IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v7y2015i7p9444-9460d52740.html
   My bibliography  Save this article

Built Environmental Designs in Promoting Pedestrian Safety

Author

Listed:
  • Chia-Yuan Yu

    (Urban and Regional Planning Program, University of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816, USA)

Abstract

This study examined two-level (road environments and census tracts) built environments related to the probability of severe injury for pedestrians. In total, 1407 pedestrian–vehicle crashes (years 2008–2012) were identified from 140 census tracts in the city of Austin. Two multilevel models were applied to examine pedestrian injury severity by using level-1 factors (individual characteristics, road environments, and area characteristics around the crash location) and level-2 factors (characteristics of census tracts). The results demonstrated the importance of using the multi-level model to avoid the biased results from employing the single-level model. This study showed that the likelihood of being severely injured or killed decreased when vehicles turned left, when crashes occurred at intersections, when there were traffic control devices at the crash location, and when crashes occurred during inclement weather conditions. Areas with higher sidewalk densities and higher percentage of commercial uses were negative correlates, while population density was a positive predictor. Pedestrian injury severity has been and will continue to be an important topic for the fields of public health. Future safety programs should focus on providing connected sidewalks and on populated areas.

Suggested Citation

  • Chia-Yuan Yu, 2015. "Built Environmental Designs in Promoting Pedestrian Safety," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:7:p:9444-9460:d:52740
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/7/7/9444/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/7/7/9444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elizabeth Delmelle & Jean-Claude Thill & Hoe-Hun Ha, 2012. "Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians," Transportation, Springer, vol. 39(2), pages 433-448, March.
    2. Eric Dumbaugh & Wenhao Li, 2011. "Designing for the Safety of Pedestrians, Cyclists, and Motorists in Urban Environments," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(1), pages 69-88.
    3. Retting, R.A. & Ferguson, S.A. & McCartt, A.T., 2003. "A Review of Evidence-Based Traffic Engineering Measures Designed to Reduce Pedestrian-Motor Vehicle Crashes," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1456-1463.
    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. Seunghoon Park & Dongwon Ko, 2020. "A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes," IJERPH, MDPI, vol. 17(9), pages 1-18, April.
    2. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    3. Mohsen Kalantari & Saeed Zanganeh Shahraki & Bamshad Yaghmaei & Somaye Ghezelbash & Gianluca Ladaga & Luca Salvati, 2021. "Unraveling Urban Form and Collision Risk: The Spatial Distribution of Traffic Accidents in Zanjan, Iran," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    4. Seunghoon Park & Dongwon Ko, 2020. "Investigating the Factors Influencing Pedestrian–Vehicle Crashes by Age Group in Seoul, South Korea: A Hierarchical Model," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    5. Seung-Hoon Park & Min-Kyung Bae, 2020. "Exploring the Determinants of the Severity of Pedestrian Injuries by Pedestrian Age: A Case Study of Daegu Metropolitan City, South Korea," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    6. Javier Delso & Belén Martín & Emilio Ortega & Isabel Otero, 2017. "A Model for Assessing Pedestrian Corridors. Application to Vitoria-Gasteiz City (Spain)," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    7. Choi, Dong-ah & Ewing, Reid, 2021. "Effect of street network design on traffic congestion and traffic safety," Journal of Transport Geography, Elsevier, vol. 96(C).

    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. Tanja Congiu & Giovanni Sotgiu & Paolo Castiglia & Antonio Azara & Andrea Piana & Laura Saderi & Marco Dettori, 2019. "Built Environment Features and Pedestrian Accidents: An Italian Retrospective Study," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    2. Courtney Coughenour & Hanns de la Fuente-Mella & Alexander Paz, 2019. "Analysis of Self-Reported Walking for Transit in a Sprawling Urban Metropolitan Area in the Western U.S," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    3. Sheila Clark & Courtney Coughenour & Kelly Bumgarner & Hanns de la Fuente-Mella & Chantel Reynolds & James Abelar, 2019. "The Impact of Pedestrian Crossing Flags on Driver Yielding Behavior in Las Vegas, NV," Sustainability, MDPI, vol. 11(17), pages 1-8, August.
    4. Piotr Tomczuk & Anna Wytrykowska & Marcin Chrzanowicz, 2023. "Analysis of Luminance Contrast Values at Illuminated Pedestrian Crossings in Urban Conditions," Energies, MDPI, vol. 16(24), pages 1-27, December.
    5. Moien A. B. Khan & Michal Grivna & Javaid Nauman & Elpidoforos S. Soteriades & Arif Alper Cevik & Muhammad Jawad Hashim & Romona Govender & Salma Rashid Al Azeezi, 2020. "Global Incidence and Mortality Patterns of Pedestrian Road Traffic Injuries by Sociodemographic Index, with Forecasting: Findings from the Global Burden of Diseases, Injuries, and Risk Factors 2017 St," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    6. Rebekka E. Apardian & Oleg Smirnov, 2020. "An analysis of pedestrian crashes using a spatial count data model," Papers in Regional Science, Wiley Blackwell, vol. 99(5), pages 1317-1338, October.
    7. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.
    8. Shu-Hui Peng & Chun-Ying Huang & Shiun-Yuan Hsu & Li-Hui Yang & Ching-Hua Hsieh, 2018. "The Preschool-Aged and School-Aged Children Present Different Odds of Mortality than Adults in Southern Taiwan: A Cross-Sectional Retrospective Analysis," IJERPH, MDPI, vol. 15(5), pages 1-11, April.
    9. Boeing, Geoff, 2018. "Measuring the Complexity of Urban Form and Design," SocArXiv bxhrz, Center for Open Science.
    10. Meysam Effati & Jean-Claude Thill & Shahin Shabani, 2015. "Geospatial and machine learning techniques for wicked social science problems: analysis of crash severity on a regional highway corridor," Journal of Geographical Systems, Springer, vol. 17(2), pages 107-135, April.
    11. Bones, Emma J. & Barrella, Elise M. & Amekudzi, Adjo A., 2013. "Implementation of evidence-based design approaches in transportation decision making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 317-328.
    12. Chen, Li & Chen, Cynthia & Ewing, Reid, 2014. "The relative effectiveness of signal related pedestrian countermeasures at urban intersections—Lessons from a New York City case study," Transport Policy, Elsevier, vol. 32(C), pages 69-78.
    13. Soltani, Ali & Roohani Qadikolaei, Mohsen, 2024. "Space-time analysis of accident frequency and the role of built environment in mitigation," Transport Policy, Elsevier, vol. 150(C), pages 189-205.
    14. Yiannakoulias, Nikolaos & Scott, Darren M., 2013. "The effects of local and non-local traffic on child pedestrian safety: A spatial displacement of risk," Social Science & Medicine, Elsevier, vol. 80(C), pages 96-104.
    15. Trina Robinson & Andrea Nathan & Kevin Murray & Hayley Christian, 2022. "Parents’ Perceptions of the Neighbourhood Built Environment Are Associated with the Social and Emotional Development of Young Children," IJERPH, MDPI, vol. 19(11), pages 1-14, May.
    16. Kadali, B Raghuram & Vedagiri, P., 2015. "Evaluation of pedestrian crosswalk level of service (LOS) in perspective of type of land-use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 73(C), pages 113-124.

    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:7:y:2015:i:7:p:9444-9460:d:52740. 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.