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    Influence Factors Analysis for Wrong-Way Driving Behavior in Parking Lots

    Source: Journal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009::page 04023084-1
    Author:
    Hepeng Chen
    ,
    Yongxing Li
    ,
    Yanyan Chen
    ,
    Chen Li
    ,
    Jifu Guo
    ,
    Ngoko Chinkam Olivier
    DOI: 10.1061/JTEPBS.TEENG-7858
    Publisher: ASCE
    Abstract: Parking problems in garages are rising with the expansion of garage scale, which makes the parking process more challenging for drivers. Driving the wrong way in parking lots is a regular occurrence, and it may cause harmful phenomena such as vehicle scratches, road congestion, and extra carbon emissions. Drivers’ wrong-way driving (WWD) behavior in parking lots needs to be studied to improve parking efficiency and safety. In this regard, a subjective questionnaire was designed, including the WWD scale, attitude scale, risk perception scale, legal knowledge scale, existing type-A behavior pattern (TABP) scale, and driver skills scale, and 292 valid samples were obtained for analysis. The reliability and validity of the scales were verified, and a structural equation model (SEM) was established to analyze the effects of TABP, attitude, risk perception, driver skills, and legal knowledge on WWD. The results indicated that the correlative relation between TABP and safety motivation is weak, but TABP affects drivers’ attitudes and risk perception (they may affect WWD), and attitudes towards WWD and breaking the rules both affect drivers’ WWD behavior. Drivers’ driving skill and legal knowledge have no relationship with WWD in parking lots. These findings provide a theoretical basis for optimizing facilities and formulating policies for garages.
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      Influence Factors Analysis for Wrong-Way Driving Behavior in Parking Lots

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293172
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorHepeng Chen
    contributor authorYongxing Li
    contributor authorYanyan Chen
    contributor authorChen Li
    contributor authorJifu Guo
    contributor authorNgoko Chinkam Olivier
    date accessioned2023-11-27T22:57:23Z
    date available2023-11-27T22:57:23Z
    date issued6/23/2023 12:00:00 AM
    date issued2023-06-23
    identifier otherJTEPBS.TEENG-7858.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293172
    description abstractParking problems in garages are rising with the expansion of garage scale, which makes the parking process more challenging for drivers. Driving the wrong way in parking lots is a regular occurrence, and it may cause harmful phenomena such as vehicle scratches, road congestion, and extra carbon emissions. Drivers’ wrong-way driving (WWD) behavior in parking lots needs to be studied to improve parking efficiency and safety. In this regard, a subjective questionnaire was designed, including the WWD scale, attitude scale, risk perception scale, legal knowledge scale, existing type-A behavior pattern (TABP) scale, and driver skills scale, and 292 valid samples were obtained for analysis. The reliability and validity of the scales were verified, and a structural equation model (SEM) was established to analyze the effects of TABP, attitude, risk perception, driver skills, and legal knowledge on WWD. The results indicated that the correlative relation between TABP and safety motivation is weak, but TABP affects drivers’ attitudes and risk perception (they may affect WWD), and attitudes towards WWD and breaking the rules both affect drivers’ WWD behavior. Drivers’ driving skill and legal knowledge have no relationship with WWD in parking lots. These findings provide a theoretical basis for optimizing facilities and formulating policies for garages.
    publisherASCE
    titleInfluence Factors Analysis for Wrong-Way Driving Behavior in Parking Lots
    typeJournal Article
    journal volume149
    journal issue9
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-7858
    journal fristpage04023084-1
    journal lastpage04023084-9
    page9
    treeJournal of Transportation Engineering, Part A: Systems:;2023:;Volume ( 149 ):;issue: 009
    contenttypeFulltext
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