IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i12p4862-d191834.html
   My bibliography  Save this article

Use of Shared-Mobility Services to Accomplish Emergency Evacuation in Urban Areas via Reduction in Intermediate Trips—Case Study in Xi’an, China

Author

Listed:
  • Menghui Li

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Jinliang Xu

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Xingliang Liu

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

  • Chao Sun

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Zhihao Duan

    (College of Highway Engineering, Chang’an University, Xi’an 710064, China)

Abstract

Under no-notice evacuation scenarios with limited time horizons, the effectiveness of evacuation can be negatively impacted by intermediate trips that are made by family members and the identification of vulnerable populations. The emergence of shared-mobility companies, such as Uber and DiDi, can be considered as a potential means to address above-mentioned concerns. The proposed study explores the utility of shared-mobility services under emergency-evacuation scenarios and makes recommendations to relevant bodies that are based on the obtained and they are discussed herein. The study investigates attitudes of the public, experts, and drivers towards the use of shared-mobility resources during emergency evacuations based on a stated preference survey. Results of questionnaires, driver interviews, and face-to-face expert interviews have been analyzed to validate the feasibility and identify potential problems of leveraging shared-mobility services during evacuation response, especially in metropolitan areas wherein such services are already ubiquitous. Numerical simulations have been performed to quantify potential improvements in the total trip distance and number of evacuees after incorporating the use of shared mobility into emergency-response operations. However, despite the observed improvement in emergency efficiency, certain realistic roadblocks must be overcome. Realization of the proposed objective heavily depends on actionable policy recommendations, provided herein as a reference for the government, emergency management agencies, and shared-mobility companies.

