Estimation of Public Transport Users Migration Using Passive Data

In most cities, public transport users are far from consistent in their use of the service over time. With time, many people leave the system or change their level of use. In this paper, passive data from two public transport systems are used to analyze the migration of passengers to other modes and their changes in the level of public transport usage. In both cases, the authors use large datasets obtained from smart card data to develop an ordered logistic model that identifies the attributes of the system that play an important role in explaining the level of usage of the system. Three categories of level of usage are defined and used as the dependent variable. Migration (leaving the system) is added to try to explain the phenomenon. Meaningful results are found for the Santiago, Chile case, and compared with the results found for Gatineau, Quebec, Canada. Factors like the frequency of use, the age in the system, and travel time influence the migration rate.

Supplemental Notes:
- This paper was sponsored by TRB committee AP000 Public Transportation Group.
Authors:
- Leng, Camilo
- Munizaga, Marcela A
- Trépanier, Martin
Conference:
- Transportation Research Board 97th Annual Meeting
- Location: Washington DC, United States
- Date: 2018-1-7 to 2018-1-11
Date: 2018

Language

English

Media Info

Media Type: Digital/other
Features: Figures; References; Tables;
Pagination: 15p

Subject/Index Terms

TRT Terms: Automatic data collection systems; Choice models; Cluster analysis; Customer satisfaction; Estimating; Migration; Mobility; Mode choice; Public transit; Quality of service; Ridership; Smart cards; Socioeconomic factors
Geographic Terms: Gatineau (Canada); Santiago (Chile)
Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

Accession Number: 01659982
Record Type: Publication
Report/Paper Numbers: 18-05227
Files: TRIS, TRB, ATRI
Created Date: Feb 13 2018 9:53AM