Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights

Abouelela, Mohamed; Chaniotakis, Emmanouil; Antoniou, Constantinos

doi:10.1016/j.tra.2023.103602

Cited by 17 publications

(2 citation statements)

References 57 publications

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“…For determining the accuracy of these models, calculating the local goodness of fit is a good practice [35]. Abouelela et al (2023) used a different approach, zero-inflated negative binomial regression models (ZINB), in their research to calculate the influence factor of different independent variables regarding e-scooter demand and to solve the excess zero data problems in the previous study methods [33]. McKenzie (2019) used cosine similarity analysis in his study to find out the similarities in e-scooter trips on different days of the week.…”

Section: Literature Reviewmentioning

confidence: 99%

Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants

Hasan,

Sisiopiku

2024

Future Transportation

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Shared micromobility has gained significant attention in the field of transportation engineering in recent years as an environmentally friendly, convenient, and easily accessible transportation mode. Like other medium-sized cities, Birmingham, Alabama implemented a shared micromobility pilot program in 2021 that captured the attention of local travelers. This study examined shared e-scooter usage and associated travel patterns in Birmingham using 2021–2022 field data. From these data, ArcGIS maps were used to showcase trip origins and destinations. To gain a further understanding of e-scooter travel patterns in the study area, zip code and block group densities were calculated. Additionally, a negative binomial regression model was constructed to identify determinants of shared e-scooter trips. The analysis results showed that the usage of shared e-scooters was the highest during the nighttime (9109 trips between 9 p.m. to 10 p.m.), on weekends (20,077 trips on Saturday), and in the fall season (a total of 29,024 trips). Furthermore, the research findings indicated that shared e-scooters experienced their highest utilization rates in areas with a higher proportion of educated and higher-income individuals. These findings suggest that travelers’ mode choice related to the use of micromobility modes is influenced by environmental and demographic factors. Overall, this case study offers valuable contributions to the understanding of the role of shared e-scooters in Birmingham’s transportation landscape and can guide transportation authorities in other medium-sized cities in their efforts to plan for micromobility options.

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Section: Literature Reviewmentioning

confidence: 99%

Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants

Hasan,

Sisiopiku

2024

Future Transportation

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“…Interest in scooters has also translated into an increasing number of scientific papers and research on the development of scooter-sharing systems. Since the systems have been on the market for only five years, the research covered completely basic issues from the principles of operation of the systems [17], popularization of services among the public [18], optimization of the distribution of scooters in cities [19], their impact on the environment [20], or life cycle assessment [21]. More advanced aspects related to a broader perspective on vehicle operation in cities such as the development of shared scooters business models [22], service loyalty [23], economic models [24], policies and regulations [25], management [26], or the impact of the COVID-19 pandemic on scooter sharing systems [27] were considered.…”

Section: Introductionmentioning

confidence: 99%

Perception of Shared Electric Scooters: A Case Study from Poland

Turoń,

Kubik,

Folęga

et al. 2023

Sustainability

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Scooter-sharing services, that is, short-term rental of electric scooters, have been gaining popularity among last-mile transport solutions in recent years, winning both their supporters and opponents. Recognizing the different approaches of societies to scooters in the world, the objective of this work was to determine the perception of scooter-sharing services in Poland, that is, the fifth largest European market in terms of micromobility. The study was based on survey data conducted using the CAWI method among the points of active users of scooter-sharing systems. The article presents the results regarding the perception of electric scooters in terms of safety, use, operation, education, and elements of communication behavior. The results indicate that the respondents perceive the Polish market of sharing electric scooters well. They believe that riding a scooter is safe (despite pointing out numerous technical faults that may indicate insufficient technical knowledge about what they can mean for users), and they are against mobility hubs and disrupting free systems. Interestingly, respondents emphasize the need to modernize the regulations, the need for penalties for damage to vehicles, and the need to reduce fees. The results provide valuable clues on how to manage the new electric mobility. They also indicate a different approach of Polish users to the issue of perceiving scooters in relation to other European societies (such as France or Denmark), which is a valuable clue for modeling transport behavior.

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Psychological factors impacts on carsharing use

Abouelela,

Al Haddad,

Antoniou

2024

Transportation

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Carsharing services have a significant potential for improving urban mobility by increasing the independence and freedom of travel and reducing traffic externalities. Although carsharing has been used for over a decade, several aspects need further investigation, such as the impact of user’s psychological factors on service use, as well as the factors impacting users’ choices between different carsharing operators, in particular their preferences for different payment schemes, and their perceptions of the operators’ application rating. Accordingly, four hybrid choice models (HCM) were estimated to investigate factors impacting (i) the knowledge about carsharing services, (ii) carsharing adoption, (iii) the shift from other modes to carsharing, (iv) the choice between carsharing operators with different payment schemes, using a large survey sample (N = 1044 responses 9469 SP observation) from Munich, Germany. The models showed the significance of sociodemographics, such as income level, education level, household size, employment status, ownership of a bike, access to a car, the availability of a driving license, and public transport subscription-based tickets on the carsharing use directly and indirectly, and four psychological factors encompassing different personality traits (i.e., adventurous), travel behavior, and attitudes were found to be significant in the various models; the latter covered service-related attitudes (perceived carsharing app importance) and travel behavior attitudes or profiles (frequent public transport user and frequent shared micromobility user). This research raises questions regarding the inequitable use of carsharing, the impacts of mobile applications on using the service, and the potential of integrating carsharing in mobility as a Service platforms to increase the potential for multimodality.

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Understanding the landscape of shared-e-scooters in North America; Spatiotemporal analysis and policy insights

Cited by 17 publications

References 57 publications

Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants

Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants

Perception of Shared Electric Scooters: A Case Study from Poland

Psychological factors impacts on carsharing use

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