Analysis on Factors Associated with Shopping Transport Mode Choice and Change: A Study in Two Cities in China—Shanghai and Shenzhen

New attention has been devoted to encourage public transport and non-motorized trips in rapidly motorized and urbanized China. Unlike commuter mode choice behavior, non-commuter mode choice needs more research on the impact of individual attitude factors, which represent individual characteristics in the progress of decision making, as complements of socio-demographic factors. This study aims to identify factors influencing shopping transport mode choice and the intention of changes in choice behavior. A convenience data survey in Shanghai and Shenzhen was designed and data were collected from 1493 visitors of IKEA stores. Socio-demographic and trip-relative information allows consideration of factors that influence mode choice. Two binary logit models and a nested logit model are established to research whether and to which extent visitors' individual socio-demographic factors, trip-relative factors and individual attitude factors influence transport mode choice. The regression results of binary models show strong effects of individual attitudes and trip-relative factors on the intention of changing transport mode choice. The nested logit model suggests that travel distance to the IKEA store and home delivery are significant deterrents to use of non-motorized and public transport.