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Modeling Activity-Travel Behavior of Urban Low-Income Residents
This paper mainly focuses on the characteristics of urban low-income residents' travel activities. Data is obtained from a residents' travel survey of Nanjing City (2009) and a specific travel survey of low-income residents in the urban fringe of Nanjing City (2010). Information of each individual's activity participation and trip chains is extracted from the daily travel diary and matched with attributes of the individual and family. Then, two structural equation models are applied to analyze the relationship among individuals' socio-demographics, activity duration, and trip chains of low-income residents and non-low-income residents. 13 socio-demographics attributes are chosen as the exogenous variables, while 8 indices of activity duration and trip chains are selected as the endogenous variables. The result shows that the number of children, age, gender, and educational level of an individual significantly affect the travel behavior of low-income residents. Also, activity participation has greater effects on trip-chaining behaviors of low-income residents than that of non-low-income residents.
Modeling Activity-Travel Behavior of Urban Low-Income Residents
This paper mainly focuses on the characteristics of urban low-income residents' travel activities. Data is obtained from a residents' travel survey of Nanjing City (2009) and a specific travel survey of low-income residents in the urban fringe of Nanjing City (2010). Information of each individual's activity participation and trip chains is extracted from the daily travel diary and matched with attributes of the individual and family. Then, two structural equation models are applied to analyze the relationship among individuals' socio-demographics, activity duration, and trip chains of low-income residents and non-low-income residents. 13 socio-demographics attributes are chosen as the exogenous variables, while 8 indices of activity duration and trip chains are selected as the endogenous variables. The result shows that the number of children, age, gender, and educational level of an individual significantly affect the travel behavior of low-income residents. Also, activity participation has greater effects on trip-chaining behaviors of low-income residents than that of non-low-income residents.
Modeling Activity-Travel Behavior of Urban Low-Income Residents
Chen, Hui (author) / Chen, Xuewu (author) / Chu, Zhaoming (author) / Yang, Min (author)
The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China
CICTP 2012 ; 71-82
2012-07-23
Conference paper
Electronic Resource
English
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