Preferences and behaviour of pedestrians and cyclists by age and gender

Bernhoft, Inger Marie; Carstensen, G

doi:10.1016/j.trf.2007.08.004

Cited by 224 publications

(147 citation statements)

References 9 publications

Supporting

Mentioning

123

Contrasting

Unclassified

Order By: Relevance

“…Specifically, it is worth remarking on the associations reported between age of cyclists and road crash rates in the last 5 years which were in accordance with other empirical sources [35,36], i.e., cyclists with less age tend to accumulate higher crash rates (regardless of severity) when riding compared with those with a higher age/riding experience. Furthermore, age was also correlated with risk-related perceptions (linked to infrastructural and interactional factors) and risky behaviours on the road.…”

Section: Discussionsupporting

confidence: 85%

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

et al. 2018

View full text Add to dashboard Cite

Abstract:The increasing number of registered road crashes involving cyclists during the last decade and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling, bicycle-user characteristics and their self-reported experience with road crashes. And second, to determine whether a set of key infrastructural and human factors may predict their self-reported road crashes. Methods: For this cross-sectional study, a total of 1064 cyclists (38.8% women, 61.2% men; M = 32.8 years of age) from 20 different countries across Europe, South America and North America, participated in an online survey composed of four sections: demographic data and cycling-related factors, human factors, perceptions on infrastructural factors and road crashes suffered. Results: The results of this study showed significant associations between human factors, infrastructural conditions and self-reported road crashes. Also, a logistic regression model found that self-reported road crashes of cyclists could be predicted through variables such as age, riding intensity, risky behaviours and problematic user/infrastructure interactions. Conclusions:The results of this study suggest that self-reported road crashes of cyclists are influenced by features related to the user and their interaction with infrastructural characteristics of the road.

show abstract

Section: Discussionsupporting

confidence: 85%

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Stated preference methods include surveys or focus groups where participant cyclists are presented with different route segment characteristics (e.g., speed limit, traffic volume, and presence of bicycle facilities) and are asked about their preferences for each [46][47][48][49]. Some studies include hypothetical scenarios, such as biking to work or an all-day meeting [25,50].…”

Section: Bicycle Route Choice Studiesmentioning

confidence: 99%

Assessing the Bicycle Network in St. Louis: A PlaceBased User-Centered Approach

2017

View full text Add to dashboard Cite

Abstract:To transition towards sustainability and increase low-impact transportation, city planners are integrating bicycle infrastructure in urban landscapes. Yet, this infrastructure only promotes cycling according to how well it is sited within a specific city. How to best site bicycle facilities is essential for sustainability planning. We review approaches to assessing and siting new bicycle facilities. Following sustainability science, we argue that active cyclists should be consulted to incorporate users' site-specific knowledge into bicycle infrastructure assessments. We then pilot an approach that surveys cyclists concerning level of stress along routes ridden in St. Louis, MO, USA. Among the active cyclists surveyed (n = 89), we found stress correlates with speed limit, roadway classification, and number of lanes. Although cyclists surveyed in St. Louis prefer roads with bike lanes over roads with sharrows or no infrastructure, the presence of bicycle infrastructure had no correlation with reported levels of stress. The piloted survey and spatial analytic tool are transferable to other localities. For planners, the maps generated by this participant data approach identify high-stress routes as targets of new infrastructure or information to direct cyclists to safer routes. For bicyclists, the maps generated identify low-stress routes for recreation and commuting.

show abstract

“…Routing is also influenced by the physical and visual continuity (Manum and Nordstrom, 2013;Rybarczyk and Wu, 2010), including obstacles, which are decisive mainly for the elderly (Alfonzo et al, 2006;Bernhoft and Carstensen, 2008). Moreover, it has been found that angular minimization is an important factor in route choice and that measurement of least angle routes in urban environments can be a useful way of predicting cyclist volumes (Raford, Chiaradia, and Gil, 2007).…”

Section: Behavioural Componentmentioning

confidence: 99%

“…The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B2, 2016 XXIII ISPRS Congress, 12-19 July 2016, Prague, Czech Republic appreciate pedestrian and cycling facilities more than the young (Bernhoft and Carstensen, 2008).…”

Section: Perceptual Componentmentioning

confidence: 99%

A Multidisciplinary Analytical Framework for Studying Active Mobility Patterns

Orellana¹,

Hermida²,

Osorio³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Intermediate cities are urged to change and adapt their mobility systems from a high energy-demanding motorized model to a sustainable low-motorized model. In order to accomplish such a model, city administrations need to better understand active mobility patterns and their links to socio-demographic and cultural aspects of the population. During the last decade, researchers have demonstrated the potential of geo-location technologies and mobile devices to gather massive amounts of data for mobility studies. However, the analysis and interpretation of this data has been carried out by specialized research groups with relatively narrow approaches from different disciplines. Consequently, broader questions remain less explored, mainly those relating to spatial behaviour of individuals and populations with their geographic environment and the motivations and perceptions shaping such behaviour. Understanding sustainable mobility and exploring new research paths require an interdisciplinary approach given the complex nature of mobility systems and their social, economic and environmental impacts. Here, we introduce the elements for a multidisciplinary analytical framework for studying active mobility patterns comprised of three components: a) Methodological, b) Behavioural, and c) Perceptual. We demonstrate the applicability of the framework by analysing mobility patterns of cyclists and pedestrians in an intermediate city integrating a range of techniques, including: GPS tracking, spatial analysis, auto-ethnography, and perceptual mapping. The results demonstrated the existence of non-evident spatial behaviours and how perceptual features affect mobility. This knowledge is useful for developing policies and practices for sustainable mobility planning.

show abstract

Preferences and behaviour of pedestrians and cyclists by age and gender

Cited by 224 publications

References 9 publications

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

Infrastructural and Human Factors Affecting Safety Outcomes of Cyclists

Assessing the Bicycle Network in St. Louis: A PlaceBased User-Centered Approach

A Multidisciplinary Analytical Framework for Studying Active Mobility Patterns

Contact Info

Product

Resources

About