01626364

Component

https://doi.org/10.3141/2652-12

A model of modal choice and destination choice was developed to simulate urban travel demand in Davao City, Philippines, and to evaluate fare-setting scenarios relevant to the possible introduction of a new public transportation (PT) system. This nested logit model, combining modal choice and destination choice, was estimated with local person trip survey data collected in 2015 that included data points on 3,531 households, 7,639 individuals, and 15,372 trips. Then, six fare scenarios were developed, incorporating four elements of the fare system, boarding charge, per-kilometer charge, charge distance, and transfer charge, based on the fare system in use in the Philippines. Five evaluation indexes were then applied: average individual benefit, new PT operator’s profit, social surplus, modal share of PT, and regional equity with respect to accessibility. The results demonstrated that (a) a lower fare increases an individual’s benefit from the trip, (b) a new PT operator’s profit assumes positive values in a wide range of fare scenarios, (c) a lower fare improves net social surplus, (d) a lower fare leads to higher modal share of PT, and (e) a higher fare tends to compromise the regional equity of accessibility. These results also suggest that from the viewpoint of enhancing social surplus, increasing the boarding charge is a preferable strategy at a higher fare level, whereas the mitigation of the per-kilometer charge is a preferable strategy at a lower fare level.

01628042

17-03016

English

pp 106–115

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441933

Digital/other

Figures (2) ; References (23) ; Tables (6)

Equity; Fare collection; Fares; Mode choice; Urban transit

Davao City (Philippines)

Finance; Planning and Forecasting; Public Transportation; Society

TRIS, TRB, ATRI

Dec 8 2016 11:08AM

• Applications of Inferred Origins, Destinations, and Interchanges in Bus Service Planning
• Constructing Transit Origin–Destination Matrices with Spatial Clustering
• Estimating Fare Noninteraction and Evasion with Disaggregate Fare Transaction Data
• Estimation of Platform Waiting Time Distribution Considering Service Reliability Based on Smart Card Data and Performance Reports
• Exploratory Method for Practitioners Analyzing the Impact of Integrated Fare Structures in Decentralized Metropolitan Regions: A Toronto Region Case Study
• Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data: Dynamic Programming Approach
• Investigating Potential Transit Ridership by Fusing Smartcard and Global System for Mobile Communications Data
• Modeling the Impact of Transit Fare Change on Passengers’ Accessibility
• Perceived Reality: Understanding the Relationship Between Customer Perceptions and Operational Characteristics
• Quantile Regression Analysis of Transit Travel Time Reliability with Automatic Vehicle Location and Farecard Data
• Statistical Inference of Transit Passenger Boarding Strategies from Farecard Data
• The Youth Pass: A Study of the Conflicts Between Ideal and Practical Research Design in a Pilot Social Program
• Transit Trip Itinerary Inference with GTFS and Smartphone Data