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Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data

Author

Listed:
  • Shixiong Jiang

    () (MOE Key Laboratory Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Wei Guan

    () (MOE Key Laboratory Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China)

  • Zhengbing He

    () (College of Metropolitan Transportation, Beijing University of Technology, Beijing 100044, China)

  • Liu Yang

    () (MOE Key Laboratory Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Accessibility has drawn extensive attention from city planners and transportation researchers for decades. With the benefits of large-scale and varying time, this study aims to combine the taxi global positioning system (GPS) data with a cumulative opportunity measure to calculate taxi accessibility in Beijing, China. As traffic conditions vary significantly over time and space, we select four typical time periods and introduce a grid-based method to divide the study area into grid cells. Both the GPS signals and opportunities that include the constant points of interest, total drop-offs, and dynamic drop-offs, are aggregated in these grid cells. The cumulative opportunity measure counts all reachable grid cells within the given travel time threshold, along with the corresponding opportunities. The results demonstrate that the accessibility varies in the four time periods, with better performance seen in the late-night hours. Although the spatial distributions of the three kinds of opportunities are different, these accessibilities show great similarity. In addition, the relative accessibilities of different measures are highly correlated. In general, grid cells with higher accessibilities in one time period are likely to also have higher accessibilities in other time periods. Moreover, the results suggest that taxi accessibility can be measured from its trajectory data only.

Suggested Citation

  • Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, Open Access Journal, vol. 10(9), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3187-:d:168101
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    References listed on IDEAS

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    Cited by:

    1. repec:gam:jsusta:v:11:y:2019:i:14:p:3838-:d:248246 is not listed on IDEAS

    More about this item

    Keywords

    taxi accessibility; taxi GPS data; cumulative opportunity measure; grid-based method; point of interest;

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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