Abstract
Levels of public satisfaction among the inhabitants of Burgos with their urban waste collection service are analyzed by comparing satisfaction levels in 2006 and in 2016, as well as the homogeneity of these satisfaction levels in the different areas of the city into which it was divided in 2016. To do so, an empirical exploratory analysis is completed on a representative sample of the population. A regression model is used to identify the significant factors from among all of the factors in the analysis. Then, a predictive model is defined that increases the probability of successful decision-making among the managers responsible for this service. The results provide support for one of the starting hypotheses, considering the daily collection of organic waste, the daily collection of selective waste, the capacity of organic waste containers, the proximity of organic waste containers, the cleanliness of pavements and the cleanliness of walkways as significant factors in the evaluation of public satisfaction. With these factors, the predictive model offers us a certainty index of 66.26% in its predictions.
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Notes
Containers capacity = 2900 Ls. Container proximity = 150–200 ms.
Kilograms per inhabitant per day = (total waste volume/total population)/365.
Application of the scales from 1 to 10, where 1 = very unsatisfied and 10 = very satisfied. The questionnaire is available on request from the authors. In addition to the variables used for this study, the questionnaire was completed with other categorization variables and open variables to collect the subjective opinion of the public. The open variables will allow us to gather ideas for improvement and to conduct an evaluation for the improvement of service provision in future works.
Prior to the data-collection stage, the students followed a training course on aspects to be taken into account in the completion of the field work, after which they were given the questionnaires and allocated zones.
Given the relatively small population and the greater dispersion in zone 6 (outer Burgos), that zone was oversampled, raising it to 172 cases. Subsequently, the corresponding weightings were attached for data analysis purposes.
A minimum value of 0.7 was considered.
Significance level of 5% (p value < 0.05) (considered throughout the study).
Minitab v. 17 statistical software was used (http://www.minitab.com/es-mx/).
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This work was supported by the City Council of Burgos and the service company SEMAT S.A.
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Puche Regaliza, J.C., Alvear González, A., Aparicio Castillo, S. et al. Key factors in levels of public satisfaction with urban waste collection in a northern Spain city. J Mater Cycles Waste Manag 20, 1842–1856 (2018). https://doi.org/10.1007/s10163-018-0713-x
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DOI: https://doi.org/10.1007/s10163-018-0713-x