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Integrated analysis of land-use and transport policy interventions

Author

Listed:
  • Mohammed Aljoufie
  • Mark Brussel
  • Mark Zuidgeest
  • Hedwig van Delden
  • Martin van Maarseveen

Abstract

Analysing the impact of urban policy interventions on urban growth, land use and transport (LUT) is crucial for urban planners, transport planners and policy-makers, especially in rapidly growing cities. This paper presents a cellular automata-based land-use/transport interaction model -- Metronamica-LUTI -- for Jeddah that is used to analyse the impact of different proposed policy interventions under two urban growth scenarios for the period 2011--2031. Used as an integrated policy impact assessment tool, the model demonstrates a strong reciprocal relationship between LUT in Jeddah. This study shows that relevant spatial information and integrated policy impact assessment can provide rich insights into the interaction between LUT, the appropriate policy to consider in place and time which traditional planning practice and typical static urban models cannot do.

Suggested Citation

  • Mohammed Aljoufie & Mark Brussel & Mark Zuidgeest & Hedwig van Delden & Martin van Maarseveen, 2016. "Integrated analysis of land-use and transport policy interventions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(4), pages 329-357, June.
    • Handle: RePEc:taf:transp:v:39:y:2016:i:4:p:329-357
    DOI: 10.1080/03081060.2016.1160578
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    References listed on IDEAS

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    1. K C Clarke & S Hoppen & L Gaydos, 1997. "A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area," Environment and Planning B, , vol. 24(2), pages 247-261, April.
    2. Daniel Arribas-Bel & Peter Nijkamp & Henk Scholten, 2011. "Multi-Dimensional Urban Sprawl in Europe: a Self-Organizing Map Approach," ERSA conference papers ersa10p485, European Regional Science Association.
    3. Horridge, Mark, 1994. "A computable general equilibrium model of urban transport demands," Journal of Policy Modeling, Elsevier, vol. 16(4), pages 427-457, August.
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    Cited by:

    1. Mohammed Aljoufie, 2021. "The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    2. Yanan Zhang & Hongke Xu & Qing-Chang Lu & Shan Lin & Jiacheng Song, 2023. "Vulnerability Analysis of Bus Network Based on Land-Use Type of Bus Stops: The Case of Xi’an, China," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    3. Istiak Ahmad & Fahad Alqurashi & Ehab Abozinadah & Rashid Mehmood, 2022. "Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation," Sustainability, MDPI, vol. 14(9), pages 1-72, May.

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