Microsimulation system for predicting leisure activity-travel patterns

被引:0
|
作者
van Middelkoop, M [1 ]
Borgers, A [1 ]
Timmermans, H [1 ]
机构
[1] Eindhoven Univ Technol, Urban Planning Grp, NL-5600 MB Eindhoven, Netherlands
来源
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Development of a model of annual activity-travel patterns of leisure and vacation travel is reported. The simulation system, called Merlin, is a hybrid model system consisting of discrete choice models and rule-based models. It predicts the annual number of day trips and vacations, and the profile of such trips and vacations, including duration, travel party, timing, destination, type of accommodation, transport mode, day of departure, and expenditures. Separate models are derived for each of these facets. Microsimulation is used to predict aggregate patterns. The model's performance is satisfactory.
引用
收藏
页码:20 / 27
页数:8
相关论文
共 50 条
  • [41] Allocating time and location information to activity-travel patterns through reinforcement learning
    Janssens, Davy
    Lan, Yu
    Wets, Geert
    Chen, Guoqing
    KNOWLEDGE-BASED SYSTEMS, 2007, 20 (05) : 466 - 477
  • [42] Effects of task complexity and time pressure on activity-travel choices: heteroscedastic logit model and activity-travel simulator experiment
    Chao Chen
    Caspar Chorus
    Eric Molin
    Bert van Wee
    Transportation, 2016, 43 : 455 - 472
  • [43] Measuring and Estimating Suppressed Travel with Enhanced Activity-Travel Diaries
    Bellemans, Tom
    van Bladel, Kelly
    Janssens, Davy
    Wets, Geert
    Timmermans, Harry J. P.
    TRANSPORTATION RESEARCH RECORD, 2009, (2105) : 57 - 63
  • [44] Measurement of pedestrian exposure to the potential dangers of daily activity-travel patterns in the region of Montreal
    Thouez, JP
    Gangbè, M
    Bergeron, J
    Bussière, Y
    Rannou, A
    Bourbeau, R
    URBAN TRANSPORT XI: URBAN TRANSPORT AND THE ENVIRONMENT IN THE 21ST CENTURY, 2005, : 249 - 255
  • [45] Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis
    Rafiq, Rezwana
    McNally, Michael G.
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2021, 152 : 1 - 18
  • [46] Day-to-day variability in travellers' activity-travel patterns in the Jakarta metropolitan area
    Dharmowijoyo, Dimas B. E.
    Susilo, Yusak O.
    Karlstrom, Anders
    TRANSPORTATION, 2016, 43 (04) : 601 - 621
  • [47] Discrepancy Analysis of Activity Sequences What Explains the Complexity of People's Daily Activity-Travel Patterns?
    Kim, Kihong
    TRANSPORTATION RESEARCH RECORD, 2014, (2413) : 24 - 33
  • [48] Urban form and household activity-travel behavior
    Buliung, Ron N.
    Kanaroglou, Pavlos S.
    GROWTH AND CHANGE, 2006, 37 (02) : 172 - 199
  • [49] Incorporating activity-travel time uncertainty and stochastic space-time prisms in multistate supernetworks for activity-travel scheduling
    Liao, Feixiong
    Rasouli, Soora
    Timmermans, Harry
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2014, 28 (05) : 928 - 945
  • [50] Special issue on activity-travel decision processes
    Doherty, Sean
    Ettema, Dick
    TRANSPORTATION, 2006, 33 (05) : 423 - 427