Using metro smart card data to model location choice of after-work activities

Using metro smart card data to model location choice of after-work activities: An application to Shanghai

Wang, Y. (TU Delft Transport and Planning)
Correia, Gonçalo (TU Delft Transport and Planning)
de Romph, E. (TU Delft Transport and Planning; TNO)
Timmermans, H. J.P.(Harry) (Eindhoven University of Technology)

2017-07-01

A location choice model explains how travellers choose their trip destinations especially for those activities which are flexible in space and time. The model is usually estimated using travel survey data; however, little is known about how to use smart card data (SCD) for this purpose in a public transport network. Our study extracted trip information from SCD to model location choice of after-work activities. We newly defined the metrics of travel impedance in this case. Moreover, since socio-demographic information is missing in such anonymous data, we used observable proxy indicators, including commuting distance and the characteristics of one's home and workplace stations, to capture some interpersonal heterogeneity. Such heterogeneity is expected to distinguish the population and better explain the difference of their location choice behaviour. The approach was applied to metro travellers in the city of Shanghai, China. As a result, the model performs well in explaining the choices. Our new metrics of travel impedance to access an after-work activity result in a better model fit than the existing metrics and add additional interpretability to the results. Moreover, the proxy variables distinguishing the population seem to influence the choice behaviour and thus improve the model performance.

demand forecast
discrete choice model
location choice modelling
Public transport
smart card data
transport planning

http://resolver.tudelft.nl/uuid:aa05fea5-1704-49d9-9b0e-84c716fd8e5f

https://doi.org/10.1016/j.jtrangeo.2017.06.010

2019-08-01

0966-6923

Journal of Transport Geography, 63, 40-47

Institutional Repository

journal article

© 2017 Y. Wang, Gonçalo Correia , E. de Romph, H. J.P.(Harry) Timmermans