Tour-based Travel Decision Making and Related Factors of Urban Residents
ZHAO Ying,CHAI Yanwei
Urban space has a symbiotic relationship with transportation,and activity-based approach is a powerful method to integrate three key problems of human behavior research: the colligation of time and space,the behavioral mechanism of choice and constraints, the links between activity and travel. The primary purpose of this paper was to investigate relative associations between behavioral patterns of urban residents and their socio-economic attributes and residential locations. By using a tour-based modeling framework and highly detailed activity diary data collected in Beijing,2007,this paper focuses on activity-travel behavior in workdays. A logistic regression model of multi-purpose tour in the whole day is estimated first. Then,ordered logit model ( OLM ) of travel mode motorization is developed and estimated. Empirical results indicate that travel decisions are significantly affected by demographic factors,such as employment and income. Full-time employment has more complex tours,and an increase in income would result in travel motorization. Residential location is a significant predictor of travel choice. From the downtown to the suburb,residents have the propensity to generate multi-purpose tours with more stops per tour and choose higher motorized travel modes. Especially,residents living around the fourth and fifth ring roads encounter the highest level of space-time constraints. Some alternative attributes,including activity time,travel time and travel distance,have positive influence on tour complexity and travel motorization. Motorized tours seem to generate at rush hours regularly,which results in traffic problems. This paper discusses historical contexts and institutional factors in China’s cities to interpret the results in order to provide scientific consults to public policy.