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T-SCORE Project M1-Multi-Modal Optimization: Development of Optimization Frameworks on On-Demand Multimodal Transit Systems
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2023-03-01
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[PDF-9.04 MB]
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Alternative Title:Multi-Modal Optimization [Project Title from Cover]
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Edition:Final Report Aug 2020-Jan 2023
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Abstract:Over the last decades, urban areas have experienced sustained population growth, which has transformed into a significant increase in personally-owned vehicles. Investment in public transit is often expected to make positive impacts on traffic congestion and air quality. Despite the fact that efficient systems such as light rail and Bus Rapid Transit (BRT) are developed in large cities, one of the main challenges facing transit agencies is the first-mile and last-mile problem. On- Demand Multimodal Transit Systems (ODMTS) are transit systems that tightly integrate fixed transit routes and on-demand shuttles (Arthur et al., 2019; Auad et al., 2021). The fixed routes usually consist of rail lines and bus lines that provide high frequency services on key corridors, providing economy of scale and addressing congestion issues. On-demand shuttles are employed to overcome the first-mile and last-mile problem. The shuttles generally serve local demand by delivering passengers from/to trip origins/destinations to/from nearby hubs. This project explores the viabilities of integrating the ODMTS concept with a highly-developed citywide transit system. In particular, the project first extends the optimization framework proposed by Dalmeijer and Van Hentenryck (2020) by introducing novel features such as walking transfer and weighted travel time. This project then considers two systematic case studies conducted in San Francisco and Salt Lake City with data simulated by the microsimulation platform BEAM. These two case studies are unique to their counterparts since all origin-destinations pairs are residential locations or points of interests, instead of transit stops. Together, the new features and the case studies provide more realistic assumptions and lead to interesting computational results. The results demonstrate how to seamlessly integrate the ODMTS concept to extend an existing transit network to address the firstmile and last-mile problem and provide a reduced overall operating cost and passenger travel time.
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