IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i12p2295-d1003325.html
   My bibliography  Save this article

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

Author

Listed:
  • Zhikang Bao

    (Department of Architecture and Civil Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, China)

  • Yifu Ou

    (Department of Urban Planning and Design, The University of Hong Kong, Hong Kong, China)

  • Shuangzhou Chen

    (School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China)

  • Ting Wang

    (Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong, China)

Abstract

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.

Suggested Citation

  • Zhikang Bao & Yifu Ou & Shuangzhou Chen & Ting Wang, 2022. "Land Use Impacts on Traffic Congestion Patterns: A Tale of a Northwestern Chinese City," Land, MDPI, vol. 11(12), pages 1-17, December.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2295-:d:1003325
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/12/2295/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/12/2295/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Weizeng & Guo, Dongmei & Li, Qiang & Fang, Haidong, 2021. "School runs and urban traffic congestion: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    2. Changzhi Bian & Changwei Yuan & Wenbo Kuang & Dayong Wu, 2016. "Evaluation, Classification, and Influential Factors Analysis of Traffic Congestion in Chinese Cities Using the Online Map Data," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, September.
    3. Spears, Steven & Houston, Douglas & Boarnet, Marlon G., 2013. "Illuminating the unseen in transit use: A framework for examining the effect of attitudes and perceptions on travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 40-53.
    4. Rodríguez-Pose, Andrés & Frick, Susanne, 2017. "Big or small cities? On city size and economic growth," CEPR Discussion Papers 12324, C.E.P.R. Discussion Papers.
    5. Daniel J. Zawack & Gerald L. Thompson, 1987. "A Dynamic Space-Time Network Flow Model for City Traffic Congestion," Transportation Science, INFORMS, vol. 21(3), pages 153-162, August.
    6. Luis Martínez & José Viegas & Elisabete Silva, 2009. "A traffic analysis zone definition: a new methodology and algorithm," Transportation, Springer, vol. 36(5), pages 581-599, September.
    7. Peng, Ying & Tian, Chuanhao & Wen, Haizhen, 2021. "How does school district adjustment affect housing prices: An empirical investigation from Hangzhou, China," China Economic Review, Elsevier, vol. 69(C).
    8. Chang, Yu Sang & Lee, Yong Joo & Choi, Sung Sup Brian, 2017. "Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers-," Transport Policy, Elsevier, vol. 59(C), pages 54-63.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoquan Wang & Weifeng Wang & Chaoying Yin, 2023. "Exploring the Relationships between Multilevel Built Environments and Commute Durations in Dual-Earner Households: Does Gender Matter?," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    2. Giuseppe Cantisani & Maria Vittoria Corazza & Paola Di Mascio & Laura Moretti, 2023. "Eight Traffic Calming “Easy Pieces” to Shape the Everyday Pedestrian Realm," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    3. Chengzhen Song & Qingfang Liu & Jinping Song & Ding Yang & Zhengyun Jiang & Wei Ma & Fuchang Niu & Jinmeng Song, 2023. "The Interactive Relationship between Street Centrality and Land Use Intensity—A Case Study of Jinan, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrés Rodríguez-Pose & Michael Storper, 2020. "Housing, urban growth and inequalities: The limits to deregulation and upzoning in reducing economic and spatial inequality," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 223-248, February.
    2. Roberto Ganau & Andrés Rodríguez-Pose, 2022. "Does urban concentration matter for changes in country economic performance?," Urban Studies, Urban Studies Journal Limited, vol. 59(6), pages 1275-1299, May.
    3. Jin, Peizhen & Mangla, Sachin Kumar & Song, Malin, 2021. "Moving towards a sustainable and innovative city: Internal urban traffic accessibility and high-level innovation based on platform monitoring data," International Journal of Production Economics, Elsevier, vol. 235(C).
    4. Eric T. H. Chan & Tim Schwanen & David Banister, 2021. "The role of perceived environment, neighbourhood characteristics, and attitudes in walking behaviour: evidence from a rapidly developing city in China," Transportation, Springer, vol. 48(1), pages 431-454, February.
    5. Steven Spears & Marlon G Boarnet & Douglas Houston, 2017. "Driving reduction after the introduction of light rail transit: Evidence from an experimental-control group evaluation of the Los Angeles Expo Line," Urban Studies, Urban Studies Journal Limited, vol. 54(12), pages 2780-2799, September.
    6. Jorge Díaz-Lanchas & Peter Mulder, 2021. "Does decentralization of governance promote urban diversity? Evidence from Spain," Regional Studies, Taylor & Francis Journals, vol. 55(6), pages 1111-1128, June.
    7. Ghadiri, Mehdi & Rassafi, Amir Abbas & Mirbaha, Babak, 2019. "The effects of traffic zoning with regular geometric shapes on the precision of trip production models," Journal of Transport Geography, Elsevier, vol. 78(C), pages 150-159.
    8. Kostas Rontos & Barbara Ermini & Luca Salvati, 2023. "Enlarging the divide? Per-Capita Income as a measure of social inequalities in a southern European City," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 345-361, February.
    9. Shahabi, Cyrus & Kim, Seon Ho, 2023. "Evaluating Accessibility of Los Angeles Metropolitan Area Using Data-Driven Time-Dependent Reachability Analysis," Institute of Transportation Studies, Working Paper Series qt7pm429tk, Institute of Transportation Studies, UC Davis.
    10. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    11. Seyed Peyman Asadi & Ahmad Jafari Samimi, 2019. "Lagging-behind Areas as a Challenge to the Regional Development Strategy: What Insights can New and Evolutionary Economic Geography Offer?," Papers in Evolutionary Economic Geography (PEEG) 1923, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2019.
    12. Menon, Aditya Krishna & Cai, Chen & Wang, Weihong & Wen, Tao & Chen, Fang, 2015. "Fine-grained OD estimation with automated zoning and sparsity regularisation," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 150-172.
    13. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    14. Mark He & Joseph Glasser & Nathaniel Pritchard & Shankar Bhamidi & Nikhil Kaza, 2020. "Demarcating geographic regions using community detection in commuting networks with significant self-loops," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-31, April.
    15. Huang, Hai-Jun & Xu, Gang, 1998. "Aggregate scheduling and network solving of multi-stage and multi-item manufacturing systems," European Journal of Operational Research, Elsevier, vol. 105(1), pages 52-65, February.
    16. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
    17. Xiao Tian & Jin Liu & Yong Liu, 2022. "How Does the Quality of Junior High Schools Affect Housing Prices? A Quasi-Natural Experiment Based on the Admission Reform in Chengdu, China," Land, MDPI, vol. 11(9), pages 1-18, September.
    18. Moran, Marcel E, 2022. "Are shelters in place? Mapping the distribution of transit amenities via a bus-stop census of San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3gj1t495, Institute of Transportation Studies, UC Berkeley.
    19. María J. Alonso-González & Oded Cats & Niels van Oort & Sascha Hoogendoorn-Lanser & Serge Hoogendoorn, 2021. "What are the determinants of the willingness to share rides in pooled on-demand services?," Transportation, Springer, vol. 48(4), pages 1733-1765, August.
    20. Yang, Hai & Meng, Qiang, 1998. "Departure time, route choice and congestion toll in a queuing network with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 247-260, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:12:p:2295-:d:1003325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.