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

Author:

Krügel Falko1ORCID,Mäs Stephan1ORCID,Hindorf Paul1ORCID,Buthmann Erik1ORCID

Affiliation:

1. Faculty of Environmental Sciences, Chair of Geoinformatics, Technical University Dresden, 01069 Dresden, Germany

Abstract

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.

Funder

Lower Saxony Ministry of the Interior and Sport

the Lower Saxony Ministry of Federal

European Affairs and Regional Development

Publisher

MDPI AG

Reference41 articles.

1. Lutz, W. (2010). The New Generations of Europeans: Demography and Families in the Enlarged European Union, Taylor and Francis.

2. Lutz, W. (2010). The New Generations of Europeans: Demography and Families in the Enlarged European Union, Taylor and Francis.

3. Nübel, K., Bühler, M.M., and Jelinek, T. (2021). Federated Digital Platforms: Value Chain Integration for Sustainable Infrastructure Planning and Delivery. Sustainability, 13.

4. Ehrgott, M., Figueira, J.R., and Greco, S. (2010). Trends in Multiple Criteria Decision Analysis, Springer.

5. Ehrgott, M., Figueira, J.R., and Greco, S. (2010). Trends in Multiple Criteria Decision Analysis, Springer.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3