Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China: A real-time data based investigation-Reference-Cited by-同舟云学术

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Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China: A real-time data based investigation

Published:2022-07 Issue: Volume:95 Page:106808
ISSN:0195-9255
Container-title:Environmental Impact Assessment Review
language:en
Short-container-title:Environmental Impact Assessment Review

Author:

Wei Xiaoxuan,Ren Yitian,Shen Liyin,Shu Tianheng

Funder

Chinese National Funding of Social Sciences

University of Manchester

Science for Equity, Empowerment and Development Division

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Ecology,Geography, Planning and Development

Reference77 articles.

1. Evaluation of traffic performance of Ahmed Urabi Square in Baghdad City;Al Azawee;Journal of Engineering,2018

2. Artificial neural network in Fibres length prediction for high precision control of cellulose refining;Almonti;MATERIALS,2019

3. Spatio-temporal clustering for non-recurrent traffic congestion detection on urban road networks;Anbaroglu;Transportation Research Part C: Emerging Technologies,2014

4. 2017 Traffic Analysis Reports for Major Cities in China;AutoNavi Traffic Big-data Team,2017

5. Measuring the power of hierarchical cluster analysis;Baker;J. Am. Stat. Assoc.,1975

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