{"title":"Comparing e-bike and conventional bicycle use patterns in a public bike share system: A case study of Richmond, VA","authors":"Yifan Yang , Elliott Sloate , Nashid Khadem , Celeste Chavis , Vanessa Frías-Martínez","doi":"10.1016/j.jcmr.2024.100023","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100023","url":null,"abstract":"<div><p>Bicycle-sharing systems have emerged as a viable transportation alternative in numerous urban areas, owing to their multifaceted benefits. These benefits include reduced transportation expenses, health improvements, and decreased emission levels. While extensive research has been conducted on travel behaviors in shared bicycle systems, there is currently a lack of research on travel behaviors changes with the introduction of e-bikes. This study presents a comprehensive analysis of the similarities and differences between e-bike (pedelec) and conventional bicycle use in a bike share system in Richmond City, Virginia.</p><p>The results show that pedelecs are generally associated with longer trip distances, shorter trip times, higher speeds, and lower rates of uphill elevation change. The origin–destination analysis considering the business, mixed use, residential, and other uses shows extremely similar trends, with a large number of trips staying within either business or residential locations or mixed use. The roadway use analysis shows that pedelecs are used farther outside of the city than bikes.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100023"},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000147/pdfft?md5=8ca78b7bcb43a1d013dc453a0e38479a&pid=1-s2.0-S2950105924000147-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140632651","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}
Ying-Chuan Ni , Michail A. Makridis , Anastasios Kouvelas
{"title":"Bicycle as a traffic mode: From microscopic cycling behavior to macroscopic bicycle flow","authors":"Ying-Chuan Ni , Michail A. Makridis , Anastasios Kouvelas","doi":"10.1016/j.jcmr.2024.100022","DOIUrl":"10.1016/j.jcmr.2024.100022","url":null,"abstract":"<div><p>Cities allocate dedicated road space to bicycles in favor of active-mode road users. For urban environments with a mass bicycle volume, bicycle traffic congestion is likely to occur. Hence, a thorough understanding of bicycle traffic flow is necessary for the assessment of cycling infrastructure and the development of traffic management strategies considering cycling efficiency. This study aims to investigate bicycle flow characteristics using microscopic traffic simulation. As bicycle flow performance is subject to the non-lane-based movement strategy and the behavioral heterogeneity among cyclists, various scenarios with different microsimulation settings are evaluated. Ultimately, we derive the functional form fundamental diagrams and macroscopic fundamental diagrams using a curve-fitting approach and an analytical method, respectively. Important macroscopic traffic flow parameters, such as capacity, critical speed, critical density, backward wave speed, etc., are estimated. The results show that lane width, overtaking incentive, and desired speed distribution are factors that affect bicycle flow performance. The distinct features of bicycle flow under different traffic states are identified by discussing the simulation outcome and comparing the estimated flow parameters. The findings can be utilized by future research regarding large-scale bicycle traffic flow modeling and control.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100022"},"PeriodicalIF":0.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000135/pdfft?md5=3a3bb14e2269ed5cd77b25f8ef006cb0&pid=1-s2.0-S2950105924000135-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140279875","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":"Operating speed distributions in off-street cycling facilities by vehicle type and motorization","authors":"Amir Hassanpour, Alexander Bigazzi","doi":"10.1016/j.jcmr.2024.100021","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100021","url":null,"abstract":"<div><p>With the growing popularity of motorized Personal Mobility Devices (PMDs) for urban travel, there is increasing need to understand the impacts on transportation facility operation. Speed is a critical aspect of vehicle performance, and the lack of robust information on PMD operating speeds hinders facility design, regulation, and policy for safe and comfortable PMD integration. The objectives of this study are 1) to derive operating speed distributions for all Personal Mobility Devices in use on off-street “cycling” facilities in metropolitan Vancouver, Canada, and 2) to determine how PMD speeds are influenced by microenvironment factors including facility type, path grade, weather, and path traffic volume. Classified speed data for 27 PMD types were collected in 4 seasons at 12 sampling locations in Vancouver, Canada. Results from the 25,053 observations show that motorization increases speeds by 3, 10, and 13 km/hr for bicycles, skateboards, and scooters, respectively, which tends to homogenize average speeds across PMD types at around 20–24 km/hr. Motorization also decreases the effect of grade on speed by about 2/3rd. Even with motorization, bicycle and other PMD speeds rarely exceed the regulatory limit of 32 km/hr – except for sit-down electric scooters which have exceptionally high speeds. Scenario analysis indicates that even with large penetration rates of motorized PMD, a 30 km/hr design speed for off-street paths would still be appropriate, although less conservative.