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Discussion | Open Access

On-demand automated bus services: Opportunities and challenges

Huizhao Tua, Maria Attardb( ), Ying Yangc, Karyn Scerrib, Adrian Muscatd, Hao Lia
College of Transportation Engineering, Tongji University, Shanghai, 200000, China
Institute for Climate Change and Sustainable Development, University of Malta, Msida, MSD 2080, Malta
School of Management, Shanghai University, Shanghai, 200000, China
Department of Communications and Computer Engineering, University of Malta, Msida, MSD 2080, Malta
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References

 

Attard, M., Camilleri, M.P.J., Muscat, A., 2020. The technology behind a shared demand responsive transport system for a university campus. Res. Transp. Bus. Manag. 36, 100463.
Crossref Google Scholar
 

Bie, Y., Ji, J., Wang, X., Qu, X., 2021. Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption. Computer Aided Civil Eng. 36, 1530–1548.
Crossref Google Scholar
 

Buics, L., Prayogo, A., 2023. Technological and environmental challenges of on-demand transportation systems: a systematic literature review. Chemical Engineering Transactions 107, 421–426.
Google Scholar
 

Creutzig, F., Roy, J., Lamb, W., Azevedo, I., de Bruin, W.B., Dalkmann, H., et al., 2018. Towards demand-side solutions for mitigating climate change. Nat. Clim. Change 8, 268–271.
Crossref Google Scholar
 

Davison, L., Enoch, M., Ryley, T., Quddus, M., Wang, C., 2014. A survey of demand responsive transport in Great Britain. Transport Pol. 31, 47–54.
Crossref Google Scholar
 

Gilibert, M., Ribas, I., Maslekar, N., Rosen, C., Siebeneich, A., 2019. Mapping of service deployment use cases and user requirements for an on-demand shared ride-hailing service: MOIA test service case study. Case Stud. Transp. Policy 7, 598–606.
Crossref Google Scholar
 

Kassens-Noor, E., Kotval-Karamchandani, Z., Cai, M., 2020. Willingness to ride and perceptions of autonomous public transit. Transport. Res. Part A Policy Pract. 138, 92–104.
Crossref Google Scholar
 

Shen, J., Liu, Q., Ye, Z., Jiang, W., Ma, C., 2023. Autonomous bus services: current research status and future recommendations. Digital Transportation and Safety 2, 229–240.
Crossref Google Scholar
 

Wu, M., Yu, C., Ma, W., An, K., Zhong, Z., 2022. Joint optimization of timetabling, vehicle scheduling, and ride-matching in a flexible multi-type shuttle bus system. Transport. Res. C Emerg. Technol. 139, 103657.
Crossref Google Scholar
 

Yan, Y., Zhong, S., Tian, J., Li, T., 2022. Continuance intention of autonomous buses: an empirical analysis based on passenger experience. Transport Pol. 126, 85–95.
Crossref Google Scholar
Communications in Transportation Research
Volume 4 Issue 4,
December 2024
Article number: 100134
DOI: 10.1016/j.commtr.2024.100134
Cite this article:
Tu H, Attard M, Yang Y, et al. On-demand automated bus services: Opportunities and challenges. Communications in Transportation Research, 2024, 4(4): 100134. https://doi.org/10.1016/j.commtr.2024.100134

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Received: 21 June 2024
Accepted: 04 July 2024
Published: 27 July 2024
© 2024 The Author(s).

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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