using crowdsourced photo geodata. Landsc Urban Plan 142:173–186

    Article  Google Scholar 

  • Fisher DM, Wood SA, Roh YH, Kim CK (2019) The geographic spread and preferences of tourists revealed by user-generated information on Jeju Island. South Korea Land 8(5):73

    Google Scholar 

  • Fisher DM, Wood SA, White EM, Blahna DJ, Lange S, Weinberg A, Lia E (2018) Recreational use in dispersed public lands measured using social media data and on-site counts. J Environ Manag 222:465–474

    Article  Google Scholar 

  • Fotheringham AS, Wong DW (1991) The modifiable areal unit problem in multivariate statistical analysis. Environ Plan A 23(7):1025–1044

    Article  Google Scholar 

  • Garzia F, Borghini F, Bruni A, Mighetto P, Ramalingam S, Russo B (2020) Emotional reactions to the perception of risk in the Pompeii Archaeological Park. Int J Saf Secur Eng 10(1):11–16

    Google Scholar 

  • Ghermandi A, Sinclair M (2019) Passive crowdsourcing of social media in environmental research: a systematic map. Glob Environ Change 55:36–47

    Article  Google Scholar 

  • Gosal AS, Geijzendorffer IR, Václavík T, Poulin B, Ziv G (2019) Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosyst Serv 38:100958

    Article  Google Scholar 

  • Hammitt WE, Cole DN, Monz, CA (2015) Wildland recreation: ecology and management. John Wiley & Sons, Chichester, UK

  • Hamstead ZA, Fisher D, Ilieva RT, Wood SA, McPhearson T, Kremer P (2018) Geolocated social media as a rapid indicator of park visitation and equitable park access. Comput, Environ Urban Syst 72:38–50

    Article  Google Scholar 

  • Hausmann A, Toivonen T, Heikinheimo V, Tenkanen H, Slotow R, Di Minin E (2017) Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areas. Sci Rep 7(1):1–9

    Article  CAS  Google Scholar 

  • Hausmann A, Toivonen T, Slotow R, Tenkanen H, Moilanen A, Heikinheimo V, Di Minin E (2017) Social media data can be used to understand tourists’ preferences for nature‐based experiences in protected areas. Conserv Lett 11(1):e12343

    Article  Google Scholar 

  • Heikinheimo V, Minin ED, Tenkanen H, Hausmann A, Erkkonen J, Toivonen T (2017) User-generated geographic information for visitor monitoring in a national park: a comparison of social media data and visitor survey. ISPRS Int J Geo-Inform 6(3):85

    Article  Google Scholar 

  • Huang S-CL, Sun W-E (2019) Exploration of social media for observing improper tourist behaviors in a national park. Sustainability 11(6):1637

    Article  Google Scholar 

  • Johnson ML, Campbell LK, Svendsen ES, McMillen HL (2019) Mapping urban park cultural ecosystem services: a comparison of twitter and semi-structured interview methods. Sustainability 11(21):6137

    Article  Google Scholar 

  • Karasov O, Vieira AAB, Külvik M, Chervanyov I (2020) Landscape coherence revisited: GIS-based mapping in relation to scenic values and preferences estimated with geolocated social media data. Ecol Indic 111:105973

    Article  Google Scholar 

  • Kim Y, Kim C-k, Lee DK, Lee H-w, Andrada RIT (2019) Quantifying nature-based tourism in protected areas in developing countries by using social big data. Tour Manag 72:249–256

    Article  Google Scholar 

  • Kovacs-Györi A, Ristea A, Kolcsar R, Resch B, Crivellari A, Blaschke T (2018) Beyond spatial proximity—classifying parks and their visitors in London based on spatiotemporal and sentiment analysis of Twitter data. ISPRS Int J Geo-Inform 7(9):378

    Article  Google Scholar 

  • Kuehn D, Gibbs J, Goldspiel H, Barr B, Sampson A, Moutenot M,… Stradtman L (2020) Using social media data and park characteristics to understand park visitation. J Park Recreat Admin 38(2):135–145

  • Leggett C, Horsch E, Smith C, Unsworth R (2017) Estimating recreational visitation to federally-managed lands. Cambridge, MA

