Objective correlates and determinants of bicycle commuting propensity in an urban environment

Cole‐Hunter, Tom; Donaire-González, David; Curto, Ariadna; Ambrós, Albert; Valentín, Antònia; Garcia‐Aymerich, Judith; Martínez, David; Braun, Lindsay M.; Mendez, Michelle A.; Jerrett, Michael; Rodrı́guez, Daniel A.; Nazelle, Audrey de; Nieuwenhuijsen, Mark

doi:10.1016/j.trd.2015.07.004

Cited by 100 publications

(68 citation statements)

References 47 publications

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“…It is known that people with stronger nature relatedness tend to prefer—that is, make more frequent visits to—naturally green areas and parks [31]. In addition, environmental greenness has been found to be related to physical activity in several studies but, thus far, mainly among adults [43,44,45,46]. Our study suggested that spending time in nature was positively connected to nature relatedness, especially among those whose nature relatedness was weaker.…”

Section: Discussionmentioning

confidence: 54%

Physical Activity, Residential Environment, and Nature Relatedness in Young Men—A Population-Based MOPO Study

Puhakka

Pyky

Lankila

et al. 2018

IJERPH

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Background: In general, nature relatedness is positively associated with physical activity, health, and subjective well-being. However, increased residence in urban areas, and the decrease in natural spaces, may affect the younger generation most adversely. The associated environmental changes can increase youths’ risk of spending most of their time indoors, and weaken their nature relatedness, making them less likely to enjoy nature’s health benefits. This is a serious public health issue, since inadequate physical activity, combined with minimum time spent in green space, can affect health across the whole lifespan. Thus, to develop effective interventions for physical activation and promote health and well-being among young men, further knowledge of the determinants of their nature relatedness is necessary. Aims: To explore factors related to nature relatedness, including physical activity, physical activity with parents, and residential environment. Methods: The study population consisted of all 914 young men (mean—17.8 years; SD—0.5) who participated in mandatory call-ups for military service and completed the study questionnaire in 2013. The questionnaire inquired about their nature relatedness, demographic characteristics, socioeconomic status, physical activity, health, and subjective well-being. A geographic information system (GIS) was used to assess the features of their residential environments. Multivariable linear regression was used to analyze the data. Results: Physical activity (p = 0.021) and physical activity with parents at primary school age (p = 0.007), and currently (p = 0.001) as well as good self-rated health (p = 0.001), and father’s higher socioeconomic status (p = 0.041), were positively connected to nature relatedness. Conclusions: Physical activity in general, physical activity with parents, and nature relatedness were positively related. This knowledge can be utilized in promoting physical activity and health among young men.

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Section: Discussionmentioning

confidence: 54%

Physical Activity, Residential Environment, and Nature Relatedness in Young Men—A Population-Based MOPO Study

Puhakka

Pyky

Lankila

et al. 2018

IJERPH

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“…The study is nested in the Transportation, Air Pollution and Physical Activities (TAPAS) Travel Survey study [24]. In brief, the TAPAS Travel Survey study aimed to understand the barriers and benefits of bicycle commuting among those who commute by a motorized mode within Barcelona city [25-28]. …”

Section: Methodsmentioning

confidence: 99%

“…The TAPAS sample was composed of 815 healthy participants recruited following stratified sampling according to commute mode (bicycle vs motorized commuters) in 4 randomized spatiotemporal sampling points, for each of the 10 districts of Barcelona [25]. The TAPAS participants were aged 18-65 years, and they lived and worked or studied in Barcelona city (area: 102 km 2 ; population density: 15,687 persons/km 2 ).…”

