Shared E-Scooter Service Providers with Large Fleet Size Have a Competitive Advantage: Findings from E-Scooter Demand and Supply Analysis of Nashville, Tennessee

Shah, Nitesh R.; Ziedan, Abubakr; Brakewood, Candace; Cherry, Christopher

doi:10.2139/ssrn.4167543

Cited by 2 publications

(6 citation statements)

References 14 publications

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“…For shared e-scooters, for example, we find an average fleet elasticity of 0.83, meaning that demand is inelastic to the fleet size. The inelasticity of SSS and BSS demand has already been underlined in the literature (Lee et al, 2021;Shah et al, 2022;Mclean et al, 2021;Shen et al, 2018). Our short literature review reveals, however, that different studies find different fleet elasticities.…”

Section: Discussionmentioning

confidence: 54%

“…By using similar data from Nashville, USA, Shah et al (2022) find a lower fleet elasticity of 0.55 (Std = 0.02 and p − value < 0.01). The authors define the size of the fleet as the number of e-scooter-hours deployed per square mile.…”

Section: Fleet Size Implicationsmentioning

confidence: 90%

“…Operators with larger fleets have a higher elasticity than operators with smaller fleets. Results also show that this elasticity differs between weekdays and weekends and according to the built environment in each zone (Shah et al, 2022). Mclean et al (2021) estimate the fleet elasticity of SSS demand in Calgary, Canada.…”

Section: Fleet Size Implicationsmentioning

confidence: 96%

“…Previous research has already underlined the importance of the size of the fleet to the adoption and use of SMMS (Krauss et al, 2022;Lee et al, 2021;Shah et al, 2022;Mclean et al, 2021;Kabra et al, 2020;de Chardon et al, 2017). The availability and accessibility, in space and time, of these services are dependent on the size of their fleet.…”

Section: Fleet Size Implicationsmentioning

confidence: 99%

“…In transportation economics, research on demand elasticity has been mainly concerned with car and public transit (Litman, 2017;Hanly et al, 2002), and rarely with new mobility services, and even less with shared micromobility (Shah et al, 2022;Lee et al, 2021). The introduction of these services is relatively recent and their market is constantly evolving.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France

Manout

Diallo

Gloriot

2023

Preprint

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In many cities, shared micromobility services (SMMS) have become popular. These services contribute to the popularity of car-alternative mobility by promoting the use of micro-vehicles. Bike-sharing and e-scooter-sharing systems are examples of these services. Despite their potential, the share of SMMS is still marginal. To unlock their full potential, policymakers and service providers need to comprehend the wider implications of their strategies on the adoption, use, and profitability of these services. This paper investigates the implications on travel demand, use patterns, and business profit of two strategic decisions: the size of the fleet and the pricing of shared bikes and e-scooters. This research relies on an agent-based transport simulation framework and trip records of shared bike and e-scooter users from the city of Lyon, France. The results show that despite their actual marginal share, SMMS have a non-negligible growth potential in Lyon. This potential is actually unfulfilled due to sub-optimal pricing and fleet size strategies. More optimal strategies from the point of view of service providers and customers are discussed in the paper. These findings can be generalized to other cities and shared micromobility services. They can also interest policymakers and service providers in the design and operation of successful and efficient SMMS.

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Section: Discussionmentioning

confidence: 54%

Section: Fleet Size Implicationsmentioning

confidence: 90%

Section: Fleet Size Implicationsmentioning

confidence: 96%

Section: Fleet Size Implicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France

Manout

Diallo

Gloriot

2023

Preprint

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Case Study on the Traffic Collision Patterns of E-Scooter Riders

Das

Hossain

Rahman

et al. 2023

Transportation Research Record: Journal of the Transportation R

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In recent years, nonmotorized transportation and micromobility have become increasingly popular in urban areas, and bike sharing and e-scooter usage are more affordable and accessible than ever before. However, users of these modes face several significant challenges, including risky riding behavior and the danger of being involved in collisions or near collisions with other motorists. Because of a lack of relevant data sets, it is difficult to comprehend the underlying causes of e-scooter collisions. This study collected narrative descriptions of 24 e-scooter collisions that occurred in Texas in 2021. The perceptual cycle model (PCM) was applied to these narrative crash reports to analyze the causation patterns of the crash occurrences. The PCM mechanism was applied independently to fatal and injury collisions, and the results were then compared with Haddon’s matrix to develop policy recommendations. The novel approach proposed in this study can be widely utilized by road safety professionals to understand the causal relationships behind other key road safety issues.

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Shared E-Scooter Service Providers with Large Fleet Size Have a Competitive Advantage: Findings from E-Scooter Demand and Supply Analysis of Nashville, Tennessee

Cited by 2 publications

References 14 publications

Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France

Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France

Case Study on the Traffic Collision Patterns of E-Scooter Riders

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