Suggested Citation

  • Menghui Li & Jinliang Xu & Xingliang Liu & Chao Sun & Zhihao Duan, 2018. "Use of Shared-Mobility Services to Accomplish Emergency Evacuation in Urban Areas via Reduction in Intermediate Trips—Case Study in Xi’an, China," Sustainability, MDPI, vol. 10(12), pages 1-27, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4862-:d:191834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/12/4862/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/12/4862/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. An, Shi & Cui, Na & Li, Xiaopeng & Ouyang, Yanfeng, 2013. "Location planning for transit-based evacuation under the risk of service disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 1-16.
    2. Eliahu Stern, 1989. "Evacuation Intentions of Parents in an Urban Radiological Emergency," Urban Studies, Urban Studies Journal Limited, vol. 26(2), pages 191-198, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stephen D. Wong & Joan L. Walker & Susan A. Shaheen, 0. "Bridging the gap between evacuations and the sharing economy," Transportation, Springer, vol. 0, pages 1-50.
    2. Ding Wang & Kaan Ozbay & Zilin Bian, 2021. "Modeling and Analysis of Optimal Strategies for Leveraging Ride-Sourcing Services in Hurricane Evacuation," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    3. Sungwon Kim & Hwansoo Lee & Seung-Woo Son, 2021. "Emerging Diffusion Barriers of Shared Mobility Services in Korea," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    4. Seddighi, Hamed & Baharmand, Hossein, 2020. "Exploring the role of the sharing economy in disasters management," Technology in Society, Elsevier, vol. 63(C).
    5. Elisa Borowski & Amanda Stathopoulos, 2022. "Protection or Peril of Following the Crowd in a Pandemic-Concurrent Flood Evacuation," Papers 2202.00229, arXiv.org.
    6. Stephen D. Wong & Joan L. Walker & Susan A. Shaheen, 2021. "Bridging the gap between evacuations and the sharing economy," Transportation, Springer, vol. 48(3), pages 1409-1458, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Zhaodong & Xie, Siyang & Ouyang, Yanfeng, 2022. "Planning reliable service facility location against disruption risks and last-mile congestion in a continuous space," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 123-140.
    2. Linlin Zhang & Na Cui, 2021. "Pre-Positioning Facility Location and Resource Allocation in Humanitarian Relief Operations Considering Deprivation Costs," Sustainability, MDPI, vol. 13(8), pages 1-26, April.
    3. Yun, Lifen & Qin, Yong & Fan, Hongqiang & Ji, Changxu & Li, Xiaopeng & Jia, Limin, 2015. "A reliability model for facility location design under imperfect information," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 596-615.
    4. An, Shi & Cui, Na & Bai, Yun & Xie, Weijun & Chen, Mingliu & Ouyang, Yanfeng, 2015. "Reliable emergency service facility location under facility disruption, en-route congestion and in-facility queuing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 199-216.
    5. Yun, Lifen & Wang, Xifu & Fan, Hongqiang & Li, Xiaopeng, 2020. "Reliable facility location design with round-trip transportation under imperfect information Part I: A discrete model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    6. Junhu Ruan & Xuping Wang & Yan Shi, 2014. "A Two-Stage Approach for Medical Supplies Intermodal Transportation in Large-Scale Disaster Responses," IJERPH, MDPI, vol. 11(11), pages 1-29, October.
    7. Shahparvari, Shahrooz & Abbasi, Babak & Chhetri, Prem, 2017. "Possibilistic scheduling routing for short-notice bushfire emergency evacuation under uncertainties: An Australian case study," Omega, Elsevier, vol. 72(C), pages 96-117.
    8. Alizadeh, Morteza & Amiri-Aref, Mehdi & Mustafee, Navonil & Matilal, Sumohon, 2019. "A robust stochastic Casualty Collection Points location problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 965-983.
    9. Shahparvari, Shahrooz & Chhetri, Prem & Abbasi, Babak & Abareshi, Ahmad, 2016. "Enhancing emergency evacuation response of late evacuees: Revisiting the case of Australian Black Saturday bushfire," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 148-176.
    10. Shahparvari, Shahrooz & Abbasi, Babak, 2017. "Robust stochastic vehicle routing and scheduling for bushfire emergency evacuation: An Australian case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 32-49.
    11. Hector R. Lim & Ma. Bernadeth B. Lim & Mongkut Piantanakulchai, 2016. "Determinants of household flood evacuation mode choice in a developing country," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 507-532, October.
    12. Liu, Bingsheng & Sheu, Jiuh-Biing & Zhao, Xue & Chen, Yuan & Zhang, Wei, 2020. "Decision making on post-disaster rescue routing problems from the rescue efficiency perspective," European Journal of Operational Research, Elsevier, vol. 286(1), pages 321-335.
    13. Zhi-Chun Li & Qian Liu, 2020. "Optimal deployment of emergency rescue stations in an urban transportation corridor," Transportation, Springer, vol. 47(1), pages 445-473, February.
    14. Lifen Yun & Xifu Wang & Hongqiang Fan & Xiaopeng Li, 2017. "A reliable facility location design model with site-dependent disruption in the imperfect information context," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    15. Fan, Hongqiang & Yun, Lifen & Li, Xiaopeng, 2022. "A linear-time crystal-growth algorithm for discretization of continuum approximation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    16. Sabbaghtorkan, Monir & Batta, Rajan & He, Qing, 2020. "Prepositioning of assets and supplies in disaster operations management: Review and research gap identification," European Journal of Operational Research, Elsevier, vol. 284(1), pages 1-19.
    17. Wang, Yan & Wang, Junwei, 2019. "Integrated reconfiguration of both supply and demand for evacuation planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 82-94.
    18. Wu, Jiaming & Kulcsár, Balázs & Ahn, Soyoung & Qu, Xiaobo, 2020. "Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 223-239.
    19. Goerigk, Marc & Deghdak, Kaouthar & T’Kindt, Vincent, 2015. "A two-stage robustness approach to evacuation planning with buses," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 66-82.
    20. Kelle, Peter & Schneider, Helmut & Yi, Huizhi, 2014. "Decision alternatives between expected cost minimization and worst case scenario in emergency supply – Second revision," International Journal of Production Economics, Elsevier, vol. 157(C), pages 250-260.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4862-:d:191834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.