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    Analyzing Pedestrian Fatality Risk in a Developing Country: Empirical Assessment with Insights from Dar es Salaam, Tanzania

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009::page 04023081-1
    Author:
    Henry P. Sawaki
    ,
    John H. Kodi
    ,
    Angela E. Kitali
    ,
    Emmanuel Kidando
    ,
    Geophrey Mbatta
    DOI: 10.1061/JTEPBS.TEENG-7803
    Publisher: ASCE
    Abstract: Pedestrian safety is a critical societal concern, especially in low-income countries, as pedestrian crashes increase worldwide. Among other road users, pedestrians are most vulnerable to severe injury and mortality in traffic crashes. Several studies have examined factors associated with the severity of pedestrian crashes in developed countries. However, there are limited comprehensive studies on pedestrian safety in low-income countries. Therefore, this study explored factors influencing the severity of pedestrian crashes in Dar es Salaam, Tanzania, using a Bayesian logit model. The analysis involved 1,711 pedestrian crashes collected manually from the police logbook from 2015 through 2021. The results showed that young pedestrians (35 years and younger) are likely to sustain fatal injuries when involved in a crash. A higher fatality risk was also observed for pedestrian–vehicle crashes that occurred during winter and on streets. Crashes occurring at locations with wider medians and involving older pedestrians (55+) had a lower probability of a fatality. Identifying these risk factors for pedestrians provides valuable inputs that will assist with developing a comprehensive pedestrian safety action plan.
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      Analyzing Pedestrian Fatality Risk in a Developing Country: Empirical Assessment with Insights from Dar es Salaam, Tanzania

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4296258
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorHenry P. Sawaki
    contributor authorJohn H. Kodi
    contributor authorAngela E. Kitali
    contributor authorEmmanuel Kidando
    contributor authorGeophrey Mbatta
    date accessioned2024-04-27T20:55:33Z
    date available2024-04-27T20:55:33Z
    date issued2023/09/01
    identifier other10.1061-JTEPBS.TEENG-7803.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296258
    description abstractPedestrian safety is a critical societal concern, especially in low-income countries, as pedestrian crashes increase worldwide. Among other road users, pedestrians are most vulnerable to severe injury and mortality in traffic crashes. Several studies have examined factors associated with the severity of pedestrian crashes in developed countries. However, there are limited comprehensive studies on pedestrian safety in low-income countries. Therefore, this study explored factors influencing the severity of pedestrian crashes in Dar es Salaam, Tanzania, using a Bayesian logit model. The analysis involved 1,711 pedestrian crashes collected manually from the police logbook from 2015 through 2021. The results showed that young pedestrians (35 years and younger) are likely to sustain fatal injuries when involved in a crash. A higher fatality risk was also observed for pedestrian–vehicle crashes that occurred during winter and on streets. Crashes occurring at locations with wider medians and involving older pedestrians (55+) had a lower probability of a fatality. Identifying these risk factors for pedestrians provides valuable inputs that will assist with developing a comprehensive pedestrian safety action plan.
    publisherASCE
    titleAnalyzing Pedestrian Fatality Risk in a Developing Country: Empirical Assessment with Insights from Dar es Salaam, Tanzania
    typeJournal Article
    journal volume149
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-7803
    journal fristpage04023081-1
    journal lastpage04023081-11
    page11
    treeJournal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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