  • Leung Y-F, Halpenny E, Salenieks T, Manning R, Bride I, Walden-Schreiner C, Buckley R (2018) Adaptive management for sustainable tourism. In: Y-F Leung, A Spenceley, G Hvenegaard, & R. Buckley (eds) Tourism and visitor management in protected areas: guidelines for sustainability, IUCN, Gland, Switzerland, p. 41–62

  • Levin N, Kark S, Crandall D (2015) Where have all the people gone? Enhancing global conservation using night lights and social media. Ecol Appl 25(8):2153–2167

    Article  Google Scholar 

  • Levin N, Lechner AM, Brown G (2017) An evaluation of crowdsourced information for assessing the visitation and perceived importance of protected areas. Appl Geogr 79:115–126

    Article  Google Scholar 

  • Li F, Li F, Li S, Long Y (2020) Deciphering the recreational use of urban parks: experiments using multi-source big data for all Chinese cities. Sci Total Environ 701:134896

    Article  CAS  Google Scholar 

  • Liang Y, Kirilenko AP, Stepchenkova SO, Ma S (2019) Using social media to discover unwanted behaviours displayed by visitors to nature parks: comparisons of nationally and privately owned parks in the Greater Kruger National Park, South Africa. Tour Recreat Res 45(2):271–276

    Google Scholar 

  • Lopez BE, Magliocca NR, Crooks AT (2019) Challenges and opportunities of social media data for socio-environmental systems research. Land 8(7):107

    Article  Google Scholar 

  • Mancini F, Coghill GM, Lusseau D (2018) Using social media to quantify spatial and temporal dynamics of nature-based recreational activities. PLoS ONE 13(7):e0200565

    Article  CAS  Google Scholar 

  • Martinez-Harms MJ, Bryan BA, Wood SA, Fisher DM, Law E, Rhodes JR, Wilson KA (2018) Inequality in access to cultural ecosystem services from protected areas in the Chilean biodiversity hotspot. Sci Total Environ 636:1128–1138

    Article  CAS  Google Scholar 

  • McCreary A, Seekamp E, Davenport M, Smith JW (2019) Exploring qualitative applications of social media data for place-based assessments in destination planning. Curr Issues Tour 23(1):82–98

    Article  Google Scholar 

  • Millennium Ecosystem Assessment (2005) Ecosystems and human well-being: synthesis. Island press, Washington, DC

    Google Scholar 

  • Mitchell L, Frank MR, Harris KD, Dodds PS, Danforth CM (2013) The geography of happiness: Connecting twitter sentiment and expression, demographics, and objective characteristics of place. PLoS ONE 8(5)

  • Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 151(4):264–269

    Article  Google Scholar 

  • Muñoz L, Hausner VH, Runge C, Brown G, Daigle R (2020) Using crowdsourced spatial data from Flickr vs. PPGIS for understanding nature’s contribution to people in Southern Norway. People Nat 2(2):437–449

    Article  Google Scholar 

  • National Coordination Office for Space-Based Positioning. (2020). GPS Accuracy. GPS.gov. https://www.gps.gov/systems/gps/performance/accuracy/

  • National Park Service (2020) Visitation Numbers. About us. https://www.nps.gov/aboutus/visitation-numbers.htm

  • Norman P, Pickering CM (2017) Using volunteered geographic information to assess park visitation: comparing three on-line platforms. Appl Geogr 89:163–172

    Article  Google Scholar 

  • Norman P, Pickering CM (2019) Factors influencing park popularity for mountain bikers, walkers and runners as indicated by social media route data. J Environ Manag 249:109413

    Article  Google Scholar 

  • Norman P, Pickering CM, Castley G (2019) What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves? Landsc Urban Plan 185:180–190

    Article  Google Scholar 

  • Obar JA, Wildman SS (2015) Social media definition and the governance challenge-an introduction to the special issue. Telecommun Policy 39(9):745–750

    Article  Google Scholar 

  • Orsi F, Geneletti D (2013) Using geotagged photographs and GIS analysis to estimate visitor flows in natural areas. J Nat Conserv 21(5):359–368

    Article  Google Scholar 

  • Petticrew M, Roberts H (2006) Systematic reviews in the social sciences: a practical guide. Blackwell Publishing, Malden, MA, USA

  • Pickering C, Walden-Schreiner C, Barros A, Rossi SD (2020) Using social media images and text to examine how tourists view and value the highest mountain in Australia. J Outdoor Recreat Tour 29:100252

