2020
DOI: 10.1016/j.tra.2020.01.020
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Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines

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Cited by 28 publications
(14 citation statements)
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“…A relatively large proportion of the rural inhabitants considered it important to create an environment that would facilitate more ecological behaviour. Infrastructures, such as renewable energy and sustainable mobility, contribute to the attractiveness of rural areas and, thus, to QoL and enable ecological behaviours [48][49][50][51][52]. Focus on changing structures, rather than individual attitudes and behaviour is also demanded in the literature on social and sustainable transitions [53], whereby the importance of the long-term policy, the election and decisions for adequate infrastructure is emphasized [54].…”
Section: Discussionmentioning
confidence: 99%
“…A relatively large proportion of the rural inhabitants considered it important to create an environment that would facilitate more ecological behaviour. Infrastructures, such as renewable energy and sustainable mobility, contribute to the attractiveness of rural areas and, thus, to QoL and enable ecological behaviours [48][49][50][51][52]. Focus on changing structures, rather than individual attitudes and behaviour is also demanded in the literature on social and sustainable transitions [53], whereby the importance of the long-term policy, the election and decisions for adequate infrastructure is emphasized [54].…”
Section: Discussionmentioning
confidence: 99%
“…As previously mentioned, different types of on-demand collective transport services were simulated. The service options largely correspond to approaches found in practice, as currently discussed, or already tested in Europe and overseas see, e.g., [43][44][45][46].…”
Section: Service Optionsmentioning
confidence: 93%
“…Parking policies typically relocate idling AVs, while not deteriorating metrics such as waiting times, traveled distance, and congestion. In graph-theoretic models, effects of parking are captured by additional costs when idling at a node (price of parking) (11,100,101) or via upper bounds on the number of AVs at a node (capacity of parking lots) (48,69,70,74). In queueing-theoretic models, stations are usually assumed to have infinite parking spaces (82).…”
Section: Operational Constraintsmentioning
confidence: 99%