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Achieving Least Relocation of Existing Facilities in Spatial Optimisation: A Bi-Objective Model

Chen, H; Xu, R; (2023) Achieving Least Relocation of Existing Facilities in Spatial Optimisation: A Bi-Objective Model. In: Leibniz International Proceedings in Informatics (LIPIcs). (pp. 19:1-19:5). Leibniz-Zentrum für Informatik, Dagstuhl Publishing: Dagstuhl, Germany. Green open access

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Abstract

Spatial optimisation models have been widely used to support locational decision making of public service systems (e.g. hospitals, fire stations), such as selecting the optimal locations to maximise the coverage. These service systems are generally the product of long-term evolution, and there usually are existing facilities in the system. These existing facilities should not be neglected or relocated without careful consideration as they have financial or management implications. However, spatial optimisation models that account for the relocation or maintenance of existing facilities are understudied. In this study, we revisit a planning scenario where two objectives are adopted, including the minimum number of sites selected and the least relocation of existing facilities. We propose and discuss three different approaches that can achieve these two objectives. This model and the three approaches are applied to two case studies of optimising the retail stores in San Francisco and the large-scale COVID-19 vaccination network in England. The implications of this model and the efficiency of these approaches are discussed.

Type: Proceedings paper
Title: Achieving Least Relocation of Existing Facilities in Spatial Optimisation: A Bi-Objective Model
Event: 12th International Conference on Geographic Information Science (GIScience 2023)
Open access status: An open access version is available from UCL Discovery
DOI: 10.4230/LIPIcs.GIScience.2023.19
Publisher version: https://doi.org/10.4230/LIPIcs.GIScience.2023.19
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Spatial optimisation, location set cover problem, multiple objective
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10179077
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