Bicyclist commuters’ choice of on-street versus off-street route segments

Kang, Lei; Fricker, Jon D.

doi:10.1007/s11116-013-9453-x

Cited by 57 publications

(32 citation statements)

References 20 publications

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“…The conclusion that cyclists in St. Louis prefer roads with bike lanes and buffered bike lanes over roads with sharrows or no infrastructure is consistent with results from BRC studies from other locations [22][23][24][25][26][27][28]. This is most likely because bike lanes and buffered bike lanes provide cyclists with designated space on roads and separation from motor traffic.…”

Section: Discussionsupporting

confidence: 76%

“…While many studies have found a positive correlation between levels of bicycle infrastructure and bicycle commuting [15][16][17] others have found little correlation [18][19][20][21]. What is certain is that many cyclists prefer routes with bicycle facilities [22][23][24][25][26][27][28] and bicycle infrastructure encourages non-cyclists to try cycling [14]. However, it is uncertain whether investments in bicycle infrastructure increase bicycle-use.…”

Section: Audit Instruments For Bicycle Networkmentioning

confidence: 99%

“…These spatially-explicit studies often ask participants to draw out recent or commonly-used bike routes within a study area on a paper map or website [24,26,28,51]. Researchers then use these documented routes and statistical analyses to make inferences about cyclists' preferences for network characteristics.…”

Section: Bicycle Route Choice Studiesmentioning

confidence: 99%

“…Following other BRC studies [22,24,[26][27][28][50][51][52], we included the following environmental variables in our statistical analysis: street functional classification, traffic speed, number of lanes, and bicycle facility type. Environmental data were tagged to each individual data point.…”

Section: Environmental Co-variatesmentioning

confidence: 99%

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

2017

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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.

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Section: Discussionsupporting

confidence: 76%

Section: Audit Instruments For Bicycle Networkmentioning

confidence: 99%

Section: Bicycle Route Choice Studiesmentioning

confidence: 99%

Section: Environmental Co-variatesmentioning

confidence: 99%

See 2 more Smart Citations

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

2017

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“…Stated and revealed preference surveys as well as observational data have been widely used to study cyclist behaviour (Dill & Gliebe, 2008;Hunt & Abraham, 2007;Kang & Fricker, 2013;Yang & Mesbah, 2013). More recently GPS and video data are being used to gather more in depth information such as location, speed, trajectory and safety measures (Li, Xiong, Li, Liu, & Zhang, 2015;Ma & Luo, 2016;Mereu, 2015;Zaki, Sayed, & Cheung, 2013;Zangenehpour, Strauss, Miranda-Moreno, & Saunier, 2016).…”

Section: Analysis Methodsmentioning

confidence: 99%