2022
DOI: 10.1016/j.trd.2022.103376
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Connecting metros with shared electric scooters: Comparisons with shared bikes and taxis

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Cited by 15 publications
(9 citation statements)
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“…For example, e-scooters are frequently used for short-distance trips. E-scooters can be an option for connecting to metro stations ( 10 ). With their portable and dockless characteristics, e-scooters can be ridden in various places, which brings new challenges in operations and safety concerns ( 11 , 12 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, e-scooters are frequently used for short-distance trips. E-scooters can be an option for connecting to metro stations ( 10 ). With their portable and dockless characteristics, e-scooters can be ridden in various places, which brings new challenges in operations and safety concerns ( 11 , 12 ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Liu and Lin ( 31 ) conducted a multinomial logit model to clarify the similarities and differences between scooter sharing and bike sharing use with regard to the link between built environments and spatiotemporal patterns. Ma et al ( 32 ) developed a multinomial logistic regression model to uncover how the mode choices to/from metro stations vary in different contexts and further explored the integration of shared e-scooters with public transportation systems. Reck et al ( 33 ) combined GPS tracks, booking data, and survey data to propose a mixed logit model that discusses the mode choice behavior between different personal micromobility.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, the implementation of shared bicycles in some cities is relatively unsatisfactory due to the poor accessibility of the docking stations [36,37]. Other travel modes such as bus, car, and taxi, which devote to a portion of feeder trips for metro access and egress, are also important [5,16,38,39]. But predefned routes and fxed schedules constrain bus systems.…”
Section: Te Feeder Mode Formentioning
confidence: 99%
“…With the facts mentioned above, the large volume of taxi GPS data has attracted more researchers to study the patterns and infuencing factors of taxi activities. But only a few studies investigated taxi-metro integrated use [16,[47][48][49]. Ni and Chen found dockless shared bikes and taxis were the main feeder modes for metro access/egress due to high fexibility and accessibility and compared the temporal-spatial distribution of two modes as feeder mode, suggesting people living in central areas with high housing prices and well-developed arterial roads tending to take taxis during evening peak period [39].…”
Section: Taxi-metro Integrated Use and Its Relationship With Builtmentioning
confidence: 99%
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