Print Email Facebook Twitter Using metro smart card data to model location choice of after-work activities: An application to Shanghai Title Using metro smart card data to model location choice of after-work activities: An application to Shanghai Author Wang, Y. Correia, G.H.D.A. de Romph, E. Timmermans, H.J.P.H. Publication year 2017 Abstract 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. © 2017 Elsevier Ltd Subject 2016 Urban Mobility & EnvironmentSUMS - Sustainable Urban Mobility and SafetyELSS - Earth, Life and Social Sciencesdemand forecastdiscrete choice modellocation choice modellingPublic transportsmart card datatransport planning To reference this document use: http://resolver.tudelft.nl/uuid:f05c7c6f-9735-431f-9b93-fe03a7747086 TNO identifier 777373 ISSN 0966-6923 Source Journal of Transport Geography, 63, 40-47 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.