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100021"},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000123/pdfft?md5=7c67b564aeb16d4178ccd887b30a2c48&pid=1-s2.0-S2950105924000123-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140134977","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":"Mobility for the people: Equity requirements in US shared micromobility programs","authors":"Anne Brown , Amanda Howell","doi":"10.1016/j.jcmr.2024.100020","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100020","url":null,"abstract":"<div><p>Shared micromobility services including bikeshare and shared e-scooters have proliferated in the U.S., but barriers continue to limit their use by some travelers. Cities and transportation agencies have attempted to overcome access disparities by establishing equity-oriented policy requirements for shared micromobility programs. Yet no clear picture exists of either their prevalence or specific components. To address this gap, we asked and answered two questions: 1) What equity requirements do shared micromobility programs include? and 2) to what extent are programs monitored and evaluated? We collected policy data for 239 shared micromobility programs across the U.S. We focused on equity requirements across three dimensions: process, implementation, and evaluation. We found that 62% of shared micromobility programs had at least one equity requirement, although fewer than half (46%) included more than one, suggesting potential challenges for travelers facing intersectional barriers. Less than one-third of programs (29%) included process-equity requirements for targeted outreach to marginalized or underserved communities. Implementation requirements included smartphone alternative (36% of programs), cash payment compatibility (33%), reduced rates (32%), multilingual services (26%), adaptive vehicles for users with disabilities (5%), and mandated geographic service areas (30%). Finally, while most programs (83%) required data reporting from private companies, far fewer published public-facing evaluation reports (27%) or specified compliance language related to equity (15%). The language and conditions of requirements varied dramatically across programs. Findings reveal implications for transportation policy, including a need for micromobility programs to focus on access and outcomes during program evaluation.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100020"},"PeriodicalIF":0.0,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000111/pdfft?md5=c9b575ec87898ab992ff99847c95934b&pid=1-s2.0-S2950105924000111-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140069354","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}
Stefan Gössling , Jessica Kees , Rafael Hologa , Nils Riach , Rul von Stülpnagel
{"title":"Children’s safe routes to school: Real and perceived risks, and evidence of an incapacity-incapability space","authors":"Stefan Gössling , Jessica Kees , Rafael Hologa , Nils Riach , Rul von Stülpnagel","doi":"10.1016/j.jcmr.2024.100019","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100019","url":null,"abstract":"<div><p>There is a general consensus that children and adolescents should ideally travel to school actively and independently. Yet, in many parts of the world, real and perceived traffic risks represent a major barrier to walking, cycling, or the use of scooters. As the perspectives of children and adolescents on perceived dangers are insufficiently understood, this quantitative-qualitative study compares injury data for 2019–2021 with questionnaires answered by school management (n=40 school managers) and focus-group interviews with students aged 6–17 (n=40) in the city of Freiburg, Germany. The triangulation indicates that a significant number of collisions and injuries in traffic appear to go unreported, and that school routes are characterized by insecurity and perceived dangers. The analysis suggests that perceptions of risk change with age, and in reflection of influences including cognitive ability and motor skills, social environment and attitudes, transport mode, and technology adoption. Results are conceptualized as an incapacity-incapability space, indicating that relative risk exposure is highest for younger children (5–9 years), and for teenagers (12–16 years). Findings have implications for the study of traffic risks, urban design and transport planning and policy.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100019"},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S295010592400010X/pdfft?md5=a49d75b0deb90f6a0a74973052108093&pid=1-s2.0-S295010592400010X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139975995","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}
