Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City

Traffic congestion is a contemporary urban issue plaguing transportation planners, land developers, policy-makers, and citizens. While many studies have investigated the impact of built environments on traffic behavior in large metropolises on a regional scale, little attention has been paid to smal...

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Vydané v:Land (Basel) Ročník 11; číslo 12; s. 2295
Hlavní autori: Bao, Zhikang, Ou, Yifu, Chen, Shuangzhou, Wang, Ting
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.12.2022
Predmet:
Air pollution
Behavior
Built environment
Cities
Environmental aspects
Holidays & special occasions
Hong Kong, China
Housing
Land use
Methods
Neighborhoods
Population density
Public transportation
Regional planning
Regression analysis
Residential areas
Roads & highways
smaller urban areas
Social aspects
spatial–temporal pattern
Sustainable urban development
Traffic congestion
Traffic management
Transportation planning
Urban areas
Urban environments
Urban planning
Urbanization
Hong Kong, China
Beijing China
China
ISSN:2073-445X, 2073-445X
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Popis
Shrnutí:Traffic congestion is a contemporary urban issue plaguing transportation planners, land developers, policy-makers, and citizens. While many studies have investigated the impact of built environments on traffic behavior in large metropolises on a regional scale, little attention has been paid to smaller urban areas, in China’s context, especially on a neighborhood level. This study investigates the spatial–temporal pattern of traffic congestion in a small-scale city, Xining, in China. By applying multivariate least-square regression analysis to social-sensing hyperlocal travel data, the results indicate that Xining is experiencing morning and evening traffic peaks on the weekdays and pre-weekends and only the evening peak during the weekends or holidays. The pre-weekend congestion is significantly worse than on a normal weekday, implying that stronger measures to consolidate traffic management should be implemented during this time. Educational land use and residential areas were found to contribute significantly to traffic congestion in Xining, and their combined effects tend to exacerbate the situation. The study furthers the understanding of traffic congestion in small urban areas, providing urban planners and policy-makers with new insights to formulate evidence-based strategies for mitigating traffic congestion.
Bibliografia:ObjectType-Article-1
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ISSN:2073-445X
2073-445X
DOI:10.3390/land11122295