Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam

Helbich, Marco; Böcker, Lars; Dijst, Martin

doi:10.1016/j.jtrangeo.2014.05.009

Cited by 87 publications

(61 citation statements)

References 28 publications

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“…This finding contradicts not only transport studies that argue that, for adults, active transport is highly sensitive with respect to poor weather conditions (Helbich et al, 2014;Böcker et al, 2016), but also a few school travel studies (Oliver et al, 2014) that found univariate, but not multivariate, associations between daily weather and ATS. Lacking associations are supported by Mitra and Faulkner (2012), who found no seasonal or weather effects for Toronto, Canada.…”

Section: Empirical Findingsmentioning

confidence: 66%

“…For each city, weather data of the closest station was matched with each trip date and time. We considered on an hourly basis four weather conditions that are frequently used in transport studies (Helbich et al, 2014), namely a) temperature in 0.1°C, b) global radiation in J/cm 2 , c) mean wind speed in 0.1 m/s, and d) precipitation in mm re-coded as dummy variable.…”

Section: Natural Environmental Variablesmentioning

confidence: 99%

“…In addition, natural and urban environmental determinants are suggested to be influential (Pont et al, 2009;Panter et al, Contents lists available at ScienceDirect journal homepage: www.elsevier.com/locate/healthplace 2010; Wong et al, 2011a;Sallis et al, 2015). Despite the significance of greenness and weather conditions for active transport among adults (Helbich et al, 2014;Fishman et al, 2015;Böcker et al, 2016), little is known about how these natural environmental factors shape children's mobility. Most studies either regard weather as non-modifiable or consider weather conditions (e.g., precipitation) only on a daily (or even seasonal) basis (Børrestad et al, 2011;Van Goeverden and de Boer, 2013), inappropriately reflecting their instant effects on mode choice.…”

Section: Introductionmentioning

confidence: 99%

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Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

et al. 2016

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Section: Empirical Findingsmentioning

confidence: 66%

Section: Natural Environmental Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

et al. 2016

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“…Our total percentage of active commuting trips than that reported for the hilly Limburg area of the Netherlands (64%) (Van Kann et al, 2015). That the Netherlands has an overwhelming share of active travelers is not surprising, considering that the population is highly disposed toward walking and cycling, the country has a mild climate and a high-standard walking and cycling infrastructure, and school are physically well-integrated in neighborhoods (Pucher & Buehler, 2008;Helbich, B€ ocker, & Dijst, 2014).…”

Section: Descriptive Statisticsmentioning

confidence: 99%

Children's school commuting in the Netherlands: Does it matter how urban form is incorporated in mode choice models?

Helbich

2016

International Journal of Sustainable Transportation

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Walking and cycling to school is environmentally sustainable and increases children's physical activity. Although it is known that the built environment influences children's travel behavior, there is scant knowledge of how urban form along children's commuting routes affects walking and cycling separately, or of how to incorporate urban form exposures in transport mode choice models. This research investigated (a) the associations between children's transport mode choice and urban form correlates en route, and (b) the consequences of different urban form operationalizations (i.e., individual variables, composite measure, and principal components [PCs]). Global Positioning System devices were used to track 623 trips to and from school made by Dutch children aged 6-11 years. Urban form exposures were derived with geographic information systems, and their relationships with mode choice were tested with mixed multinomial logit models in a cross-sectional research design. Differences between the number of associated urban form variables, their magnitudes, and their significance levels were found for both walking and cycling, independent of the operationalization. Urban form was most influential for walking, whereas distance-related effects were absorbed when modeled as PCs. The highest model fit was achieved through PCs; the composite measure resulted in the lowest fit. To maximize the effectiveness of planning and health interventions, walking and cycling must be targeted separately. Policymakers should avoid "one-fits-all policies," which are deemed to be inefficient. Because urban form affects model interpretation and fit, careful attention should be paid to how urban form is modeled, and sensitivity analyses should be performed.

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“…Another group suggested that wind negatively impacts bicycling [43][44][45][46][47][48]. The impact of wind on walking is questionable, with some studies finding that wind significantly impacts walking and others finding no significant impact [49][50][51][52].…”

Section: Introductionmentioning

confidence: 99%

Does Wind Discourage Sustainable Transportation Mode Choice? Findings from San Francisco, California, USA

Kim

Macdonald

2016

Sustainability

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This paper explores whether and to what extent wind discourages sustainable transportation mode choice, which includes riding public transportation, bicycling, and walking. A six month-long field study was carried out at four locations in San Francisco, a city that has been promoting sustainable transportation mode choice but that experiences high wind levels. It involved surveying pedestrians and on-site recording of microclimate data using various instruments. The survey adopted a mixed-method approach to collect both quantitative and qualitative data. Statistical analyses using Kruskal Wallis tests and ordinal logistic regression models identified the significant effect of wind speed on San Francisco's residents in estimating their discouragement for waiting at transit stop without shelter, bicycling, and walking. Qualitative data revealed a deeper understanding of how wind influences their sustainable transportation mode choice. This research argues for the need to adopt climate-based efforts in urban planning and policy and sheds light on the climate resilience of cities

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Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam

Cited by 87 publications

References 28 publications

Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study

Children's school commuting in the Netherlands: Does it matter how urban form is incorporated in mode choice models?

Does Wind Discourage Sustainable Transportation Mode Choice? Findings from San Francisco, California, USA

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