Mode Choice of Residents in Large-Scale Residential Areas in the Periphery of Shanghai: A Case Study of Jinhexincheng, Jiading District

In order to reform old downtown and improve living conditions, poor houses in Shanghai are demolished and the government relocates the residents. Usually they are relocated in large scale residential areas in the periphery of the city. Jinhexincheng is one of them. Previous studies usually focused on travel behaviors in the developed countries. Few studies looked into mode choices and preferences in large scale residential areas in the suburbs in the developing countries. In order to fill the gap, this study analyzes three groups' (overall samples, city-center-old-house-demolition movers, and non-movers) mode choices, preferences, and predicts mode shares in different policy scenarios. It can provide a deeper understanding of this issue and support transportation planning in large Chinese cities. 320 valid samples are collected. Three groups are different in age, Hukou, apartment ownership, and years living in Shanghai. Mode-choice-multinomial-logit models are generated separately for three groups. All models show that males tend to travel by car. For overall and mover samples, for longtime residents, the less likely a person will uses a bike, motorcycle/moped, or transit. For non-mover samples it is not significant. The movers have a higher value of time (1.61 RMB/minute) compared to other groups. For travel time and cost, only the overall model has an acceptably significant travel time coefficient, this model is used to predict mode shares in 4 sets of travel-time-related-policy scenarios. Results suggest that "make bikes available to movers/all residents", "make shopping shuttle bus more efficient" and "improve transit service" are good policies and can be accepted in transportation planning.