Smart City Gnosys

Smart city article details

Title Autonomous Vehicles Preference Study With The Consideration Of Motorcyclists In Taiwan
ID_Doc 11520
Authors Chen L.-W.; Chuang C.-H.
Year 2021
Published ACM International Conference Proceeding Series
DOI http://dx.doi.org/10.1145/3512576.3512674
Abstract Utilizing information and communication technologies (ICT) for the smart city is considered as a management strategy for growing population and rapid urbanization situation. Autonomous vehicles (AVs) will play a role to improve road safety, relieve congestion, save energy, and reduce air pollution. Moreover, it would be also a solution to solve the first mile and last-mile problem in transportation. Shared autonomous vehicle (SAV) is a service for public transportation, or paratransit system. Once SAV service is applied in an urban city, the new mode will have new interactions with existing modes. Besides, an emerging technology breakthrough is accompanied by user adoption and reliability. This paper proposes a demand-supply conceptual framework for studying the possible operations of SAVs. The demand side is modeled through multinomial logit models (MNL) based on a survey. The MNL is used to analyze travelers' preferences for SAVs and Biogeme software to estimate parameters. The results show that SAV is more likely to be used by people who use public transit frequently, have a ride-sharing experience, and are female. © 2021 ACM.
Author Keywords Mode Choice; Smart City, Shared Autonomous Vehicles, Multinomial Logit Model; Stated Preference Method


Similar Articles


Id Similarity Authors Title Published
11475 View0.862Zajc I.; Sernec R.; Lenart G.; Pucihar A.Autonomous Mobility And User Perception: A Case Of City As A Lab In Slovenia2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings (2020)
49792 View0.857Richter M.A.; Hagenmaier M.; Bandte O.; Parida V.; Wincent J.Smart Cities, Urban Mobility And Autonomous Vehicles: How Different Cities Needs Different Sustainable Investment StrategiesTechnological Forecasting and Social Change, 184 (2022)
11512 View0.857Ng V.; Kim H.M.Autonomous Vehicles And Smart Cities: A Case Study Of SingaporeSmart Cities for Technological and Social Innovation: Case Studies, Current Trends, and Future Steps (2020)
8632 View0.855Aldakkhelallah A.A.A.; Todorovic M.; Simic M.An Investigation In Autonomous Vehicles AcceptanceSmart Innovation, Systems and Technologies, 359 SIST (2023)
11477 View0.853Alotaibi E.T.; Alhuzaymi T.M.; Herrmann J.M.Autonomous Mobility On Demand: From Case Studies To Standardized EvaluationFrontiers in Future Transportation, 4 (2023)
11517 View0.853Andrei L.; Luca O.; Răută E.Autonomous Vehicles In Smart Cities: Challenges Pertaining To Autonomous And Connected Transport. The Case Of RomaniaSmart Cities: Lock-in, Path-dependence and Non-linearity of Digitalization and Smartification (2024)
56710 View0.851Ghazi A.; Yadav D.; Muthusamy S.; Mishra O.P.; Loganathan A.K.The Scope And Adaptation Strategy For Autonomous Vehicles From The Perspective Of Indian Smart CityEnergy Sources, Part A: Recovery, Utilization and Environmental Effects, 45, 3 (2023)
11518 View0.85Manfreda, A; Ljubi, K; Groznik, AAutonomous Vehicles In The Smart City Era: An Empirical Study Of Adoption Factors Important For MillennialsINTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 58 (2021)