Urban Studies

Assessing urban livability in Shanghai through an open source data-driven approach

Y. Long, Y. Wu, et al.

Explore the innovative framework developed by authors Yin Long, Yi Wu, Liqiao Huang, Jelena Aleksejeva, Deljana Lossifova, Nannan Dong, and Alexandros Gasparatos to analyze urban livability in Shanghai. This research utilizes open-source data to reveal insights into housing, transportation, and living conditions that can guide future urban planning efforts.

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Abstract

This paper develops a framework to analyze urban livability patterns in Shanghai using open-source data. The framework integrates data on housing, population, transportation, and points of interest (POIs) to identify areas with low livability. The findings provide insights into residential living conditions and inform urban planning. The method is potentially applicable to other cities.

Publisher

npj Urban Sustainability

Published On

Feb 26, 2024

Authors

Yin Long, Yi Wu, Liqiao Huang, Jelena Aleksejeva, Deljana Lossifova, Nannan Dong, Alexandros Gasparatos

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