Cycling and Society (Transport and Society)

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Akar, G. Bicycling choice and gender case study: The Ohio State University. International Journal of Sustainable Transportation, 7 5 , — Aldred, R. Cycling near misses: Their frequency, impact, and prevention. Antoniou, C. Estimation of traffic dynamics models with machine-learning methods. Arentze, T. A learning-based transportation-oriented simulation system.

Cycle like the Scandinavians for a healthier society

Transportation Research Part B: Methodological, 38 7 , — Bonham, J. Bicycling and the life course: The start-stop-start experiences of women cycling.

International Journal of Sustainable Transportation, 6 4 , — Breiman, L. Random forests. Machine Learning, 45 1 , 5— Boosting algorithms: Regularization, prediction and model fitting. Statistical Science, 22 4 , — Damant-Sirois, G. Who cycles more? Determining cycling frequency through a segmentation approach in Montreal, Canada. Dill, J. Bicycling for transportation and health: The role of infrastructure. The League of American Bicyclists Webinar. Four types of cyclists? Examination of typology for better understanding of bicycling behavior and potential.

Transportation Research Record, 1 , — Revisiting the four types of cyclists. Ding, A. Traffic flow time series prediction based on statistics learning theory. Ding, C. Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo.

Dr Kathryn Stewart presents research at Cycling & Society Annual Symposium

Emond, C. Explaining gender difference in bicycling behavior. Garrard, J. Healthy revolutions: Promoting cycling among women. Health Promotion Journal of Australia, 14 3 , — Women and cycling. In City Cycling pp. Promoting transportation cycling for women: The role of bicycle infrastructure.

Preventive Medicine, 46 1 , 55— Geller, R. Four types of transportation cyclists.

Do the health benefits of cycling outweigh the risks?

Gong, L. Data selection in machine learning for identifying trip purposes and travel modes from longitudinal GPS data collection lasting for seasons.


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Travel Behavior and Society. Deriving personal trip data from GPS data: A literature review on the existing methodologies. Procedia - Social and Behavioral Sciences, , — Grudgings, N. An analysis of female and male commuter cycling mode-share in England and Wales. Hastie, T.


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New York: Springer-Verlag. Heesch, K. Gender differences in recreational and transport cycling: A cross-sectional mixed-methods comparison of cycling patterns, motivators, and constraints. Jahangiri, A. Applying machine learning techniques to transportation mode recognition using mobile phone sensor data. James, G. An Introduction to statistical learning: With Applications in R. New York: Springer. Ma, L. The benefits of the scheme are intended to include the reduction in short car journeys for work, improving both the environment and employee health.

Information on the specifics of the Bristol scheme will be provided: how it will work, what it offers the users, the design of the bikes, security and maintenance issues and the potential for research to analyse the data collected through the scheme. Connect2 is an ambitious UK-wide project that will transform local travel in 79 communities by creating new pathways, crossings and bridges to overcome barriers such as busy roads, rivers and railways, giving people easier and healthier access to their schools, shops, parks and countryside.

Starting in May , the five-year iConnect study involves a broad evaluation of the whole Connect2 project, coupled with detailed investigations at five specific sites, including the Bridge to Nowhere Glasgow and the Itchen Walkway Southampton. This paper outlines preliminary thinking on methodological issues concerning measurement and evaluation. The difficulties in obtaining accurate measurements of walking and cycling levels are outlined and various survey and observational methodologies are assessed.

The role of randomised control trials is briefly considered. This research will be informed by the critical realist approach to evaluation, with an emphasis on the inter-relationships between context, mechanisms and outcomes. A general, socio-ecological model, will be considered, based on the work of Saelens et al.

This will be supplemented by middle range theories to determine the mechanisms that make some schemes more successful than others.

Monday 8 September

Do cycle routes pay? Historically the demand for cycling has been waning, implicitly suggesting the potential economic value of the cycle industry has been diminishing. However over the past decade both national and local transport policies have recognised the potential benefits of cycling in achieving environmental benefits as well as health benefits. Moreover there is a well defined role for cycle routes and facilities within the tourist industry which adds direct value to the economy. As such the demand for cycling has been reinvigorated through the government sustainable transport agenda which is advocating consistent growth within the UK leaving a latent demand that needs to be realised.

Moreover, public health concerns have reinforced this change in policy emphasis, not least because of concerns about low levels of population physical activity and weight gain. Unfortunately sustainable transport, including walking and cycling, has been and continues to be a point of contention for developers and planners alike with respect to infrastructure improvements. One of the most difficult aspects hindering their uptake is the complexity of determining their fiscal valuation — exactly how much is a cycle route worth?

With a view to developing a framework to underpin potential investment decisions, this study applies core economic principals and analysis methods to derive the potential value, and hence profitability, of cycle routes using an empirical example from Scotland. Previous work has looked into the recreational value of cycle routes in Scotland using the Glentress mountain biking facility and the present work provides an extension to this using the national cycling network.

The reason for doing so is to evaluate the consumer value of existing facilities in order to i test the case for further network expansion and ii elucidate the extent of realisable business expansion potential along existing routes. Research on collisions between motor and cycle traffic has generally concentrated on junctions while research on the acceptability of cycling has concentrated on links, with more recent research providing an integrated measure of perceived risk for junctions and links combined.

Close proximity of vehicles during overtaking manoeuvres has been shown to increase stress and reduce the perception of safety for cyclists, and research measuring the overtaking distance of motor traffic has already shown variation by type of motor vehicle and by the apparent gender of the cyclist. On the basis that the risk of cycle-vehicle collisions is greater where there is closer proximity, it is important to understand properly measured overtaking behaviour relative to the presence or absence of cycle lanes and the width of carriageway available.

This paper presents results of an experiment that collected proximity data of motor traffic overtaking cycle traffic with and without cycle lanes using an instrumented bicycle and controlling for confounders including horizontal and vertical geometry and volume and speed of traffic, and this presents an enhancement on previous research and evidence from campaign groups.

A comparison between the overtaking proximity of motor traffic to the bicycle, both with and without cycle lanes, is made to establish whether any significant differences exist. The data collected also allow the characteristics of the overtaking vehicles to be examined, to ascertain whether the proximity of overtaking vehicles differs for drivers of different vehicles.

The results help to determine whether the installation of cycle lanes is an appropriate way to increase the separation between cycle traffic and motor traffic, with a greater separation likely to reduce the risk of accidents.

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