Quantifying the competitiveness of transit relative to taxi with multifaceted data
Document Type
Journal Article
Publication Date
2022
Subject Area
place - asia, place - urban, mode - bus, mode - rail, mode - taxi, economics - value of time
Keywords
Transit, competitiveness, generalized cost, hyperpath, value of time
Abstract
This paper proposes an assessment framework to quantify the competitiveness of transit relative to a taxi-like service. The framework centers on a transit route builder, which searches, using a hyperpath-based algorithm, for the best available transit route that matches the origin and the destination of a given taxi trip. Based on the optimal transit route, we then measure the relative competitiveness of the transit service according to the preference of a rational traveler, which is determined by the generalized cost defined by fare, in-vehicle travel time and other service attributes. The framework is evaluated using a case study constructed with multifaceted data sources collected in Shenzhen, China. The results show that, while 90% of all taxi trips are faster than its best alternative transit option, only about 36% is shorter. Also, the relative competitiveness of transit decreases with the passenger's value of time, and increases with the average trip distance. We also find that the preference of the middle-income passengers for transit is the most sensitive to the changes in trip distance, mode (bus or rail) and fare.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Xu, Z., Xie, J., Liu, X., & Nie, Y. (2022). Quantifying the competitiveness of transit relative to taxi with multifaceted data. Transportmetrica A: Transport Science, Vol. 18(2), pp. 324-343.
