Civil Engineer, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 15(01), 829-841
Article DOI: 10.30574/wjarr.2022.15.1.0630
Received on 23 May 2022; revised on 25 July 2022; accepted on 27 July 2022
This study investigates strategies for optimizing public transit networks within the framework of smart cities, emphasizing the crucial need for seamless integration across multiple modes of transportation. A multi-modal transportation system—incorporating buses, trains, bicycles, and shared mobility options—offers significant benefits, including improved accessibility, reduced traffic congestion, and minimized environmental impact. Through an analysis of urban transit models and case studies from cities like Tokyo, Singapore, Berlin, and San Francisco, this research highlights both the advantages and challenges in creating a cohesive, data-driven transit ecosystem. Key results reveal that Tokyo, with an Average Travel Speed of 27.5 km/h, Passenger Load Factor of 0.91, and Emission Reduction Rate of 36.4%, exemplifies high efficiency and sustainability, underpinned by advanced infrastructure and real-time data usage. Singapore also scores well, with a Governance Index of 80 and Sustainable Modal Split of 62.5%, showcasing balanced accessibility and eco-friendly practices. Findings indicate that successful integration hinges on robust infrastructure, adaptive technology, and coordinated governance. This research underscores the importance of real-time data utilization to enhance system responsiveness, contributing to an adaptable and sustainable urban transit network that aligns with smart city goals of livability and resilience.
Multi-modal transportation; Urban mobility; Transit system optimization; Sustainability in public transit; Accessibility metrics; Smart city governance
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Rajasekhar Chadalawada. Optimizing public transit networks an exploration of how multi-modal transportation systems can be integrated in smart cities. World Journal of Advanced Research and Reviews, 2022, 15(1), 829-841. Article DOI: https://doi.org/10.30574/wjarr.2022.15.1.0630