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An Online Multicriteria—Spatial Decision Support System for Public Services Planning.

Authors :
Krügel, Falko
Mäs, Stephan
Hindorf, Paul
Buthmann, Erik
Source :
Applied Sciences (2076-3417); Feb2024, Vol. 14 Issue 4, p1526, 18p
Publication Year :
2024

Abstract

Featured Application: The developed prototype is a tool to evaluate a supply situation and to plan required infrastructures more efficiently and precisely. It is part of a proposal for an integrated planning tool that covers several areas of supply planning. Dynamic processes in society and demographics require a rapid response and adaptation of the existing public service infrastructure. Responsible planners must be able to analyse the situation, identify gaps in provision and derive decisions. The paper presents a web application that supports finding answers to various questions and planning decisions in the context of public service infrastructures (e.g., schools, pharmacies, supermarkets). Due to the high complexity, the combination of multi-criteria decision analysis and geographical information systems, especially in the web context, is still rarely implemented. With this spatial decision support system, we are pursuing an approach that makes multi-criteria analyses with spatially explicit methods available to the planning domain. By using this application, the user can select and adjust input parameters independently and thus strongly influence the analysis process and results—without a deep knowledge of decision-making methods or software skills. With such a centrally provided online multi-criteria spatial decision support system, the transparency and the quality of the analysis increase, while the workload for the planners is reduced, since they no longer have to spend time on preliminary data search and integration or on building complex methods and models themselves. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
14
Issue :
4
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
175652514
Full Text :
https://doi.org/10.3390/app14041526