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Using mental mapping to unpack perceived cycling risk
Affiliation:1. Department of Civil Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland;2. Ryan Institute for Environmental, Marine and Energy Research, NUI Galway, Galway, Ireland;3. Department of Geography, Ludwig-Maximilians-University Munich, Germany;4. School of Geography and Archaeology, College of Arts, Social Sciences and Celtic Studies, NUI Galway, Galway, Ireland;5. School of Mathematics, Statistics and Applied Mathematics, College of Science, NUI Galway, Galway, Ireland;1. Traffic Research Unit, Institute of Behavioural Sciences, University of Helsinki, Finland;2. Cognitive Brain Research Unit, Cognitive Science, Institute of Behavioural Sciences, University of Helsinki, Finland;3. MINDLab, Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Denmark;1. Department of Planning and Transport, Faculty of Architecture and the Built Environment, University of Westminster, Marylebone Campus, 35 Marylebone Road, London NW1 5LS, UK;2. UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Box 285, Cambridge CB2 0QQ, UK;1. Center for Cognitive Science, Freiburg University, Hebelstr. 10, 79104, Freiburg, Germany;2. Institute for Geoinformatics, Münster University, Heisenbergstraße 2, 48149. Münster, Germany;1. Civil Engineering Department, Universidad Europea, Calle Tajo s/n, 28690 Villaviciosa de Odón, Spain;2. Transport Department, Universidad Politecnica de Madrid, Calle Profesor Aranguren s/n, 28040 Madrid, Spain;3. Transport Systems Division, Universidad de Chile, Av. Blanco Encalada 2002, Santiago, Chile
Abstract:Cycling is the most energy-efficient mode of transport and can bring extensive environmental, social and economic benefits. Research has highlighted negative perceptions of safety as a major barrier to the growth of cycling. Understanding these perceptions through the application of novel place-sensitive methodological tools such as mental mapping could inform measures to increase cyclist numbers and consequently improve cyclist safety. Key steps to achieving this include: (a) the design of infrastructure to reduce actual risks and (b) targeted work on improving safety perceptions among current and future cyclists.This study combines mental mapping, a stated-preference survey and a transport infrastructure inventory to unpack perceptions of cycling risk and to reveal both overlaps and discrepancies between perceived and actual characteristics of the physical environment. Participants translate mentally mapped cycle routes onto hard-copy base-maps, colour-coding road sections according to risk, while a transport infrastructure inventory captures the objective cycling environment. These qualitative and quantitative data are matched using Geographic Information Systems and exported to statistical analysis software to model the individual and (infra)structural determinants of perceived cycling risk.This method was applied to cycling conditions in Galway City (Ireland). Participants’ (n = 104) mental maps delivered data-rich perceived safety observations (n = 484) and initial comparison with locations of cycling collisions suggests some alignment between perception and reality, particularly relating to danger at roundabouts. Attributing individual and (infra)structural characteristics to each observation, a Generalised Linear Mixed Model statistical analysis identified segregated infrastructure, road width, the number of vehicles as well as gender and cycling experience as significant, and interactions were found between individual and infrastructural variables. The paper concludes that mental mapping is a highly useful tool for assessing perceptions of cycling risk with a strong visual aspect and significant potential for public participation. This distinguishes it from more traditional cycling safety assessment tools that focus solely on the technical assessment of cycling infrastructure. Further development of online mapping tools is recommended as part of bicycle suitability measures to engage cyclists and the general public and to inform ‘soft’ and ‘hard’ cycling policy responses.
Keywords:Cycling  Perceived risk  Safety  Mental mapping
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