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Impacts of urban built environment on empty taxi trips using limited geolocation data

Author

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  • Wenbo Zhang

    (Purdue University)

  • Satish V. Ukkusuri

    (Purdue University)

  • Jian John Lu

    (Tongji University)

Abstract

This study identifies the determinants of the empty taxi trip duration (ETTD) by combining three high-resolution databases—geolocation data in New York City, geodatabase of urban planning data, and transportation facilities data. Considering the nature of duration data, hazard-based duration model is proposed to explore the relationships between causal factors and ETTD, coupling with three variations of baseline hazard distribution, i.e., Weibull distribution with heterogeneity, Weibull distribution, and log-logistic. Furthermore, the likelihood ratio test is presented to implement comparisons of three baseline hazard distributions, as well as spatial and temporal transferability of causal factors. The results show significant complementary effects by subway system and competitive effects by city bus and bicycling system, as well as significant impacts of trip length, airport trip, average annual income, and employment rate. Urban built environment, for instance, density of road, public facilities, and recreational sites and ratio of green space, has various impacts on ETTD. The elasticity estimations confirm significant spatial and temporal heterogeneity in impacts on ETTD. In addition, the analysis on elasticity also reveals the considerable impacts of severe traffic congestion on ETTD within Manhattan. The modeling can assist stakeholders in understanding empty taxi movements and measuring taxi system efficiency in urban areas.

Suggested Citation

  • Wenbo Zhang & Satish V. Ukkusuri & Jian John Lu, 2017. "Impacts of urban built environment on empty taxi trips using limited geolocation data," Transportation, Springer, vol. 44(6), pages 1445-1473, November.
    • Handle: RePEc:kap:transp:v:44:y:2017:i:6:d:10.1007_s11116-016-9709-3
    DOI: 10.1007/s11116-016-9709-3
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    References listed on IDEAS

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    2. Chen, Chao & Feng, Tao & Ding, Chuan & Yu, Bin & Yao, Baozhen, 2021. "Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model," Journal of Transport Geography, Elsevier, vol. 96(C).
    3. Xing, Jiping & Wu, Wei & Cheng, Qixiu & Liu, Ronghui, 2022. "Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    4. Wenbo Zhang & Satish V. Ukkusuri & Chao Yang, 2018. "Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas," Sustainability, MDPI, vol. 10(9), pages 1-23, August.

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