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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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    1. Liu, Xiaoping & Ou, Jinpei & Chen, Yimin & Wang, Shaojian & Li, Xia & Jiao, Limin & Liu, Yaolin, 2019. "Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures," Applied Energy, Elsevier, vol. 238(C), pages 1163-1178.
    2. Seyyed Hadi Hosseini & Mehran Hajilou, 2019. "Drivers of urban sprawl in urban areas of Iran," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 1137-1158, April.
    3. Ehrlich, Maximilian V. & Hilber, Christian A.L. & Schöni, Olivier, 2018. "Institutional settings and urban sprawl: Evidence from Europe," Journal of Housing Economics, Elsevier, vol. 42(C), pages 4-18.
    4. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    5. Figueroa, Maria J. & Nielsen, Thomas A. Sick & Siren, Anu, 2014. "Comparing urban form correlations of the travel patterns of older and younger adults," Transport Policy, Elsevier, vol. 35(C), pages 10-20.
    6. Wang, Shaojian & Liu, Xiaoping & Zhou, Chunshan & Hu, Jincan & Ou, Jinpei, 2017. "Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities," Applied Energy, Elsevier, vol. 185(P1), pages 189-200.
    7. Czepkiewicz, Michał & Ottelin, Juudit & Ala-Mantila, Sanna & Heinonen, Jukka & Hasanzadeh, Kamyar & Kyttä, Marketta, 2018. "Urban structural and socioeconomic effects on local, national and international travel patterns and greenhouse gas emissions of young adults," Journal of Transport Geography, Elsevier, vol. 68(C), pages 130-141.
    8. Guillaume Pouyanne, 2004. "The influence of urban form on travel patterns. An application to the metropolitan area of Bordeaux," ERSA conference papers ersa04p244, European Regional Science Association.
    9. Taher Osman & Prasanna Divigalpitiya & Takafumi Arima, 2016. "Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(2), pages 206-225, July.
    10. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
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