Adrian Meister , Zheng Liang , Matteo Felder , Kay W. Axhausen
{"title":"Comparative study of route choice models for cyclists","authors":"Adrian Meister , Zheng Liang , Matteo Felder , Kay W. Axhausen","doi":"10.1016/j.jcmr.2024.100018","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100018","url":null,"abstract":"<div><p>This paper presents a comparison of different route choice models for cyclists. The data includes approx. 3,700 cycling trajectories. The network is derived based on the Open-Street-Map that contains street-level attribute information. We estimate two path-based and one link-based models. We present descriptive statistics, model results, resulting indicators, and compare different validation approaches. The results reveal important differences across the models, especially in context of applications and policy-making.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100018"},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000093/pdfft?md5=d44160866fe2f6d0f2ebc89dfb44d47f&pid=1-s2.0-S2950105924000093-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139986986","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":"Studying shared bike route choice behavior using a bike-sharing system in Germany","authors":"Hauke Reckermann, Margarita Gutjar, Matthias Kowald","doi":"10.1016/j.jcmr.2024.100017","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100017","url":null,"abstract":"<div><p>The objective of this research is to explore the determinants of shared bike route choice in both urban and rural settings in Germany. To this end, a stated preference (SP) survey on route choice was conducted across several German cities. Participants were drawn from the service area of a regional bike-sharing system (BSS) in Germany. This area included five major cities and several mid-sized and smaller municipalities. The survey includes responses from both users and non-users of the BSS. Mixed multinomial logit models were used in analysis of the SP data. The study also calculated the willingness to pay (WTP) values for selected attributes. Significant influences on route choice included access and egress time, ride time, and ride cost. Significant random heterogeneity was found, especially for ride cost. Further heterogeneity was reported for interactions with sociodemographic attributes. Street type, surface, and bike infrastructure also had significant effects on route choice. Linkages between infrastructural preferences and respondents’ ages were evident. Although WTP values were strongly influenced by random heterogeneity in ride cost perception, most WTP values were comparable to the values obtained in other studies.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100017"},"PeriodicalIF":0.0,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000081/pdfft?md5=975ce2c6f2990acebcc1ddc9a429824b&pid=1-s2.0-S2950105924000081-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139935368","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":"Who uses subsidized micromobility, and why? Understanding low-income riders in three countries","authors":"Alexa Delbosc , Calvin Thigpen","doi":"10.1016/j.jcmr.2024.100016","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100016","url":null,"abstract":"<div><p>Shared bicycle and e-scooter programs, which we refer to as ‘shared micromobility’, have been expanding in cities across the globe. To date, little research has directly examined the role that shared micromobility programs play in supporting the travel needs of low-income populations. To fill this research need, this paper aims to evaluate a subsidy program for low-income riders by examining the demographics, usage patterns, benefits and barriers for low-income riders relative to general riders. We explore this aim using a survey of 1037 Lime customers from the United States, Australia and New Zealand. Lime operates shared e-bike and e-scooter programs in seventeen countries and over 200 cities around the world. They operate a program called ‘Lime Access’ that provides subsidized rides to qualifying customers. Using descriptive and comparative statistics, we find that Lime Access riders were more likely than general riders to be locals who use shared micromobility for utilitarian purposes (commuting, shopping) as a regular part of their daily travel patterns (35% of Access riders used Lime daily vs 7% of non-Access riders) and in combination with transit (44% of Access riders connected to transit on their last trip vs 23% of non-Access). Open-ended comments revealed the important role that Lime played in meeting the mobility needs of Access customers, especially customers with a disability or who do not own a car. The findings suggest that if cities want to expand the uptake of shared micromobility among low-income populations, they may want to consider agreements that incentivise or support the expansion of subsidized ridership programs.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100016"},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S295010592400007X/pdfft?md5=c949235a4d2d9cad8ac571ea6f6b99b4&pid=1-s2.0-S295010592400007X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139719569","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}
