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Sustainability 2018, 10(9), 3187; https://doi.org/10.3390/su10093187

Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data

1
MOE Key Laboratory Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
2
College of Metropolitan Transportation, Beijing University of Technology, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Received: 3 August 2018 / Revised: 29 August 2018 / Accepted: 3 September 2018 / Published: 6 September 2018
(This article belongs to the Section Sustainable Transportation)
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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. View Full-Text
Keywords: taxi accessibility; taxi GPS data; cumulative opportunity measure; grid-based method; point of interest taxi accessibility; taxi GPS data; cumulative opportunity measure; grid-based method; point of interest
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Jiang, S.; Guan, W.; He, Z.; Yang, L. Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data. Sustainability 2018, 10, 3187.

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