A Data-Driven Exploration of Urban Systems: Unveiling the Mysteries of City Sustainability

DOI

10.2991/978-94-6463-793-9_46How to use a DOI?

Keywords

Urban sustainability; TOPSIS-Entropy method; Decision tree regression; resilience assessment; entropy weight method; urban development

Abstract

In the face of the dual challenges of an aging population, negative growth, and the increasing frequency of extreme climate events, urban sustainability has become a key concern in contemporary development strategies. This study proposes a comprehensive assessment framework to tackle these challenges, utilizing the TOPSIS-Entropy weighting method to evaluate urban systems across three critical dimensions: housing, service provision, and resilience. Through careful data preprocessing, precise model construction, and multi-dimensional analysis, the framework identifies vulnerabilities within urban systems and provides actionable insights into enhancing sustainability. By comparing two representative cities, the study reveals key disparities in infrastructure, service distribution, and resilience capacities, offering a deeper understanding of the factors that influence sustainable urban development. The findings provide valuable guidance for policymakers, urban planners, and stakeholders, offering actionable recommendations to optimize resource allocation, improve service accessibility, and enhance cities’ resilience to external shocks. This research underscores the crucial role of data-driven approaches in shaping long-term urban planning and promoting sustainable development.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaolei Tian
AU  - Jianwei Ren
PY  - 2025
DA  - 2025/07/28
TI  - A Data-Driven Exploration of Urban Systems: Unveiling the Mysteries of City Sustainability
BT  - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
PB  - Atlantis Press
SP  - 543
EP  - 549
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-793-9_46
DO  - 10.2991/978-94-6463-793-9_46
ID  - Tian2025
ER  -