On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago

For transportation system analysis in a new space dimension with respect to individual trips’ remaining distances, vehicle trips demand has two main components: the departure time and the trip distance. In particular, the trip distance distribution (TDD) is a direct input to the bathtub model in the new space dimension, and is a very important variable to consider in many applications, such as the development of distance-based congestion pricing strategies or mileage tax. For a good understanding of the demand pattern, both the distribution of trip initiation and trip distance should be calibrated from real data. In this paper, it is assumed that the demand pattern can be described by the joint distribution of trip distance and departure time. In other words, TDD is assumed to be time-dependent, and a calibration and validation methodology of the joint probability is proposed, based on log-likelihood maximization and the Kolmogorov–Smirnov test. The calibration method is applied to empirical for-hire vehicle trips in Chicago, and it is concluded that TDD varies more within a day than across weekdays. The hypothesis that TDD follows a negative exponential, log-normal, or Gamma distribution is rejected. However, the best fit is systematically observed for the time-dependent log-normal probability density function. In the future, other trip distributions should be considered and also non-parametric probability density estimation should be explored for a better understanding of the demand pattern.

• Record URL:
  https://doi.org/10.1177/03611981211021552
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • Irene Martínez https://orcid.org/0000-0002-3052-4791 © National Academy of Sciences: Transportation Research Board 2021.
• Authors:
  • Martínez, Irene
  • 0000-0002-3052-4791
  • Jin, Wen-Long
  • 0000-0002-5413-8377
• Publication Date: 2021-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 915-934
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2675
  • Issue Number: 11
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Departure time; Distributions (Statistics); For hire carriers; Probability density functions; Time dependence; Travel demand; Trip length
• Identifier Terms: Kolmogorov-Smirnov test
• Geographic Terms: Chicago (Illinois)
• Subject Areas: Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01778910
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Aug 10 2021 5:24PM