IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6566-d826097.html
   My bibliography  Save this article

School Surrounding Region Traffic Commuting Analysis Based on Simulation

Author

Listed:
  • Huasheng Liu

    (College of Transportation, Jilin University, Changchun 130022, China)

  • Haoran Deng

    (College of Engineering, Tibet University, Lhasa 850011, China)

  • Yu Li

    (College of Transportation, Jilin University, Changchun 130022, China)

  • Yuqi Zhao

    (College of Transportation, Jilin University, Changchun 130022, China)

  • Xiaowen Li

    (College of Transportation, Jilin University, Changchun 130022, China)

Abstract

Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools’ surrounding regions to analyze traffic status. Specifically, the model focuses on urban construction and transportation near the entrance of schools and neighborhoods. In addition, four variable parameters consisting of the directional hourly volume, the parking demand of delivery vehicles, the distance between the school and intersection, and the average parking time for pick-up vehicles are set as influence factors, while traffic efficiency, energy consumption, and pollutant emissions are considered as the evaluation criteria of our model. Extensive simulated experiments show that comparing different scenarios, the traffic state of schools’ surrounding areas can achieve much better performance when the distance between entrances and intersections is 400 m under the 1000 pcu/h condition. This research can provide a scientific basis for school regional traffic management and organization optimization.

Suggested Citation

  • Huasheng Liu & Haoran Deng & Yu Li & Yuqi Zhao & Xiaowen Li, 2022. "School Surrounding Region Traffic Commuting Analysis Based on Simulation," IJERPH, MDPI, vol. 19(11), pages 1-25, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6566-:d:826097
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6566/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/11/6566/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dawei Mei & Chunliang Xiu & Xinghua Feng & Ye Wei, 2019. "Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    Full references (including those not matched with items on IDEAS)

    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. Pizzol, Bruna & Giannotti, Mariana & Tomasiello, Diego Bogado, 2021. "Qualifying accessibility to education to investigate spatial equity," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Qiya Huang & Xijuan Cui & Libang Ma, 2023. "The Equity of Basic Educational Facilities from the Perspective of Space," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    3. Guoqiang Shen & Zhangye Wang & Long Zhou & Yu Liu & Xiaoyi Yan, 2020. "Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
    4. Cong Liao & Teqi Dai, 2022. "Is “Attending Nearby School” Near? An Analysis of Travel-to-School Distances of Primary Students in Beijing Using Smart Card Data," Sustainability, MDPI, vol. 14(7), pages 1-12, April.

    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:jijerp:v:19:y:2022:i:11:p:6566-:d:826097. 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.