Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C.

Younes, Hannah; Zou, Zhenpeng; Wu, Jiahui; Baiocchi, Giovanni

doi:10.1016/j.tra.2020.02.021

Cited by 111 publications

(84 citation statements)

References 27 publications

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“…One recent study offers insights on trip differences between the station-based bikeshare and dockless operations in Washington, D.C. ( 16 ). Younes et al ( 16 ) analyzed the general bikeshare feed specification (GBFS) data from dockless vendors and historical station-based bikeshare data and compared the temporal determinants of micromobility ridership. The study found that dockless users were less sensitive to weather and more sensitive to gas prices than station-based users.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The histograms suggest that e-scooter trips are mostly short in distance and duration, with a few exceptions of longer trips. Younes et al ( 16 ) compared dockless trips with CaBi trips and found that the median distance of a dockless trip was about one-third shorter than a CaBi trip. The median trip duration was similar to that of a CaBi trip, and the average speed was similar to a casual CaBi trip.…”

Section: E-scooter Share Datamentioning

confidence: 99%

See 1 more Smart Citation

Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.

Zou

Younes

Erdoğan

et al. 2020

Transportation Research Record

Self Cite

100

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The proliferation of micromobility, evolving from station-based to dockless bikeshare programs, has dramatically accelerated since 2017 with an influx of investment from the private sector to a new product, dockless e-scooter share. As an alternative to pedal bikes, e-scooters have become widespread across the U.S.A. owing to the unprecedented convenience they bring to commuters and travelers with electric-power propulsion and freedom from docking stations. In cities like Washington, D.C., e-scooter share can play an important role to support transportation sustainability and boost accessibility in less-connected communities. This study takes advantage of publicly available but not readily accessible e-scooter share data in Washington, D.C. for an initial view of the travel patterns and behaviors related to this new mode. The study adopted an innovative approach to scrape and process general bikeshare feed specification data in real time for e-scooters. Not only locational time series data, but also e-scooter share trip trajectories were generated. The trip trajectory data provide a unique opportunity to examine travel patterns at the street link level—a level of analysis that has not been reached before for e-scooter share to the authors’ knowledge. The paper first provides descriptive statistics on e-scooter share trips, followed by an exploratory analysis of trip trajectories conjoined with street link level features. Important insights on e-scooter route choice are derived. Lastly, policy and regulatory implications in relation to e-scooter facility design and safety risks are discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Section: E-scooter Share Datamentioning

confidence: 99%

Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.

Zou

Younes

Erdoğan

et al. 2020

Transportation Research Record

Self Cite

100

View full text Add to dashboard Cite

show abstract

“…The reduction in publications and citations in 2020 is a reflection of the search being conducted mid-year. Powered microvehicles offer a range of transportation alternatives, and have the potential to change the way that people travel, particularly in urban environments [12,13]. Proponents of micromobility highlight that they provide quick, convenient travel and the ability to fill the "last-mile" gap within public transport systems [14,15] or offer an alternative to private transport for short trips [16,17].…”

Section: Resultsmentioning

confidence: 99%

“…The issue of exposure data is particularly interesting for powered micromobility as there have been difficulties obtaining this information for microvehicles [60]. This barrier can be somewhat overcome with powered-microvehicles, particularly those used in shared schemes as they are typically equipped with technology to monitor trip characteristics [13].…”

Section: Discussionmentioning

confidence: 99%

A Scientometric Review of Powered Micromobility

O’Hern

Estgfaeller

2020

Sustainability

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Micromobility is an emerging field of transportation, referring to trips undertaken by a range of microvehicles. Microvehicles encompass both traditional and emerging types of light vehicles from conventional bicycles and powered-two wheelers, through to e-bikes and e-scooters, e-skateboards and “hoverboards”. The recent uptake in powered microvehicles emphasizes the need to understand the knowledge domain of micromobility research. This paper summarises the research status by identifying main contributors to and evolutionary trends in the field. The study applied scientometric analysis techniques to review 474 articles published between 1991 and 2020. The search on Thomson Reuter’s Web of Science database was guided by the Society of Automotive Engineers (SAE) common vocabulary for powered micromobility. Results show a proliferation of research in the field of powered micromobility since 2012, which demonstrates that the growth in research is occurring alongside the increased availability of microvehicles and trips being made using microvehicles. A broad range of research topics including user behaviour, vehicle technology, planning, policy, health and safety were identified with the latter two found to be the most studied areas. Findings suggest many potential benefits of using micromobility and that the field will continue to grow, spurred by the popularity of shared e-scooter schemes. Greater collaboration in the field is desirable to broaden the dissemination of knowledge.

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“…Although the Coronavirus disease 2019 (COVID-19) pandemic is restructuring the sector and affecting many companies and cities, currently, there are nearly 80 operators worldwide, with around 9 million registered users in over 120 cities [8]. The rapid growth of these micro-mobility systems has major implications for political and urban planning decisions related to mobility and the choice of transportation [9]. Shared micro-mobility services offer benefits for the city and its users [10].…”

Section: Introductionmentioning

confidence: 99%

Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

Pérez-Fernández

Palomares

2021

IJGI

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Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

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Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C.

Cited by 111 publications

References 27 publications

Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.

Exploratory Analysis of Real-Time E-Scooter Trip Data in Washington, D.C.

A Scientometric Review of Powered Micromobility

Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

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