Abstract
The concept of environmental sustainable development is in fact a response to the environmental and social damaging effects. Urban sustainable development is one of the foundations for achieving environmental sustainable development and social justice; thus, the location allocation of urban facilities has to be optimized. Location allocation models are among the most widely used methods in GIS spatial analysis. Owing to their importance in recent decades, many unified models have been developed that can solve diverse types of location allocation problems. Recently, several methods have been developed to solve different location allocation problems within the unified vector assignment ordered median problem (VAOMP) model. These methods combine P-Median and Coverage models, based on the tabu search metaheuristic algorithm. The present study uses the unified VAOMP model, integrated GIS, and both tabu search (TS) and simulated annealing (SA) metaheuristic algorithms to solve location allocation problems. The study assesses its findings in two different scenarios for fire stations. The results of applying the two algorithms in terms of time, the number of covered demands, and the quality of the solutions were examined. Comparisons showed that the TS algorithm was faster in solving P-Median problems and generated more qualitative solutions than SA. However, the SA algorithm had less runtime in Coverage and P-Center problems. The results also showed that the VAOMP model is a qualified model in the field of location allocation, which can be used in various fields, in particular, to examine the status of urban facilities in achieving social justice and urban sustainable development.
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I thank my distinguished professors for helping me write this article and their valuable guidance.
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Bolouri, S., Vafeainejad, A., Alesheikh, A. et al. Environmental sustainable development optimizing the location of urban facilities using vector assignment ordered median problem-integrated GIS. Int. J. Environ. Sci. Technol. 17, 3033–3054 (2020). https://doi.org/10.1007/s13762-019-02573-3
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DOI: https://doi.org/10.1007/s13762-019-02573-3