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Application of gravity model on the Korean urban bus network

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  • Hong, Inho
  • Jung, Woo-Sung

Abstract

Mobility models have been studied to describe the underlying mechanism of human mobility. The mobility patterns in various transportation systems were understood with the gravity model by estimating the traffic as a simple function of population and distance. Compared to most studies on large-scale systems, we focused on the validity and characteristics of gravity model for intraurban mobility. Several variations of gravity model are applied on the urban bus systems of five medium-sized cities in Korea. The gravity model successfully estimates the intraurban traffic without universal exponents for cities. From the change of exponents by predictor types, we figure out the effect by a non-trivial relation between traffic and population in the urban areas.

Suggested Citation

  • Hong, Inho & Jung, Woo-Sung, 2016. "Application of gravity model on the Korean urban bus network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 48-55.
    • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:48-55
    DOI: 10.1016/j.physa.2016.06.055
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    References listed on IDEAS

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    Cited by:

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    3. Xinyu Luan & Pengcheng Xiang & Fuyuan Jia, 2024. "The Interconnectivity and Spatio-Temporal Evolution of Rail Transit Network Based on Multi-Element Flows: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China," Land, MDPI, vol. 13(2), pages 1-30, February.
    4. Choi, Hyeseung & Woo, Hyungsoo & Kim, Ji-Hyun & Yang, Jae-Suk, 2019. "Gravity model for dyadic Olympic competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 447-455.
    5. Feng, Xiao & He, Shiwei & Li, Guangye & Chi, Jushang, 2021. "Transfer network of high-speed rail and aviation: Structure and critical components," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    6. Wenjie Li & Jialing Dai & Yi Xiao & Shengfa Yang & Chenpeng Song, 2021. "Estimating waterway freight demand at Three Gorges ship lock on Yangtze River by backpropagation neural network modeling," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 495-521, September.

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