Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework

被引:0
|
作者
Haghighi, Mohammad [1 ]
Miller, Eric J. [1 ]
机构
[1] Univ Toronto, Dept Civil & Mineral Engn, Toronto, ON, Canada
关键词
Travel demand modelling; week-long activity-based modelling; comprehensive conceptual framework; multiday travel-activity diary datasets; literature review; ACTIVITY MOBILITY SIMULATOR; SCHEDULING TIME HORIZON; COMPLEX TRAVEL BEHAVIOR; ACTIVITY PARTICIPATION; DEMAND; TRANSPORTATION; VALIDATION; GENERATION; PROFILES; DYNAMICS;
D O I
10.1080/01441647.2024.2416652
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Activity-based travel demand models emerged mainly to fix the conceptual, statistical, and operational deficiencies of conventional trip-based models. This is done by microstimulating the activity scheduling behaviour of individuals/households instead of modelling the number of trips between the zones of an urban area. In the "Next Generation" of activity-based models (ABMs), researchers are making an effort to improve their capacity to replicate the travel-activity patterns of urban populations more realistically. Expanding the modelling time frame from a single day to an entire week is one of the essential aspects of the "Next Generation" of ABMs. Although there is still a long way to go before a comprehensive and operational week-long ABM can be developed, the literature on its different aspects, the theoretical and conceptual frameworks, and the efforts to collect multi-day travel-activity diaries are now at a stage that is worth a comprehensive and systematic review. Therefore, the current study is devoted to exploring the existing literature on multi-day activity-based modelling, categorising its elements in a systematic manner, searching for the research gaps in the existing models and proposing a comprehensive framework to fill those gaps.
引用
收藏
页码:119 / 148
页数:30
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