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Urban Sprawl, Socioeconomic Features, and Travel Patterns in Middle East Countries: A Case Study in Iran

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  • Melika Mehriar

    (Center for Technology and Society, Technische Universität Berlin, Germany, Kaiserin-Augusta-Alle 104, 10553 Berlin, Germany
    Department of City and Regional Planning, School of Architecture, Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, Spain)

  • Houshmand Masoumi

    (Center for Technology and Society, Technische Universität Berlin, Germany, Kaiserin-Augusta-Alle 104, 10553 Berlin, Germany
    Department of Transport and Supply Chain Management, College of Business and Economics, University of Johannesburg, Johannesburg 2006, South Africa)

  • Inmaculada Mohino

    (Department of City and Regional Planning, School of Architecture, Universidad Politécnica de Madrid, Av. Juan de Herrera, 4, 28040 Madrid, Spain)

Abstract

The present study aimed to investigate different socioeconomic factors as well as the perceptions and travel behaviors associated with urban sprawl in two cities of different sizes in Iran, as a developing country in the Middle East. Four Weighted Least Squares (WLS) regression models were developed for Hamedan and Nowshahr, as examples of large and small cities in Iran, respectively. The findings showed different correlations related to urban sprawl between Iranian cities and high-income countries in terms of socioeconomic and travel behavior determinants. Urban sprawl around home in Hamedan was positively correlated with the number of cars and driving licenses in households, the use of a private car for trips, and less use of public transport. Urban sprawl around homes in Nowshahr was related to an increased number of cars, the use of private cars for non-commuting trips, less sense of belonging to the neighborhood, and lower income. Additionally, urban sprawl around workplaces was correlated with main daily activity, number of non-commuting trips, mode of choice for non-commuting, and residential location choice in Hamedan a swell as monthly income, daily shopping area, frequency of public transport use, quality of recreational facilities, length of time for living in the current home, and commuting distance in Nowshahr.

Suggested Citation

  • Melika Mehriar & Houshmand Masoumi & Inmaculada Mohino, 2020. "Urban Sprawl, Socioeconomic Features, and Travel Patterns in Middle East Countries: A Case Study in Iran," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9620-:d:447141
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    Cited by:

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    2. Nebras Khadour & Nawarah Al Basha & Máté Sárospataki & Albert Fekete, 2021. "Correlation between Land Use and the Transformation of Rural Housing Model in the Coastal Region of Syria," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    3. Marwan Omar Hassan & Gabriel Hoh Teck Ling & Noradila Rusli & Safizahanin Mokhtar & Walton Wider & Pau Chung Leng, 2023. "Urban Sprawl Patterns, Drivers, and Impacts: The Case of Mogadishu, Somalia Using Geo-Spatial and SEM Analyses," Land, MDPI, vol. 12(4), pages 1-25, March.
    4. Houshmand Masoumi, 2021. "Residential Location Choice in Istanbul, Tehran, and Cairo: The Importance of Commuting to Work," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    5. Muhammad Salem & Arghadeep Bose & Bashar Bashir & Debanjan Basak & Subham Roy & Indrajit R. Chowdhury & Abdullah Alsalman & Naoki Tsurusaki, 2021. "Urban Expansion Simulation Based on Various Driving Factors Using a Logistic Regression Model: Delhi as a Case Study," Sustainability, MDPI, vol. 13(19), pages 1-17, September.

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