Activity-based Modeling for Temporal City Planning and Case Study of Shanghai Lujiazui
Revealing the decision-making mechanism behind residents'spatiotemporal activities,as well as predicting their choices within urban environments under various policy scenarios,play a crucial role in achieving the goal of people-oriented development,implementing time-based planning policies,and accelerating the development of smart cities in the digital age.In the context of temporal city planning,this paper clarifies the significance of choice modeling in spatio-temporal behavior research,proposes a theoretical framework of'Time-Space-Decision-Activity',and summarizes the methodology of spatiotemporal activity-based choice modeling in terms of basic elements,conditional assumptions,and estimation algorithms.Taking Shanghai Lujiazui as a study case,we explore a practical path encompassing'data collection,model formulation,preference analysis,policy making,and behavior simulation'.Moreover,this paper concludes that temporal city planning should get a deeper understanding of the decision-making mechanism to coordinate the relationship between individual time and urban time,between spatial planning and temporal planning,and between adaptive planning and directive planning.
Temporal City PlanningActivity-based ModelingSpatio-Temporal BehaviorPlanning on Commuting TimingShanghai Lujiazui
NETL
NSTL
万方数据
