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Route Planning under Mobility Restrictions in the Palestinian Territories

Author

Listed:
  • Hala Aburas

    (Civil and Geo-Environmental Engineering Laboratory (LGCgE), Lille University, Rue Paul Duez, 59000 Lille, France)

  • Isam Shahrour

    (Civil and Geo-Environmental Engineering Laboratory (LGCgE), Lille University, Rue Paul Duez, 59000 Lille, France)

  • Carlo Giglio

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Via Pietro Bucci, 46/C, 87036 Rende, Italy
    University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei 230026, China
    Faculdade de Economia, Administração, Contabilidade e Atuária, University of São Paulo, Avenida Professor Luciano Gualberto, 908, Butantã 05508-010, SP, Brazil)

Abstract

This study aims to enhance people’s mobility in the context of mobility restrictions in the Palestinian territories, West Bank. It aims to develop a comprehensive route planning model that prioritises safety and optimises travel time while also considering sustainability issues. Unlike previous research, which has often focused solely on traffic crashes and physical road considerations in safety route planning, this study addresses the gap by developing a comprehensive model that integrates new risk criteria including mobility restrictions and violent events. The methodology involves historical and real-time data collection and processing, machine learning-based travel time prediction, and route optimisation using Dijkstra’s algorithm. The results highlight the significant impact of violent incidents on comprehensive risk scores, offering insights for proactive, sustainable measures. The waiting time prediction model performs strongly, with (R-squared) R 2 values ranging from 80% to 92%. The developed route planning model provides three categorised routes under mobility restrictions—safest, fastest, and shortest—offering travellers sustainable and tailored options.

Suggested Citation

  • Hala Aburas & Isam Shahrour & Carlo Giglio, 2024. "Route Planning under Mobility Restrictions in the Palestinian Territories," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:660-:d:1317576
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    References listed on IDEAS

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    1. Danish Farooq & Sarbast Moslem & Arshad Jamal & Farhan Muhammad Butt & Yahya Almarhabi & Rana Faisal Tufail & Meshal Almoshaogeh, 2021. "Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    2. Guy Wachtel & Jan-Dirk Schmöcker & Yuval Hadas & Yuhan Gao & Oren E Nahum & Boaz Ben-Moshe, 2021. "Planning for tourist urban evacuation routes: A framework for improving the data collection and evacuation processes," Environment and Planning B, , vol. 48(5), pages 1108-1125, June.
    3. Serin, Faruk & Alisan, Yigit & Kece, Adnan, 2021. "Hybrid time series forecasting methods for travel time prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 579(C).
    4. Borker,Girija, 2021. "Safety First : Perceived Risk of Street Harassment and Educational Choices of Women," Policy Research Working Paper Series 9731, The World Bank.
    5. Marko Subotić & Nemanja Stepanović & Vladan Tubić & Edis Softić & Mouhamed Bayane Bouraima & Dan Selişteanu, 2022. "Models of Analysis of Credible Deviation from Speed Limits on Two-Lane Roads of Bosnia and Herzegovina," Complexity, Hindawi, vol. 2022, pages 1-13, October.
    6. Zandieh, Fatemeh & Ghannadpour, Seyed Farid, 2023. "A comprehensive risk assessment view on interval type-2 fuzzy controller for a time-dependent HazMat routing problem," European Journal of Operational Research, Elsevier, vol. 305(2), pages 685-707.
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