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The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis

Author

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  • Mohammed Aljoufie

    (Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

This paper aimed to measure and analyze the impact of temporal population density changes on transportation in Jeddah, a fast-growing city in Saudi Arabia. Local cooperative interpretation is first used to quantify the temporal population density and transportation changes for three sample districts in Jeddah from 2007 to 2014. Three temporal indicators were developed to measure the impact of increasing population density on transportation: (1) District Road Density Index (DRDI); (2) District Parking Index (DPI); and (3) District Trip Index (DTI). Then, a statistical analysis was conducted to examine the temporal relationship between population density and transportation for the years 2007 and 2014, by performing a Pearson correlation analysis, a paired t -test and a bootstrap for paired samples test. The results of temporal indicators revealed a significant change in population density in Jeddah from 2007 to 2014, which seems to indicate intensified demand for transportation infrastructure. The Pearson correlation analysis indicated a strong positive relationship between population density variables and temporal impact indicators. Both a paired t -test and a bootstrap for paired samples test results indicated the effect of population density changes on transportation changes in Jeddah as a result of population density regulation changes in Jeddah from 2007 to 2014. This study presents sophisticated tools to study the impact of temporal population density change on transportation in a fast-growing city, which will facilitate the measurement and evaluation of urban sustainability.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1455-:d:490037
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    Cited by:

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    2. Mahsa Farahani & Seyed Vahid Razavi-Termeh & Abolghasem Sadeghi-Niaraki & Soo-Mi Choi, 2023. "A Hybridization of Spatial Modeling and Deep Learning for People’s Visual Perception of Urban Landscapes," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    3. Ghada Ragheb Elnaggar & Shireen Al-Hourani & Rimal Abutaha, 2025. "Real-Time Urban Congestion Monitoring in Jeddah, Saudi Arabia, Using the Google Maps API: A Data-Driven Framework for Middle Eastern Cities," Sustainability, MDPI, vol. 17(18), pages 1-32, September.
    4. Seham S. Al-Alola & Haya M. Alogayell & Ibtesam I. Alkadi & Soha A. Mohamed & Ismail Y. Ismail, 2021. "Recognition and Prediction of Land Dynamics and Its Associated Impacts in Al-Qurayyat City and along Al-Shamal Train Pathway in Saudi Arabia," Sustainability, MDPI, vol. 13(17), pages 1-25, September.
    5. Almulhim, Abdulaziz I. & Cobbinah, Patrick Brandful, 2024. "Urbanization provocateur: Reaching urban planning-led development in Saudi Arabia," Land Use Policy, Elsevier, vol. 147(C).
    6. Ibrahim Alkhaldy & Pauline Barnett, 2021. "Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 18(12), pages 1-11, June.

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