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    Public Adoption of Smart Transportation: A Technology Acceptance Model

    Source: Journal of Urban Planning and Development:;2025:;Volume ( 151 ):;issue: 003::page 04025022-1
    Author:
    Aqsa Mehmood
    ,
    Ali Tahir
    ,
    Salman Atif
    ,
    Ejaz Hussain
    ,
    Hafiz Syed Hamid Arshad
    ,
    Farrukh Baig
    DOI: 10.1061/JUPDDM.UPENG-5319
    Publisher: American Society of Civil Engineers
    Abstract: Smart transportation infrastructure improves citizens’ lifestyles and overall public transportation quality. Adopting information and communication technology (ICT) applications for developing innovative, sustainable, and smart cities has become a new model for municipal cooperation between governments and corporations. Smart cities contribute to social stability and economic prosperity by encouraging and enabling corporations to invest their resources and expertise in the cities and provide more prosperity and contentment for their citizens. The hypotheses in this study were derived using an extension of the technology acceptance model (TAM). Data were collected from 500 citizens of Lahore, Punjab, Pakistan using random sampling. Partial least square structural equational modeling (PLS–SEM) was used to analyze the data. The findings indicate that social media influences the perceived ease of use (PEU), perceived usefulness (PU), perceived security risks (PSR), and trust, which have a significant positive effect on the adoption of ICT-based transportation systems. In addition, an individual’s previous habits positively contribute to adopting ICT-based transportation systems. This study provides helpful insights to develop marketing strategies and transportation policies to expedite public adoption of ICT-based transportation infrastructure.
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      Public Adoption of Smart Transportation: A Technology Acceptance Model

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    contributor authorAqsa Mehmood
    contributor authorAli Tahir
    contributor authorSalman Atif
    contributor authorEjaz Hussain
    contributor authorHafiz Syed Hamid Arshad
    contributor authorFarrukh Baig
    date accessioned2025-08-17T22:24:12Z
    date available2025-08-17T22:24:12Z
    date copyright9/1/2025 12:00:00 AM
    date issued2025
    identifier otherJUPDDM.UPENG-5319.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306888
    description abstractSmart transportation infrastructure improves citizens’ lifestyles and overall public transportation quality. Adopting information and communication technology (ICT) applications for developing innovative, sustainable, and smart cities has become a new model for municipal cooperation between governments and corporations. Smart cities contribute to social stability and economic prosperity by encouraging and enabling corporations to invest their resources and expertise in the cities and provide more prosperity and contentment for their citizens. The hypotheses in this study were derived using an extension of the technology acceptance model (TAM). Data were collected from 500 citizens of Lahore, Punjab, Pakistan using random sampling. Partial least square structural equational modeling (PLS–SEM) was used to analyze the data. The findings indicate that social media influences the perceived ease of use (PEU), perceived usefulness (PU), perceived security risks (PSR), and trust, which have a significant positive effect on the adoption of ICT-based transportation systems. In addition, an individual’s previous habits positively contribute to adopting ICT-based transportation systems. This study provides helpful insights to develop marketing strategies and transportation policies to expedite public adoption of ICT-based transportation infrastructure.
    publisherAmerican Society of Civil Engineers
    titlePublic Adoption of Smart Transportation: A Technology Acceptance Model
    typeJournal Article
    journal volume151
    journal issue3
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/JUPDDM.UPENG-5319
    journal fristpage04025022-1
    journal lastpage04025022-10
    page10
    treeJournal of Urban Planning and Development:;2025:;Volume ( 151 ):;issue: 003
    contenttypeFulltext
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