    Article  Google Scholar 

  • Plunz RA, Zhou Y, Vintimilla MIC, Mckeown K, Yu T, Uguccioni L, Sutto MP (2019) Twitter sentiment in New York City parks as measure of well-being. Landsc Urban Plan 189:235–246

    Article  Google Scholar 

  • Retka J, Jepson P, Ladle RJ, Malhado AC, Vieira FA, Normande IC, Correia RA (2019) Assessing cultural ecosystem services of a large marine protected area through social media photographs. Ocean Coast Manag 176:40–48

    Article  Google Scholar 

  • Rice WL, Mueller JT, Graefe AR, Taff BD (2019) Detailing an approach for cost-effective visitor-use monitoring using crowdsourced activity data. J Park Recreation Admin 37(2)

  • Roberts H, Sadler J, Chapman L (2017) Using Twitter to investigate seasonal variation in physical activity in urban green space. Geo: Geogr Environ 4(2):e00041

    Google Scholar 

  • Roberts H, Sadler J, Chapman L (2019) The value of Twitter data for determining the emotional responses of people to urban green spaces: a case study and critical evaluation. Urban Stud 56(4):818–835

    Article  Google Scholar 

  • Rossi SD, Barros A, Walden-Schreiner C, Pickering C (2019) Using social media images to assess ecosystem services in a remote protected area in the Argentinean Andes. Ambio 49:1146–1160

    Article  Google Scholar 

  • Sessions C, Wood SA, Rabotyagov S, Fisher DM (2016) Measuring recreational visitation at U.S. National Parks with crowd-sourced photographs. J Environ Manag 183:703–711. https://doi.org/10.1016/j.jenvman.2016.09.018

    Article  Google Scholar 

  • Sharp R, Tallis HT, Ricketts T, Guerry AD, Wood SA, Chaplin-Kramer R,… Vigerstol K (2016) InVEST version 3.8.0 User’s Guide. The Natural Capital Project

  • Sim J, Miller P (2019) Understanding an urban park through big data. Int J Environ Res Public Health 16(20):3816

    Article  Google Scholar 

  • Sinclair M, Ghermandi A, Sheela AM (2018) A crowdsourced valuation of recreational ecosystem services using social media data: an application to a tropical wetland in India. Sci Total Environ 642:356–365

    Article  CAS  Google Scholar 

  • Sinclair M, Mayer M, Woltering M, Ghermandi A (2020) Using social media to estimate visitor provenance and patterns of recreation in Germany’s national parks. J Environ Manag 263:110418

    Article  Google Scholar 

  • Smith JW, Wilkins EJ, Leung Y-F (2019) Attendance trends threaten future operations of America’s state park systems. Proc Natl Acad Sci 116(26):12775–12780

    Article  CAS  Google Scholar 

  • Song XP, Richards DR, Tan PY (2020) Using social media user attributes to understand human–environment interactions at urban parks. Sci Rep 10(1):1–11

    Article  CAS  Google Scholar 

  • Song Y, Zhang B (2020) Using social media data in understanding site-scale landscape architecture design: taking Seattle Freeway Park as an example. Landsc Res 1-22

  • Sonter LJ, Watson KB, Wood SA, Ricketts TH (2016) Spatial and temporal dynamics and value of nature-based recreation, estimated via social media. PLoS ONE 11(9):e0162372. https://doi.org/10.1371/journal.pone.0162372

    Article  CAS  Google Scholar 

  • Teles da Mota VT, Pickering C (2020) Using social media to assess nature-based tourism: current research and future trends. J Outdoor Recreat Tour 30:100295

    Article  Google Scholar 

  • Tenkanen H, Di Minin E, Heikinheimo V, Hausmann A, Herbst M, Kajala L, Toivonen T (2017) Instagram, Flickr, or Twitter: assessing the usability of social media data for visitor monitoring in protected areas. Sci Rep 7(1):17615. https://doi.org/10.1038/s41598-017-18007-4

    Article  CAS  Google Scholar 

  • Tieskens KF, Van Zanten BT, Schulp CJ, Verburg PH (2018) Aesthetic appreciation of the cultural landscape through social media: an analysis of revealed preference in the Dutch river landscape. Landsc Urban Plan 177:128–137

