Journal of Cycling and Micromobility Research最新文献

{"title":"Exploring the Shared E-Scooter adoption behavior: A case study of Chicago, USA","authors":"Nazmul Arefin Khan ,&nbsp;Krishna Murthy Gurumurthy ,&nbsp;Amir Davatgari ,&nbsp;Abolfazl (Kouros) Mohammadian ,&nbsp;Joshua Auld","doi":"10.1016/j.jcmr.2024.100056","DOIUrl":"10.1016/j.jcmr.2024.100056","url":null,"abstract":"<div><div>In recent years, shared E-Scooters (SES) have emerged as one of the most popular and rapidly growing micromobility modes. To better understand the role of SES in urban mobility, it is critical for policymakers and planners to explore the adoption behavior and usage frequency of Shared E-Scooters. This study jointly estimates the Shared E-Scooters' potential adoption and frequency of usage using a zero-inflated ordered probit (ZIOP) model. This approach can be interpreted as whether an individual considers E-scooters as a travel mode alternative, and if so, how frequently they use E-scooters, which also has a zero occurrence. The study uses a dataset from the City of Chicago. The parameter estimation results suggest that various socio-demographics, built environment, accessibility measures and service characteristics have adequate impacts on E-Scooter adoption and usage frequency. This study also implements the model within the POLARIS agent-based transportation system simulator to examine the potential impact of various E-Scooter deployment scenarios. Results suggest that deploying more Shared E-Scooters in the traffic network not only increases the number of E-Scooter trips, but also helps to decrease the person-miles traveled and person-hour traveled. Insights from this study would be useful for planners and policymakers to develop alternative policy strategies associated with emerging mobility.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100056"},"PeriodicalIF":0.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Roadblocks to ride: Unraveling barriers to access shared micromobility systems in the United States","authors":"Farzana Mehzabin Tuli ,&nbsp;Suman Kumar Mitra","doi":"10.1016/j.jcmr.2024.100055","DOIUrl":"10.1016/j.jcmr.2024.100055","url":null,"abstract":"<div><div>Shared micromobility services are experiencing rapid expansion in the United States and Europe, yet certain user groups, particularly low-income and disadvantaged individuals, face significant barriers related to financial, technical, and cultural factors. This study provides a comprehensive analysis of these barriers within the US by examining bike-sharing, shared e-scooters and programs offering both services. Data was meticulously collected from diverse sources, including official bikeshare provider websites, municipal transportation sites, program reports, local news articles, and mobile applications. This comprehensive data collection methodology provides a thorough representation of 458 shared micromobility systems, encompassing all services available since the inception of shared micromobility in the US. To elucidate the specific barriers faced by users, we employed the K-Prototype clustering methodology, an unsupervised machine learning technique capable of handling datasets with both numerical and categorical features. This approach enabled us to uncover distinct patterns and groupings among shared micromobility services based on these barriers. Our analysis identified four distinct clusters: Cluster 1 faces low technical but high financial barriers; Cluster 2 excels in financial accessibility but struggles with technical barriers; Cluster 3 experiences moderate barriers with progress in reducing financial and technical challenges but still needs improvement; and Cluster 4 encounters high barriers across financial, technical, and cultural dimensions. Additionally, an in-depth analysis of these clusters is performed, considering the percentage share of bikesharing and shared e-scooter services, city sizes, regional distribution, fleet size, launching year, deployment, and operations status. The outcomes of this analysis reveal that larger cities exhibit a higher share of 'moderate barrier' (Cluster 3) systems that are currently active in the pilot phase. In contrast, shared micromobility systems from mid-size, small mid-size, and especially small cities in the US experience 'high barrier' (Cluster 4) issues the most, often with smaller fleet sizes (less than 250). Identifying these clusters is crucial for enabling targeted interventions. Rather than applying a broad, one-size-fits-all approach, policymakers and planners can develop tailored strategies that address the unique challenges of each cluster. This targeted approach ensures that interventions are more effective and equitable, ultimately improving access to shared micromobility services for all users.