Journal: Journal of Cycling and Micromobility Research

Abbreviation

Publisher

Elsevier

Journal Volumes

ISSN

2950-1059

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Filters

2023 - 20267
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Publications 1 - 7 of 7
  • Designing an E-Bike City
    Item type: Journal Article
    Ballo, Lukas; Axhausen, Kay W.; Raubal, Martin (2024)
    Journal of Cycling and Micromobility Research
    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 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 or modes and follow a variety of design principles. 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 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.
  • Comparative study on route choice models for cyclists
    Item type: Journal Article
    Meister, Adrian; Liang, Zheng; Felder, Matteo; et al. (2024)
    Journal of Cycling and Micromobility Research
    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 model. 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.
  • Fast-lane for planning cycling infrastructure: On the effectiveness and efficiency of cycling infrastructure planning processes
    Item type: Journal Article
    Elvarsson, Arnor B.; Zani, David; Adey, Bryan T. (2026)
    Journal of Cycling and Micromobility Research
    Timely development of cycling infrastructure is essential to achieving societal goals such as decarbonisation and cyclist traffic safety. However, delays in infrastructure project completion persist across many planning contexts, partly due to the infrastructure planning processes. This paper addresses the lack of academic research on infrastructure planning process improvement, specifically for cycling infrastructure, by applying a structured, three-step methodology—process mapping, process analysis and improvement proposal—to the case of Canton Zürich, Switzerland. The paper includes mapping the existing cycling infrastructure planning process, identifying process-related challenges using three decision-making criteria (technical readiness, societal consensus, and political-financial prioritisation), and proposing targeted improvements. Key findings highlight the need for timely planning mandates, early-stage cost overviews, and systematic treatment of uncertainty to enhance planning process efficiency. It is argued that these process modifications can accelerate the realisation of cycling infrastructure projects and improve alignment with long-term strategic goals such as achieving net-zero carbon emissions by 2050. By bridging the gap between planning process design and infrastructure outcomes, this study contributes an approach for analysing and improving planning processes. The findings are relevant for infrastructure planners, policymakers, and researchers seeking to support more effective and efficient cycling infrastructure development.
  • Welcome to the Journal of Cycling and Micromobility Research
    Item type: Other Journal Item
    Rich, Jeppe; Heinen, Eva (2023)
    Journal of Cycling and Micromobility Research
  • Bicycle as a traffic mode
    Item type: Journal Article
    Ni, Ying-Chuan; Makridis, Michail; Kouvelas, Anastasios (2024)
    Journal of Cycling and Micromobility Research
    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.
  • Cycling speed profiles from GPS data
    Item type: Journal Article
    Maurer, Laurin; Meister, Adrian Helmut Georges; Axhausen, Kay W. (2025)
    Journal of Cycling and Micromobility Research
    Understanding cycling speed dynamics is crucial for effective transportation planning and infrastructure development. This study analyzes GPS-based cycling speed profiles in Zurich, Switzerland, focusing on conventional bicycles, e-bikes (25 km/h), and speed pedelecs (45 km/h). Using GPS data from 351 cyclists, we examine the influence of socio-demographic factors (age, gender, BMI), road infrastructure, gradients, and weather conditions on cycling speeds. Our findings reveal that speed pedelecs achieve the highest speeds, frequently exceeding residential speed limits, raising questions about their classification and integration into urban mobility networks. Machine learning models identify road gradients, BMI, and age as key determinants of cycling speed. Additionally, results show that e-bikes and speed pedelecs experience longer intersection delays. These insights offer valuable contributions to urban transport policies, cycling infrastructure planning, and traffic modeling, ensuring safer and more efficient mobility solutions.
  • E-cargo bikes as a personal transport mode in the UK: Insights from surveys and suburban trials
    Item type: Journal Article
    Philips, Ian; Cairns, Sally; De Séjournet, Alice; et al. (2025)
    Journal of Cycling and Micromobility Research
    This paper explores the potential of e-cargo bikes as a personal transport mode in the UK, reporting on a series of surveys and trials. Hypothesising that early adoption of this niche mode was geodemographically skewed, we carried out a nationally-representative survey which showed that living in London, being aged 18–34 and being a less frequent car user were associated with e-cargo bike use. Additionally, we used an empirical mixed methods approach to understand what level of usage might be achieved via a supported trial in areas outside London which were relatively car-dependent. 49 households were loaned an e-cargo bike for a month in summer 2023, in suburbs of Leeds, Brighton and Oxford. Eleven of these households borrowed e-cargo bikes again the following winter. By Autumn 2024, 10 trial households had bought e-cargo bikes. High usage was achieved in the trials, with summer trial households cycling approximately 8000 km (38–42 km per household per week) with over 50 % of the distance travelled replacing car use. This work revealed a range of advantages of use as well as issues to address, including purchase costs, theft, negative perceptions of battery safety and a lack of e-cargo-bike appropriate infrastructure. The study demonstrated that there are current non-adopter groups of people in the UK for whom e-cargo bikes represent a realistic and desirable form of mobility, with the potential to reduce car use and associated emissions, and with possible benefits for health and family activities.
Publications 1 - 7 of 7