IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10583-d641900.html
   My bibliography  Save this article

Understanding E-Scooter Incidents Patterns in Street Network Perspective: A Case Study of Travis County, Texas

Author

Listed:
  • Junfeng Jiao

    (Urban Information Lab., The School of Architecture, The University of Texas at Austin, Austin, TX 78705, USA)

  • Shunhua Bai

    (Urban Information Lab., The School of Architecture, The University of Texas at Austin, Austin, TX 78705, USA)

  • Seung Jun Choi

    (Urban Information Lab., The School of Architecture, The University of Texas at Austin, Austin, TX 78705, USA)

Abstract

Dockless electric scooter (E-scooters) services have emerged in the United States as an alternative form of micro transit in the past few years. With the increasing popularity of E-scooters, it is important for cities to manage their usage to create and maintain safe urban environments. However, E-scooter safety in U.S. urban environments remains unexplored due to the lack of traffic and crash data related to E-scooters. Our study objective is to better understand E-scooter crashes from a street network perspective. New parcel level street network data are obtained from Zillow and curated in Geographic Information System (GIS). We conducted local Moran’s I and independent Z-test to compare where and how the street network that involves E-scooter crash differs spatially with traffic incidents. The analysis results show that there is a spatial correlation between E-scooter crashes and traffic incidents. Nevertheless, E-scooter crashes do not fully replicate characteristics of traffic incidents. Compared to traffic incidents, E-scooter incidents tend to occur adjacent to traffic signals and on primary roads.

Suggested Citation

  • Junfeng Jiao & Shunhua Bai & Seung Jun Choi, 2021. "Understanding E-Scooter Incidents Patterns in Street Network Perspective: A Case Study of Travis County, Texas," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10583-:d:641900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10583/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/19/10583/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    2. Tuncer, Sylvaine & Laurier, Eric & Brown, Barry & Licoppe, Christian, 2020. "Notes on the practices and appearances of e-scooter users in public space," Journal of Transport Geography, Elsevier, vol. 85(C).
    3. Tiziana Campisi & Socrates Basbas & Anastasios Skoufas & Nurten Akgün & Dario Ticali & Giovanni Tesoriere, 2020. "The Impact of COVID-19 Pandemic on the Resilience of Sustainable Mobility in Sicily," Sustainability, MDPI, vol. 12(21), pages 1-24, October.
    4. Shaheen, Susan PhD & Cohen, Adam, 2019. "Shared Micromoblity Policy Toolkit: Docked and Dockless Bike and Scooter Sharing," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt00k897b5, Institute of Transportation Studies, UC Berkeley.
    5. Xie, Zhixiao & Yan, Jun, 2013. "Detecting traffic accident clusters with network kernel density estimation and local spatial statistics: an integrated approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 64-71.
    Full references (including those not matched with items on IDEAS)

