TY - GEN
T1 - Daily time allocation behavior analysis in xiaoshan district of Hangzhou, China
AU - Shi, Cheng
AU - Pan, Haixiao
AU - Hui, Ying
AU - Ye, Xin
N1 - Publisher Copyright:
© 2017 ASCE.
PY - 2018
Y1 - 2018
N2 - In this paper, the multiple discrete-continuous extreme value (MDCEV) modeling framework is employed to model daily time allocation behavior in Xiaoshan District in the City of Hangzhou, China. The data for model development are collected from a household survey recently conducted in its urban area based on an advanced survey system using portable tablet computer with web-based map service. The models are developed to identify the constraint from mandatory work schedules. In the worker model, it is found that the total work time, work schedule, commuting time, commuting travel mode significantly affect daily time allocations on other non-mandatory activities. Other impact factors include worker's age, gender, education level, household income, and population density of residential area. In the non-worker model, influential factors include non-workers' age, gender, household size, household income, permanent residency, and population density of residential area. It is found that shifting the work schedule one hour earlier from 8:00 - 17:00 to 7:00 - 16:00 will allow workers to allocate extra about 40 minutes on out-of-home activities but cut the same amount of time on in-home activities. Lengthening (or shortening) daily work time by 1 hour will cut (or add) about 45 minutes on in-home activities and about 15 minutes on out-of-home activities.
AB - In this paper, the multiple discrete-continuous extreme value (MDCEV) modeling framework is employed to model daily time allocation behavior in Xiaoshan District in the City of Hangzhou, China. The data for model development are collected from a household survey recently conducted in its urban area based on an advanced survey system using portable tablet computer with web-based map service. The models are developed to identify the constraint from mandatory work schedules. In the worker model, it is found that the total work time, work schedule, commuting time, commuting travel mode significantly affect daily time allocations on other non-mandatory activities. Other impact factors include worker's age, gender, education level, household income, and population density of residential area. In the non-worker model, influential factors include non-workers' age, gender, household size, household income, permanent residency, and population density of residential area. It is found that shifting the work schedule one hour earlier from 8:00 - 17:00 to 7:00 - 16:00 will allow workers to allocate extra about 40 minutes on out-of-home activities but cut the same amount of time on in-home activities. Lengthening (or shortening) daily work time by 1 hour will cut (or add) about 45 minutes on in-home activities and about 15 minutes on out-of-home activities.
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U2 - 10.1061/9780784480915.016
DO - 10.1061/9780784480915.016
M3 - Conference contribution
AN - SCOPUS:85044146367
T3 - CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals
SP - 152
EP - 167
BT - CICTP 2017
A2 - Wang, Haizhong
A2 - Sun, Jian
A2 - Lu, Jian
A2 - Zhang, Lei
A2 - Zhang, Yu
A2 - Fang, ShouEn
PB - American Society of Civil Engineers (ASCE)
T2 - 17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017
Y2 - 7 July 2017 through 9 July 2017
ER -