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Empirical study of bicycle traffic characteristics relevant for microscopic simulation","authors":"Guillermo Pérez Castro ,&nbsp;Fredrik Johansson ,&nbsp;Johan Olstam","doi":"10.1016/j.jcmr.2024.100054","DOIUrl":"10.1016/j.jcmr.2024.100054","url":null,"abstract":"<div><div>Studies of bicycle traffic characteristics are essential for understanding bicyclist behavior and developing suitable microscopic models for traffic simulation. Based on empirical data on real-world bicycle traffic, obtained through video-based data collection techniques, we describe characteristics of free-riding, following, and overtaking that facilitate the simulation of bidirectional bicycle traffic. In total, we analyze data from 195 605 bicyclists across seven bicycle paths in Sweden, with five located in Stockholm and two in Gothenburg. The analysis reveals multimodal distributions of speed and lateral position due to the distinct preferences of bicyclists that vary according to the type of bicycle used. Moreover, speeds are generally highest during morning rush hours at the locations under investigation. Based on wind measurements, we conclude that there is no statistically significant effect on mean free speed from wind speeds in the range of <span><math><mo>±</mo></math></span>3 m/s. The distribution of speed differences between bicyclists at overtakings indicates a broad range of speed disparities among bicyclists, and is significantly influenced by infrastructure design. Furthermore, infrastructure design (path width, horizontal alignment, and presence of fixed objects along the edge) and traffic volumes significantly lateral positioning. Our results demonstrate the inherent heterogeneity in the characteristics of bicyclists, underscoring the need to advance modeling to incorporate these distinct characteristics into microscopic traffic simulation.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expectations, impacts, and contradictions of e-scooters from a social exclusion perspective: Reflections from London's rental trial","authors":"Daniel Oviedo,&nbsp;Carolina Moore,&nbsp;Anastasia Trofimova","doi":"10.1016/j.jcmr.2024.100053","DOIUrl":"10.1016/j.jcmr.2024.100053","url":null,"abstract":"<div><div>There are few attempts at introducing new personal transport technologies have made as much noise as the relatively recent appearance of electric scooters (e-scooters) in cities as an on-demand shared mobility service supported by digital platforms. In London, United Kingdom, urban pilots for shared e-scooter services have been met with significant disruptions stemming from issues that range from the pandemic to regulatory uncertainty, recent political shifts, and slow legislative processes. This paper seeks to address gaps in reliable evidence about e-scooters’ positive and negative contributions to social and environmental development goals using a qualitative approach grounded in a framework of transport-related social exclusion. The framework comprises of eight dimensions linked with usage of new modes of personal transport technologies: 1) geographic, 2) spatial, 3) from facilities, 4) economics, 5) time-based, 6) physical, 7) fear-based, and 8) discrimination. The paper builds on semi-structured interviews with 27 stakeholders representing diverse organisations in the public, private, and third sectors, and an online survey with over 1000 respondents, including users and non-users of private and shared e-scooters. We interrogate the practices, experiences, and expectations of stakeholders within London’s, as well as the United Kingdom’s urban micro-mobility landscape. The paper expands on current research efforts that are concerned almost exclusively with the environmental, road traffic safety, and reductionist interpretations of ‘inclusion’ and ‘accessibility’, adding depth and nuance to discussions on intersectionality, deprivation, as well as social and cultural values in the planning of on-demand shared mobility services.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of the need satisfaction in cycling to and from school scale among students from Germany","authors":"Dorothea M.I. Schönbach ,&nbsp;Adilson Marques ,&nbsp;Miguel Peralta ,&nbsp;Dorota Kleszczewska ,&nbsp;Anna Dzielska ,&nbsp;Rafael Burgueño ,&nbsp;Francisco Javier Huertas-Delgado ,&nbsp;Yolanda Demetriou","doi":"10.1016/j.jcmr.2024.100052","DOIUrl":"10.1016/j.jcmr.2024.100052","url":null,"abstract":"<div><div>According to Germany’s 2022 Report Card, the prevalence of overall physical activity among children and adolescents is poor (D-). Cycling to/from school is one possibility among others to increase physical activity. We developed an intervention based on the self-determination theory in previous research to promote a more self-determined form of motivation among students. To establish a robust measurement instrument, this study aimed to validate the German need satisfaction in cycling to/from school scale in