Li, Y., Zhao, Q. and Wang, M. (2023) Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839683)
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Abstract
This research applies spatial Durbin model to analyse traffic flow distributions via various factors in the urban areas and traffic flow data. The results show that the overall built environment within a buffer area has more significant impact on urban traffic flow compared to the nearby location within a few meters. Areas with more young and white dwellers are associated with more traffic flows. With the influence of COVID-19, residents prefer to spend their daily life in their local neighborhood rather than having long distance travel. The initial findings from this research provide evidence of developing 20-minute city via active travel for achieving net-zero carbon target.
Item Type: | Conference Proceedings |
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Additional Information: | The first author is funded by the China Scholarship Council (CSC) from the Ministry of Education of P.R. China. Dr. Qunshan Zhao has received UK ESRC’s on-going support for the Urban Big Data Centre (UBDC) [ES/L011921/1 and ES/S007105/1]. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Wang, Dr Mingshu and Zhao, Dr Qunshan |
Authors: | Li, Y., Zhao, Q., and Wang, M. |
College/School: | College of Science and Engineering > School of Geographical and Earth Sciences College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Copyright Holders: | Copyright © 2023 The Authors |
First Published: | First published in 31st Annual Geographical Information Science Research UK Conference (GISRUK) |
Publisher Policy: | Reproduced under a Creative Commons license |
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