Activity-based Mode Choice Model Of Residential Shopping Trip

Shopping as one of essential activities demand in people’s life, the shopping trip plays an important role in residents’trips. Due to the shopping has a high relevance and concomitant with other activities in activity chain, the activity destinations and its’travel choices are relatively flexible, and travel characteristics are complex. The shopping trip has brought an important effect to urban traffic, which could not be ignored, especially in the rush of travel and holidays. Therefore, it is necessary to analyze and predict the shopping trip characteristics and travel mode choice, in conclusion, we can provide reference for traffic demand forecasting and traffic management, offer solutions to traffic jams effectively.Based on this, this paper makes use of activity-based approach to put emphasis on the characteristics of residents’shopping trip, applies RP and SP survey to obtain the information related residents shopping trip, and uses statistical analysis and the theory of the activity-based model to construct a discrete choice model of residents’shopping travel mode. Finally, this article analyzes the influence factors of residents’shopping travel mode choice through the model calibration results.The paper mainly consists of the following parts:Firstly, the article puts forward the research background, reviews the relevant research progress and results from home and abroad. Based on this, the paper makes sure the contents, method, and the structure arrangement.Secondly, this paper illustrates the basic principles of activity-based approach in detail, including selection and constraint of activity, the theories of activity chain, activity modes. And the paper also gives an overview of the activity-based model. In addition, the paper analyzes the residents travel characteristics.Once again, according to residents’shopping behavior, the paper analyses shopping trip characteristics and the factors influencing shopping trip strategy in detail, from the personal and family factor attribute and information aspects analyzes the residents’shopping decision-making process. Then the paper also conducts a questionnaire concerning about the shopping travel behavior’ RP/SP, and analyzes the survey results in detail.Finally, the paper constructs the model of residents’ shopping travel mode choice, calibrates and inspects the model using the survey data. And according to the calibration results, the paper analyzes the major factors influencing residents’shopping travel mode choice from age, income, and the influence of information on shopping travel choice.