terms of construct and criterion validity and reliability, and examine gender differences regarding the mean satisfaction of needs. In 2021, 239 students (46.9 % girls, 51.9 % boys, 1.3 % diverse) aged between 10 and 17 attending an intermediate or high educational level in Southern Germany participated in this study. Global model fit, measurement model invariance tests across gender, and internal consistency were good. Convergent validity was established; however, discriminant validity was doubtful. Concurrent criterion validity was shown by the correlation between mean satisfaction of needs and mean intrinsic motivation and an increased likelihood of cycling to school through the mean satisfaction of needs. We concluded that our study provides a valid and reliable scale to measure the satisfaction of autonomy, competence, and relatedness in cycling to/from school, but only if item 10 within the autonomy subscale is removed.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do cyclists experience a context-aware prototype warning system? Assessing perceived safety, perception and riding behaviour changes through a field study","authors":"Georgios Kapousizis ,&nbsp;Annemarie Jutte ,&nbsp;M. Baran Ulak ,&nbsp;Karst Geurs","doi":"10.1016/j.jcmr.2024.100051","DOIUrl":"10.1016/j.jcmr.2024.100051","url":null,"abstract":"<div><div>The number of bicycle crashes is increasing in many European countries. In the Netherlands, a country well-known for its high-quality cycling infrastructure and cycling culture, bicycle crashes are also increasing, especially for e-bike users. Smart bicycle technologies, such as safety warning support systems, could contribute to reducing crash risk for cyclists. However, perceived safety and trust in these technologies are determinant factors in accepting and using such technologies. This study investigated users’ perceived safety, perceived trust, and perceived performance with a context-aware prototype warning system to support cyclists in the real world. In addition, it investigated users’ riding behaviour changes when receiving warnings in high crash risk locations by collecting GPS data. The above were evaluated through a field trial experiment using three rides per participant, with the first one serving as a control ride and a follow-up questionnaire after each ride conducted in Enschede, the Netherlands, between April and May 2024, with a sample of 46 participants. Results show that participants’ perceived safety increased after they tried out the prototype warning system. In addition, it was found that warning systems positively influence participants’ riding behaviour, since they reduced their speed. This study proves the potential benefits of smart bicycle technologies in improving cyclists’ safety.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100051"},"PeriodicalIF":0.0,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling the impact of road infrastructure on cycling moving speed","authors":"Afshin Jafari ,&nbsp;Dhirendra Singh ,&nbsp;Lucy Gunn ,&nbsp;Alan Both ,&nbsp;Billie Giles-Corti","doi":"10.1016/j.jcmr.2024.100049","DOIUrl":"10.1016/j.jcmr.2024.100049","url":null,"abstract":"<div><div>Cycling for transport is a sustainable alternative to using motorised vehicles for daily trips and is a key form of micromobility. Travel time is a critical factor influencing cycling route choice behaviour and uptake. Thus, it is important to understand the factors affecting cycling travel time and speed and their impact on cycling behaviour. In this study, an agent-based transport simulation model with heterogeneous cycling speeds was developed and used for Melbourne to study the impact of a hypothetical traffic signal optimisation intervention along six key cycling corridors. Linear regression and random forest models were used to identify factors affecting cycling speed, which informed the parameters of the agent-based model. Simulation outputs showed, on average, an increase of 4.1 % in the number of cyclists on the corridors, as existing cyclists chose to use these corridors, and an average reduction in cyclists’ moving travel time of 6.2 % for those using the intervention corridors (excluding time spent waiting at traffic signals). The findings provide insights into the effects of road attributes on cycling speed and behaviour, as well as the effectiveness of interventions aimed at reducing cycling delays. These insights are valuable for developing solutions to optimise urban infrastructure for micromobility, enhancing the efficiency and appeal of cycling as a viable transport option.