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
  • [31] Activity-travel patterns of nonworkers in the San Francisco Bay Area - Exploratory analysis
    Misra, R
    Bhat, C
    ACTIVITY PATTERN ANALYSIS AND EXPLORATION: TRAVEL BEHAVIOR ANALYSIS AND MODELING: PLANNING AND ADMINISTRATION, 2000, (1718): : 43 - 51
  • [32] Dynamic User Equilibrium Model for Combined Activity-Travel Choices Using Activity-Travel Supernetwork Representation
    Gitakrishnan Ramadurai
    Satish Ukkusuri
    Networks and Spatial Economics, 2010, 10 : 273 - 292
  • [33] Dynamic User Equilibrium Model for Combined Activity-Travel Choices Using Activity-Travel Supernetwork Representation
    Ramadurai, Gitakrishnan
    Ukkusuri, Satish
    NETWORKS & SPATIAL ECONOMICS, 2010, 10 (02): : 273 - 292
  • [34] Agent-based modeling of cognitive learning of dynamic activity-travel patterns
    Cenani, Sehnaz
    Arentze, Theo A.
    Timmermans, Harry J. P.
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2013, 5 (04): : 184 - 200
  • [35] MODELLING DYNAMICS OF ACTIVITY-TRAVEL BEHAVIOR
    Arentze, Theo A.
    Timmermans, Harry J. P.
    TRANSPORTATION SYSTEMS: ENGINEERING & MANAGEMENT, 2007, : 17 - 26
  • [36] Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis
    Zhang, Wenjia
    Ji, Chunhan
    Yu, Hao
    Zhao, Yi
    Chai, Yanwei
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (03)
  • [37] Connotative meaning of travel modes and activity-travel behavior
    Ruiz, Tomas
    Arroyo, Rosa
    Casquero, Daniel
    Serna, Ainhoa
    Mars, Lidon
    XIII CONFERENCE ON TRANSPORT ENGINEERING, CIT2018, 2018, 33 : 379 - 385
  • [38] Patricia - Predicting activity-travel interdependencies with a suite of choice-based, interlinked analyses
    Borgers, A
    Timmermans, H
    van der Waerden, P
    TRAVELER BEHAVIOR AND VALUES 2002: PLANNING AND ADMINISTRATION, 2002, (1807): : 145 - 153
  • [39] RAMBLAS: a regional planning model based on the microsimulation of daily activity travel patterns
    Veldhuisen, J
    Timmermans, H
    Kapoen, L
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2000, 32 (03): : 427 - 443
  • [40] Modeling the Connection Between Activity-Travel Patterns and Subjective Well-Being
    Archer, Melissa
    Paleti, Rajesh
    Konduri, Karthik C.
    Pendyala, Ram M.
    Bhat, Chandra R.
    TRANSPORTATION RESEARCH RECORD, 2013, (2382) : 102 - 111