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A Statistical Assessment of Crowdsourced Last-Mile Delivery Solutions in Smart Transportation Systems: Evidence from Saudi Arabia |
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PP: 997-1013 |
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doi:10.18576/jsap/140635
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Author(s) |
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Karim Soliman,
Salah Abunar,
Khaled EL Sakty,
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Abstract |
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| This study investigates the impact of crowdsourced last-mile delivery platforms on smart transportation
performance, perceived traffic congestion, and sustainable urban mobility in Saudi Arabia. Crowdsourced delivery has become the new dynamic last-mile logistics tool that can affect transport system operation, traffic, and sustainability in this case. The paper focuses on the impact of crowdsourced last-mile delivery on smart transportation performance in Saudi Arabia. The research paradigm assumed by the study was quantitative and was based on the analysis of surveys of 300 users and drivers of the crowdsourced delivery services offered in Riyadh, Jeddah, and Dammam. The findings showed that the more contact with crowdsourced delivery systems, the higher the perception of the efficiency of the transportation system. Moreover, the effectiveness of the transportation systems is positively correlated with more perceptions of reduction of congestion and sustainability. Besides, Structural Equation Modeling established that the connection between the use of crowdsourced delivery platforms and sustainability outcomes is partially mediated by the efficiency of the transportation system, which moderates the relationship. Moreover, the high frequency of using crowdsourcing delivery platforms was also related to a positive attitude towards the exposure of environmental benefits and city mobility. The research suggested that the implementation of crowdsourced delivery services induces the design of smarter and more sustainable urban delivery systems in Saudi Arabia, assuming that the services are accompanied by sufficient digital infrastructure and align with the
Saudi Vision 2030 and existing smart transportation initiatives. |
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