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Browsing by Author "Yang, Chenxuan"

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    Electric Bicyclist Injury Severity during Peak Traffic Periods: A Random-Parameters Approach with Heterogeneity in Means and Variances
    (MDPI, 2021) Zhu, Tong; Zhu, Zishuo; Zhang, Jie; Yang, Chenxuan; Chang'an University; Ministry of Transport of the People's Republic of China; University of Alabama Tuscaloosa
    Accidents involving electric bicycles, a popular means of transportation in China during peak traffic periods, have increased. However, studies have seldom attempted to detect the unique crash consequences during this period. This study aims to explore the factors influencing injury severity in electric bicyclists during peak traffic periods and provide recommendations to help devise specific management strategies. The random-parameters logit or mixed logit model is used to identify the relationship between different factors and injury severity. The injury severity is divided into four categories. The analysis uses automobile and electric bicycle crash data of Xi'an, China, between 2014 and 2019. During the peak traffic periods, the impact of low visibility significantly varies with factors such as areas with traffic control or without streetlights. Furthermore, compared with traveling in a straight line, three different turnings before the crash reduce the likelihood of severe injuries. Roadside protection trees are the most crucial measure guaranteeing riders' safety during peak traffic periods. This study reveals the direction, magnitude, and randomness of factors that contribute to electric bicycle crashes. The results can help safety authorities devise targeted transportation safety management and planning strategies for peak traffic periods.
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    Envisioning Urban Air Mobility in Small and Medium-Sized Urban Areas in the United States
    (University of Alabama Libraries, 2023) Yang, Chenxuan; Liu, Jun
    Urban Air Mobility (UAM) represents a revolutionary innovation that utilizes low-altitude urban space to provide air transportation. While UAM offers numerous advantages and holds promise as a solution to traffic congestion, it faces various constraints, including public acceptance, economic considerations, and management challenges. While extensive research has explored the integration of UAM into mobility systems for large metropolitan areas, the potential benefits it could bring to smaller urban areas with populations under 350,000 have been under-discussed. This dissertation research aims to assess the feasibility and viability of implementing UAM in small and medium-sized urban areas. The first major study in this dissertation involves a national survey to investigate Americans' willingness to pay for URAM services and their preferences when faced with commutes that exceed a certain duration. The second study evaluates the impact of UAM on over 300 small and medium-sized urban areas by comparing the travel accessibility of existing road-based regional transportation systems with hypothetical UAM-integrated systems. These hypothetical UAM networks interconnect vertiports within regions, enabling travelers to reach their destinations via Vertical Take-Off and Landing (VTOL) aircrafts after reaching the nearest vertiport by ground transportation. The third study explores an innovative intermodal mobility system that integrates Shared Autonomous Vehicles (SAVs) and VTOLs within the UAM framework. Agent-based simulations are employed to assess the feasibility and viability of this system in small and medium-sized urban areas. This dissertation sheds light on the benefits and trade-offs associated with UAM in small and medium-sized urban areas. It serves as a valuable resource for evaluating the practicality of intermodal UAM services and informs policies related to the planning and implementation of UAM services in the United States.

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