    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. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Jihun Oh & Jeongseob Kim, 2021. "Where to Ride? An Explorative Study to Investigate Potential Risk Factors of Personal Mobility Accidents," IJERPH, MDPI, vol. 18(3), pages 1-15, January.
    3. Maximilian Heumann & Tobias Kraschewski & Tim Brauner & Lukas Tilch & Michael H. Breitner, 2021. "A Spatiotemporal Study and Location-Specific Trip Pattern Categorization of Shared E-Scooter Usage," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    4. Shah, Nitesh R. & Ziedan, Abubakr & Brakewood, Candace & Cherry, Christopher R., 2023. "Shared e-scooter service providers with large fleet size have a competitive advantage: Findings from e-scooter demand and supply analysis of Nashville, Tennessee," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    5. Lorenzo Barbieri & Roberto D’Autilia & Paola Marrone & Ilaria Montella, 2023. "Graph Representation of the 15-Minute City: A Comparison between Rome, London, and Paris," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    6. Tim De Ceunynck & Gert Jan Wijlhuizen & Aslak Fyhri & Regine Gerike & Dagmar Köhler & Alice Ciccone & Atze Dijkstra & Emmanuelle Dupont & Mario Cools, 2021. "Assessing the Willingness to Use Personal e-Transporters (PeTs): Results from a Cross-National Survey in Nine European Cities," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    7. Nikolaos-Fivos Galatoulas & Konstantinos N. Genikomsakis & Christos S. Ioakimidis, 2020. "Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    8. Yaxin Fan & Xinyan Zhu & Bing She & Wei Guo & Tao Guo, 2018. "Network-constrained spatio-temporal clustering analysis of traffic collisions in Jianghan District of Wuhan, China," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
    9. Roman Dostál & Josef Kocourek & Aneta Matysková & Karolína Moudrá & Vojtěch Nižňanský, 2021. "The Implementation of the Smart City Process—Researchers’ Knowledge in Detecting Transport System Defects," Sustainability, MDPI, vol. 13(6), pages 1-16, March.
    10. Wang, Cheng & Wang, Gang & Guo, Ziru & Dai, Lingjun & Liu, Hongyu & Li, Yufeng & Chen, Hao & Zhao, Yongxiang & Zhang, Yanan & Cheng, Hai, 2020. "Effects of land-use change on the distribution of the wintering red-crowned crane (Grus japonensis) in the coastal area of northern Jiangsu Province, China," Land Use Policy, Elsevier, vol. 90(C).
    11. Mert Ersen & Ali Hakan Büyüklü & Semra Taşabat Erpolat, 2021. "Analysis of Fatal and Injury Traffic Accidents in Istanbul Sarıyer District with Spatial Statistics Methods," Sustainability, MDPI, vol. 13(19), pages 1-39, October.
    12. Fuller, Sam & Fitch, Dillon & D'Agostino, Mollie C., 2021. "Local Policies for Better Micromobility," Institute of Transportation Studies, Working Paper Series qt8mw5j82x, Institute of Transportation Studies, UC Davis.
    13. Virginie Boutueil & Luc Nemett & Thomas Quillerier, 2021. "Trends in Competition among Digital Platforms for Shared Mobility: Insights from a Worldwide Census and Prospects for Research," Post-Print hal-03388213, HAL.
    14. Draženko Glavić & Ana Trpković & Marina Milenković & Sreten Jevremović, 2021. "The E-Scooter Potential to Change Urban Mobility—Belgrade Case Study," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    15. Ying Ni & Jiaqi Chen, 2020. "Exploring the Effects of the Built Environment on Two Transfer Modes for Metros: Dockless Bike Sharing and Taxis," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    16. Schulte-Fischedick, Marta & Shan, Yuli & Hubacek, Klaus, 2021. "Implications of COVID-19 lockdowns on surface passenger mobility and related CO2 emission changes in Europe," Applied Energy, Elsevier, vol. 300(C).
    17. Qing Ye & Yi Li & Wenzhe Shen & Zhaoze Xuan, 2023. "Division and Analysis of Accident-Prone Areas near Highway Ramps Based on Spatial Autocorrelation," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    18. Tiziana Campisi & Anastasios Skoufas & Alexandros Kaltsidis & Socrates Basbas, 2021. "Gender Equality and E-Scooters: Mind the Gap! A Statistical Analysis of the Sicily Region, Italy," Social Sciences, MDPI, vol. 10(10), pages 1-24, October.
    19. Younes, Hannah & Nasri, Arefeh & Baiocchi, Giovanni & Zhang, Lei, 2019. "How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area," Journal of Transport Geography, Elsevier, vol. 76(C), pages 83-92.
    20. Álvaro Aguilera-García & Juan Gomez & Natalia Sobrino & Juan José Vinagre Díaz, 2021. "Moped Scooter Sharing: Citizens’ Perceptions, Users’ Behavior, and Implications for Urban Mobility," Sustainability, MDPI, vol. 13(12), pages 1-26, June.

    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:13:y:2021:i:19:p:10583-:d:641900. 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.