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"3 ","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing an E-Bike City: An automated process for network-wide multimodal road space reallocation","authors":"Lukas Ballo ,&nbsp;Martin Raubal ,&nbsp;Kay W. Axhausen","doi":"10.1016/j.jcmr.2024.100048","DOIUrl":"10.1016/j.jcmr.2024.100048","url":null,"abstract":"<div><div>Effective and timely decarbonization of urban mobility requires systemic changes to transportation systems. High-quality cycling networks are seen as one of such measures and multiple scholars have developed automated approaches for a quick generation of such interventions. However, a common shortcoming is that they mostly ignore the tradeoffs and dependencies in allocating scarce road space to different modes. In this paper, we introduce an automated process for generating alternative multimodal transport networks within the boundaries of existing road space. Based on the user’s configuration, the resulting networks can prioritize separated cycling infrastructure, dedicated lanes for public transport, or a dense provision of on-street parking spaces. Also, the prioritization and the resulting designs can follow a variety of design principles, such as one-way streets, or impermeable superblocks. The outputs can be visualized on a map and used in common transport simulation toolkits. A case study in Zurich is used to demonstrate the process on a real-world network and discuss the results. The underlying software package SNMan (Street Network Manipulator) is available as open-source software and can be utilized by researchers and planners to envision alternative urban mobility futures in any place in the world.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scooting into place: How comfort on different infrastructure types influences shared e-scooter trip making","authors":"Adam Weiss ,&nbsp;Sam Pollock ,&nbsp;Lina Kattan","doi":"10.1016/j.jcmr.2024.100047","DOIUrl":"10.1016/j.jcmr.2024.100047","url":null,"abstract":"<div><div>Shared e-scooters are a growing disruptive micro-mobility technology. Several Canadian cities, including Calgary, have launched pilot programs to test these micro-mobility options. As part of the Calgarian pilot, a public engagement survey was launched to collect information about the public’s perception of shared e-scooters. The survey includes a set of questions related to users’ perception of comfort using shared e-scooters on various infrastructure types: roads, bike lanes, sidewalks and dedicated pathways, as well as a question related to the frequency of use of the e-scooters. Comfort in general and specific comfort on the type of infrastructure most used is expected to have a high degree of correlation with the frequency of use. We present a joint ordered choice model examining how different sociodemographic characteristics and typical travel patterns of the survey respondents influence perceptions of comfort on these different infrastructure types and their frequency of e-scooter use. The model estimation results show that e-scooter use is not uniform across age and gender demographics and that infrastructure, riding comfort, and e-scooter use are linked. E-scooter riding comfort was negatively associated with infrastructure types that led to more potential interactions with motor vehicles and pedestrians. These results will allow decision makers to tailor new policies and prioritize infrastructure to improve the overall usage of e-scooters and maximize the benefits these new technologies will provide.</div></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deep reinforcement learning solution to help reduce the cost in waiting time of securing a traffic light for cyclists","authors":"Lucas Magnana ,&nbsp;Hervé Rivano ,&nbsp;Nicolas Chiabaut","doi":"10.1016/j.jcmr.2024.100046","DOIUrl":"10.1016/j.jcmr.2024.100046","url":null,"abstract":"<div><p>Cyclists prefer to use infrastructures that separate them from motorized traffic. Using a traffic light to segregate car and bike flows, with the addition of bike-specific green phases, is a lightweight and cheap solution that can be deployed dynamically to assess the opportunity of a heavier infrastructure such as a separate bike lane. To compensate for the increased waiting time induced by these new phases, we introduce in this paper a deep reinforcement learning solution that adapts the green phase cycle of a traffic light to the traffic. Vehicle counter data are used to compare the DRL approach with the actuated traffic light control algorithm over whole days. Results show that DRL achieves better minimization of vehicle waiting time at every hours. Our DRL approach is also robust to moderate changes in bike traffic. The code used for this paper is available at : <span><span>https://github.com/LucasMagnana/A-DRL-solution-to-help-reduce-the-cost-in-waiting-time-of-securing-a-traffic-light-for-cyclists</span><svg><path></path></svg></span></p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100046"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000378/pdfft?md5=31bbda2751f81d1e8b5e1979e24e5869&pid=1-s2.0-S2950105924000378-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}