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Detecting and analyzing urban regions with high impact of weather change on transport

journal contribution
posted on 2024-11-02, 06:37 authored by Ye Ding, Yanhua Li, Ke DengKe Deng, Haoyu Tan, Mingxuan Yuan, Lionel Ni
In this work, we focus on two fundamental questions that are unprecedentedly important to urban planners to understand the functional characteristics of various urban regions throughout a city, namely, (i) how to identify regional weather-traffic sensitivity index throughout a city, that indicates the degree to which the region traffic in a city is impacted by weather changes; (ii) among complex regional features, such as road structure and population density, how to dissect the most influential regional features that drive the urban region traffic to be more vulnerable to weather changes. However, these two questions are nontrivial to answer, because urban traffic changes dynamically over time and is essentially affected by many other factors, which may dominate the overall impact. We make the first study on these questions, by developing a weather-traffic index (WTI) system. The system includes two main components: weather-traffic index establishment and key factor analysis. Using the proposed system, we conducted comprehensive empirical study in Shanghai, and the weather-traffic indices extracted have been validated to be surprisingly consistent with real world observations. Further regional key factor analysis yields interesting results. For example, house age has significant impact on the weather-traffic index, which sheds light on future urban planning and reconstruction.

History

Journal

IEEE Transactions on Big Data

Volume

3

Issue

2

Start page

126

End page

139

Total pages

14

Publisher

IEEE

Place published

United States

Language

English

Copyright

© 2016 IEEE

Former Identifier

2006083108

Esploro creation date

2020-06-22

Fedora creation date

2018-09-20

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