    Article  Google Scholar 

  • Toivonen T, Heikinheimo V, Fink C, Hausmann A, Hiippala T, Järv O, Di Minin E (2019) Social media data for conservation science: a methodological overview. Biol Conserv 233:298–315

    Article  Google Scholar 

  • Ullah H, Wan W, Haidery SA, Khan NU, Ebrahimpour Z, Muzahid AAM (2020) Spatiotemporal patterns of visitors in urban green parks by mining social media big data based upon WHO reports. IEEE Access 8:39197–39211

    Article  Google Scholar 

  • Vaz AS, Gonçalves JF, Pereira P, Santarém F, Vicente JR, Honrado JP (2019) Earth observation and social media: evaluating the spatiotemporal contribution of non-native trees to cultural ecosystem services. Remote Sens Environ 230:111193

    Article  Google Scholar 

  • Vaz AS, Moreno‐Llorca RA, Gonçalves JF, Vicente JR, Méndez PF, Revilla E,… Alcaraz‐Segura D (2020) Digital conservation in biosphere reserves: earth observations, social media, and nature’s cultural contributions to people. Conserv Lett e12704

  • Vieira FA, Bragagnolo C, Correia RA, Malhado AC, Ladle RJ (2018) A salience index for integrating multiple user perspectives in cultural ecosystem service assessments. Ecosyst Serv 32:182–192

    Article  Google Scholar 

  • Walden-Schreiner C, Leung Y-F, Tateosian L (2018) Digital footprints: Incorporating crowdsourced geographic information for protected area management. Appl Geogr 90:44–54

    Article  Google Scholar 

  • Walden-Schreiner C, Rossi SD, Barros A, Pickering C, Leung Y-F (2018) Using crowd-sourced photos to assess seasonal patterns of visitor use in mountain-protected areas. Ambio 47(7):781–793

    Article  Google Scholar 

  • Willemen L, Cottam AJ, Drakou EG, Burgess, ND (2015) Using social media to measure the contribution of red list species to the nature-based tourism potential of African protected areas. PLoS ONE 10(6)

  • Wikiloc (2020) How are trails selected for Google Earth? https://help.wikiloc.com/article/485-select-trails-tracks-routes-google-earth

  • Wilkins EJ, Smith JW, Keane R (2020) Social media communication preferences of national park visitors. Appl Environ Educ Commun 19(1):4–18. https://doi.org/10.1080/1533015X.2018.1486247

    Article  Google Scholar 

  • Wood SA, Guerry AD, Silver JM, Lacayo M (2013) Using social media to quantify nature-based tourism and recreation. Sci Rep 3:2976. https://doi.org/10.1038/srep02976

    Article  Google Scholar 

  • Xu F, Nash N, Whitmarsh L (2019) Big data or small data? A methodological review of sustainable tourism. J Sustain Tour 28(2):144–163

    Article  Google Scholar 

  • Yoshimura N, Hiura T (2017) Demand and supply of cultural ecosystem services: use of geotagged photos to map the aesthetic value of landscapes in Hokkaido. Ecosyst Serv 24:68–78

    Article  Google Scholar 

  • Zhang S, Zhou W (2018) Recreational visits to urban parks and factors affecting park visits: evidence from geotagged social media data. Landsc Urban Plan 180:27–35

    Article  Google Scholar 

Download references

Acknowledgements

EJW received support from the National Science Foundation [Grant No. 1633756], the Utah State University Office of Research, and the Institute of Outdoor Recreation and Tourism at Utah State University. SAW was supported by a Data Science Environments project award from the Gordon and Betty Moore Foundation [Award #2013-10-29] and the Alfred P. Sloan Foundation [Award #3835] to the University of Washington eScience Institute.

Author information

Authors and Affiliations

Authors

Contributions

EJW: conceptualization, formal analysis, investigation, methodology, visualization, writing—original draft. SAW: writing—review and editing. JWS: conceptualization, writing—review and editing, supervision.

Corresponding author

Correspondence to Emily J. Wilkins.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wilkins, E.J., Wood, S.A. & Smith, J.W. Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review. Environmental Management 67, 120–132 (2021). https://doi.org/10.1007/s00267-020-01373-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00267-020-01373-7

Keywords

Navigation