Uijeong Hwang , Ilsu Kim , Subhrajit Guhathakurta , Pascal Van Hentenryck
{"title":"Comparing different methods for connecting bike lanes to generate a complete bike network and identify potential complete streets in Atlanta","authors":"Uijeong Hwang , Ilsu Kim , Subhrajit Guhathakurta , Pascal Van Hentenryck","doi":"10.1016/j.jcmr.2024.100015","DOIUrl":"https://doi.org/10.1016/j.jcmr.2024.100015","url":null,"abstract":"<div><p>This study compares two different strategies for connecting bike networks – traditional design-based and algorithm-supported – to investigate how their results differ along metrics such as proportion of bike lanes along simulated routes and the resulting cycling stress. The objective is to find optimal strategies for connecting isolated existing cycling infrastructure to form complete networks that improve both active mobility and public transit ridership. By aligning the bike network with transit and activity locations, this research develops an algorithmic framework for generating a skeleton of multimodal networks best suited to become \"complete streets.\" The network generated through an algorithm is compared with a proposed traditionally designed network to determine their relative network performance. The findings suggest that a judicious combination of traditionally designed, and algorithm-supported networks offer better cycling infrastructure than either strategy alone. In addition, algorithms can also be developed to indicate the potential for street segments to be complete streets.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100015"},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000068/pdfft?md5=5ed9f37b15fb481b6f7e53b621527121&pid=1-s2.0-S2950105924000068-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139653283","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}
Felix Wilhelm Siebert , Christoffer Riis , Kira Hyldekær Janstrup , Hanhe Lin , Jakob Kristensen , Oguzhan Gül , Frederik Boe Hüttel
{"title":"Automated detection of bicycle helmets using deep learning","authors":"Felix Wilhelm Siebert , Christoffer Riis , Kira Hyldekær Janstrup , Hanhe Lin , Jakob Kristensen , Oguzhan Gül , Frederik Boe Hüttel","doi":"10.1016/j.jcmr.2024.100013","DOIUrl":"10.1016/j.jcmr.2024.100013","url":null,"abstract":"<div><p>Bicycle helmets are a main measure for injury prevention in case of a crash and are a central variable in transport safety studies. Despite this, helmet use data is only collected sporadically, as the observation of helmet use in traffic by human observers is costly and time-consuming. An automated method for the accurate registration of bicycle helmet use would enable the broad and precise registration of cyclists’ helmet use. In this paper, we develop and test a computer vision-based detection method that can be applied to traffic video data. We record bicycle traffic at two observation sites in Copenhagen, Denmark, and annotate a dataset of 4000 cyclists, registering their helmet use. We then train a state-of-the-art object detection algorithm on the detection of cyclists and helmet use. The developed model has good accuracy in registering active cyclists. For helmet use registration on the test data set, there was an underestimation of 0.52% (algorithm registered helmet use: 50.23%; actual helmet use: 50.75%). Cross-testing the algorithm, i.e., training on one observation site and applying it to another, results in a larger underestimation of bicycle helmet use between 5.28% and 6.31%. Finally, we apply the algorithm to a week of video data from two Copenhagen sites, identifying commuting-related peaks of cyclists and registering helmet use differences between the observation sites. This study shows that computer vision algorithms are a feasible method for the automated detection of bicycle helmet use. Further research needs to be conducted to make the site transfer more robust and to increase accuracy levels.</p></div>","PeriodicalId":100771,"journal":{"name":"Journal of Cycling and Micromobility Research","volume":"2 ","pages":"Article 100013"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2950105924000044/pdfft?md5=7a97ddea621e6c669037219a7e7f25cb&pid=1-s2.0-S2950105924000044-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139538381","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}