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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
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| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/11/12/2295 |
| _version_ | 1797456756981366784 |
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| author | Zhikang Bao Yifu Ou Shuangzhou Chen Ting Wang |
| author_facet | Zhikang Bao Yifu Ou Shuangzhou Chen Ting Wang |
| author_sort | Zhikang Bao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T16:12:25Z |
| format | Article |
| id | doaj.art-d7fe9f0149f64439bbf4cc654665c399 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T16:12:25Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-d7fe9f0149f64439bbf4cc654665c3992023-11-24T16:08:45ZengMDPI AGLand2073-445X2022-12-011112229510.3390/land11122295Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese CityZhikang Bao0Yifu Ou1Shuangzhou Chen2Ting Wang3Department of Architecture and Civil Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, ChinaDepartment of Urban Planning and Design, The University of Hong Kong, Hong Kong, ChinaSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, ChinaDivision of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong, ChinaTraffic 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.https://www.mdpi.com/2073-445X/11/12/2295smaller urban areasbuilt environmentland usetraffic congestionspatial–temporal pattern |
| spellingShingle | Zhikang Bao Yifu Ou Shuangzhou Chen Ting Wang Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City Land smaller urban areas built environment land use traffic congestion spatial–temporal pattern |
| title | Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City |
| title_full | Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City |
| title_fullStr | Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City |
| title_full_unstemmed | Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City |
| title_short | Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City |
| title_sort | land use impacts on traffic congestion patterns a tale of a northwestern chinese city |
| topic | smaller urban areas built environment land use traffic congestion spatial–temporal pattern |
| url | https://www.mdpi.com/2073-445X/11/12/2295 |
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