454 / 2019-02-27 22:48:57

Daily Activity-Pattern Recognition Model: A Case Study of Wuhan, China

activity pattern approach; travel demand; case study

全体主题 > Land-use & Transportation modeling

To begin with, we will focus on the need for the daily activity pattern recognition model. Most existing activity-based travel demand models are implemented in a tour-based microsimulation framework. the complex relationship between travel behaviour long-term and short-term individual/household decisions level. We developed a model to studies the relationship daily activity pattern, travel destination, mode choice, income, and occupation type and residential zone choice urban or rural using Wuhan travel survey 2008 data in a GIS environment. the result of the Visualizing spatiotemporal activity pattern of individuals gives a direct view of the differences in the time-space distribution of activities according to the individual’s employment status. The corresponding descriptive statistics also show significant heterogeneity among different employment groups in terms of their activity patterns. Household interactions among household members can also be observed directly from the time-space paths of different household members. For the county with the highest population density, the travel diary data captures higher trip production rates than the low population density, also the observation in urban areas people and households in those areas have very different activity patterns and travel behaviour’s than those from the rural areas, due to their differences in household distributions, land use patterns and transportation infrastructure in place.