Estimating the residence zone of frequent public transport users to make travel pattern and time use analysis

Margarita Amaya, Ramón Cruzat and Marcela A. Munizaga

Journal of Transport Geography, 2018, vol. 66, issue C, 330-339

Abstract: Public transport systems with electronic fare collection devices continuously store data related to trips taken by users, which contain valuable information for planning and policy analysis. However, if the card is not personalized, there is no socioeconomic information available, which imposes a limitation on the types of analysis that can be performed. This work presents a simple method to estimate the residence zone of card users, which will allow socioeconomic variables to be estimated, thereby enriching the analytical possibilities. The method, which is based on the observation of morning transactions of frequent users, is applied to a sample of over 2 million cards. The method is evaluated using a sample from the Santiago ODS where users declared their card id and also declared their home address. A sample of 888,970 cards that are observed at least three days in a week and show spatial regularity for the morning transaction is used for zone of residence estimation and analysis of travel patterns and time use. The results show that users who live in the city center or in the wealthier East zone experience lower travel time, spend more time at home and less time at work.

Keywords: Smartcard; Public transport; Zone of residence; Travel time; Time use (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0966692317302764

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:66:y:2018:i:c:p:330-339

DOI: 10.1016/j.jtrangeo.2017.10.017

Access Statistics for this article

Journal of Transport Geography is currently edited by Frank Witlox

More articles in Journal of Transport Geography from Elsevier
Bibliographic data for series maintained by Catherine Liu ().