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Can freeway traffic volume information facilitate urban accessibility assessment?

Author

Listed:
  • Yang, Shu
  • Liu, Xuan
  • Wu, Yao-Jan
  • Woolschlager, John
  • Coffin, Sarah L.

Abstract

In urban contexts, accessibility measures are often utilized to represent the interactions among land use, transport and people’s trips to services and other facilities. Accessibility is generally evaluated using conventional traffic measures such as travel time and distance, but traffic volume, which is a product of the travel trips induced by people’s needs, may also be positively related to accessibility. This study tests the hypothesis “can freeway traffic volume information facilitate urban accessibility assessment?” Traffic volume based accessibility models are proposed to investigate this relationship and test the hypothesis. The results indicate that the answer to this question is a qualified “yes”, as there is a statistically significant relationship between traffic volume differences and accessibility. The coefficients of the models can potentially be used as a reference to guide the urban planning process. The limitations of the proposed models can be addressed by deploying Intelligent Transportation Systems (ITS) traffic sensors on ramps and arterial roadways.

Suggested Citation

  • Yang, Shu & Liu, Xuan & Wu, Yao-Jan & Woolschlager, John & Coffin, Sarah L., 2015. "Can freeway traffic volume information facilitate urban accessibility assessment?," Journal of Transport Geography, Elsevier, vol. 44(C), pages 65-75.
    • Handle: RePEc:eee:jotrge:v:44:y:2015:i:c:p:65-75
    DOI: 10.1016/j.jtrangeo.2015.03.006
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    References listed on IDEAS

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    Cited by:

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    2. Jingming Liu & Xianhui Hou & Chuyu Xia & Xiang Kang & Yujun Zhou, 2021. "Examining the Spatial Coordination between Metrorail Accessibility and Urban Spatial Form in the Context of Big Data," Land, MDPI, vol. 10(6), pages 1-20, May.
    3. Xu, Wangtu (Ato) & Li, Yongling & Wang, Hui, 2016. "Transit accessibility for commuters considering the demand elasticities of distance and transfer," Journal of Transport Geography, Elsevier, vol. 56(C), pages 138-156.
    4. Xu, Mengya & Xin, Jing & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2017. "Social inequalities of park accessibility in Shenzhen, China: The role of park quality, transport modes, and hierarchical socioeconomic characteristics," Journal of Transport Geography, Elsevier, vol. 62(C), pages 38-50.
    5. Jinguang Zhang & Yingyi Cheng & Wei Wei & Bing Zhao, 2019. "Evaluating Spatial Disparity of Access to Public Parks in Gated and Open Communities with an Improved G2SFCA Model," Sustainability, MDPI, vol. 11(21), pages 1-19, October.

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