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RAMBLAS: A Regional Planning Model Based on the Microsimulation of Daily Activity Travel Patterns

Author

Listed:
  • Jan Veldhuisen
  • Harry Timmermans
  • Loek Kapoen

    (Department of Geography, University of Amsterdam 1018 VZ Amsterdam, The Netherlands)

Abstract

In this paper we report on the development of a microsimulation model of daily activity patterns in the context of a regional planning model. One of the aims of the simulation model is to predict traffic flows on a transportation network for various times of the day by using available statistical data sources as input. We first discuss the general conceptual underpinnings of the model, and against a brief discussion of existing activity-based models of transport demand we outline the major differences between these models and the current one. Next, major operational decisions, data input, and model architecture are discussed, followed by an illustration of the model for the Eindhoven region in the Netherlands. We conclude the paper by critically discussing its basic assumptions and identifying avenues of future research.

Suggested Citation

  • Jan Veldhuisen & Harry Timmermans & Loek Kapoen, 2000. "RAMBLAS: A Regional Planning Model Based on the Microsimulation of Daily Activity Travel Patterns," Environment and Planning A, , vol. 32(3), pages 427-443, March.
    • Handle: RePEc:sae:envira:v:32:y:2000:i:3:p:427-443
    DOI: 10.1068/a325
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    References listed on IDEAS

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    Cited by:

    1. K Jan Veldhuisen & Harry J P Timmermans & Loek L Kapoen, 2005. "Simulating the Effects of Urban Development on Activity — Travel Patterns: An Application of Ramblas to the Randstad North Wing," Environment and Planning B, , vol. 32(4), pages 567-580, August.
    2. Eveline van Leeuwen & Karima Kourtit & Peter Nijkamp, 2013. "Residents' Appreciation of Cultural Heritage in Tourist Centres: A Microsimulation Modelling Approach to Amsterdam," Tourism Economics, , vol. 19(5), pages 1077-1098, October.
    3. Marcial Echenique & Vadim Grinevich & Antony Hargreaves & Vassilis Zachariadis, 2011. "Implementation of a land use and spatial interaction model based on random utility choices and social accounting matrices," ERSA conference papers ersa11p1555, European Regional Science Association.
    4. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    5. Gargi Chaudhuri & Keith C Clarke, 2015. "On the Spatiotemporal Dynamics of the Coupling between Land Use and Road Networks: Does Political History Matter?," Environment and Planning B, , vol. 42(1), pages 133-156, February.
    6. Stopher, Peter R. & Greaves, Stephen P., 2007. "Household travel surveys: Where are we going?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 367-381, June.
    7. Harvey J Miller, 2005. "Necessary Space—Time Conditions for Human Interaction," Environment and Planning B, , vol. 32(3), pages 381-401, June.
    8. Eduardo Gomes, 2020. "Sustainable Population Growth in Low-Density Areas in a New Technological Era: Prospective Thinking on How to Support Planning Policies Using Complex Spatial Models," Land, MDPI, vol. 9(7), pages 1-14, July.
    9. Ruihong Huang, 2019. "Simulating individual work trips for transit-facilitated accessibility study," Environment and Planning B, , vol. 46(1), pages 84-102, January.
    10. Bert van Wee & Caspar Chorus & Karst T. Geurs, 2012. "ICT and accessibility: research synthesis and future perspectives," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 3, pages 37-53, Edward Elgar Publishing.

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