Section: Methodsmentioning

confidence: 99%

Benefits of Mobile Phone Technology for Personal Environmental Monitoring

Donaire-González¹,

Valentín²,

Nazelle³

et al. 2016

JMIR Mhealth Uhealth

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BackgroundTracking individuals in environmental epidemiological studies using novel mobile phone technologies can provide valuable information on geolocation and physical activity, which will improve our understanding of environmental exposures.ObjectiveThe objective of this study was to assess the performance of one of the least expensive mobile phones on the market to track people's travel-activity pattern.MethodsAdults living and working in Barcelona (72/162 bicycle commuters) carried simultaneously a mobile phone and a Global Positioning System (GPS) tracker and filled in a travel-activity diary (TAD) for 1 week (N=162). The CalFit app for mobile phones was used to log participants’ geographical location and physical activity. The geographical location data were assigned to different microenvironments (home, work or school, in transit, others) with a newly developed spatiotemporal map-matching algorithm. The tracking performance of the mobile phones was compared with that of the GPS trackers using chi-square test and Kruskal-Wallis rank sum test. The minute agreement across all microenvironments between the TAD and the algorithm was compared using the Gwet agreement coefficient (AC1).ResultsThe mobile phone acquired locations for 905 (29.2%) more trips reported in travel diaries than the GPS tracker (P<.001) and had a median accuracy of 25 m. Subjects spent on average 57.9%, 19.9%, 9.0%, and 13.2% of time at home, work, in transit, and other places, respectively, according to the TAD and 57.5%, 18.8%, 11.6%, and 12.1%, respectively, according to the map-matching algorithm. The overall minute agreement between both methods was high (AC1 .811, 95% CI .810-.812).ConclusionsThe use of mobile phones running the CalFit app provides better information on which microenvironments people spend their time in than previous approaches based only on GPS trackers. The improvements of mobile phone technology in microenvironment determination are because the mobile phones are faster at identifying first locations and capable of getting location in challenging environments thanks to the combination of assisted-GPS technology and network positioning systems. Moreover, collecting location information from mobile phones, which are already carried by individuals, allows monitoring more people with a cheaper and less burdensome method than deploying GPS trackers.

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“…However, an understudied topic is the relative exposure of population-level flows of cyclists and pedestrians to air pollution [i.e., exposure where people actually walk and bike (traffic flows) rather than the characteristics of neighborhoods that influence their likelihood to walk (“walkability”) or bike (“bikeability”)]. [Several prior studies explore walkability and bikeability (Cole-Hunter et al 2015; Frank et al 2006; Winters et al 2013). ]…”

Section: Introductionmentioning

confidence: 99%

Population-Level Exposure to Particulate Air Pollution during Active Travel: Planning for Low-Exposure, Health-Promoting Cities

Hankey

Lindsey

Marshall

2017

Environ Health Perspect

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Background:Providing infrastructure and land uses to encourage active travel (i.e., bicycling and walking) are promising strategies for designing health-promoting cities. Population-level exposure to air pollution during active travel is understudied.Objectives:Our goals were a) to investigate population-level patterns in exposure during active travel, based on spatial estimates of bicycle traffic, pedestrian traffic, and particulate concentrations; and b) to assess how those exposure patterns are associated with the built environment.Methods:We employed facility–demand models (active travel) and land use regression models (particulate concentrations) to estimate block-level (n = 13,604) exposure during rush-hour (1600–1800 hours) in Minneapolis, Minnesota. We used the model-derived estimates to identify land use patterns and characteristics of the street network that are health promoting. We also assessed how exposure is correlated with indicators of health disparities (e.g., household income, proportion of nonwhite residents). Our work uses population-level rates of active travel (i.e., traffic flows) rather than the probability of walking or biking (i.e., “walkability” or “bikeability”) to assess exposure.Results:Active travel often occurs on high-traffic streets or near activity centers where particulate concentrations are highest (i.e., 20–42% of active travel occurs on blocks with high population-level exposure). Only 2–3% of blocks (3–8% of total active travel) are “sweet spots” (i.e., high active travel, low particulate concentrations); sweet spots are located a) near but slightly removed from the city-center or b) on off-street trails. We identified 1,721 blocks (~ 20% of local roads) where shifting active travel from high-traffic roads to adjacent low-traffic roads would reduce exposure by ~ 15%. Active travel is correlated with population density, land use mix, open space, and retail area; particulate concentrations were mostly unchanged with land use.Conclusions:Public health officials and urban planners may use our findings to promote healthy transportation choices. When designing health-promoting cities, benefits (physical activity) as well as hazards (air pollution) should be evaluated.Citation:Hankey S, Lindsey G, Marshall JD. 2017. Population-level exposure to particulate air pollution during active travel: planning for low-exposure, health-promoting cities. Environ Health Perspect 125:–534; http://dx.doi.org/10.1289/EHP442

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Objective correlates and determinants of bicycle commuting propensity in an urban environment

Cited by 100 publications

References 47 publications

Physical Activity, Residential Environment, and Nature Relatedness in Young Men—A Population-Based MOPO Study

Physical Activity, Residential Environment, and Nature Relatedness in Young Men—A Population-Based MOPO Study

Benefits of Mobile Phone Technology for Personal Environmental Monitoring

Population-Level Exposure to Particulate Air Pollution during Active Travel: Planning for Low-Exposure, Health-Promoting Cities

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