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2.
J Public Health Policy ; 36(2): 194-211, 2015 May.
Article in English | MEDLINE | ID: mdl-25654475

ABSTRACT

To gather insight on how Health in All Policies (HiAP) is applied in practice, we carried out a case study on transport policies intended to stimulate a shift from car use to bicycling. We reviewed 3 years (2010, 2011, and 2012) of national budgets and policy documents in the Netherlands, followed by two focus group sessions and a second round of document analysis. We found to our surprise, given the country's history of bicycle promotion, that no HiAP approaches for bicycle promotion remain in place in national transport policies. The Netherlands may face serious challenges in the near future for facilitating bicycle use. Inclusion of health goals requires that the health sector work towards acquiring a better understanding of core values in other sector's policies.


Subject(s)
Bicycling , Health Policy , Health Promotion/methods , Transportation/methods , Culture , Humans , Netherlands
3.
Article in English | MEDLINE | ID: mdl-27408731

ABSTRACT

BACKGROUND: Physical activity and sedentary behaviour are independently associated with health outcomes, where physical activity (PA) is associated with health benefits and sedentary behaviour is associated with health risks. One possible strategy to counteract sedentary behaviour is to stimulate active transport use. As monitoring studies in the Netherlands have shown that among sedentary people the proportion of adults who engage in sports (hereafter: sports practitioners) is 62.3%, sports practitioners seem a feasible target group for this strategy. Previous studies have generally reported associations between neighbourhood characteristics and active transport use. However, the neighbourhood covers only part of the route to a certain destination. Therefore, we examined the association between perceived route features and transport choice when travelling up to 7.5 kilometres to a sports facility among sports practitioners. METHODS: For 1118 Dutch sports practitioners - who indicated that they practice a sport and travel to a sports facility - age 18 and older, data on transport choice and perceived features of the route to a sports facility were gathered. Participants were classified into one of three transport groups based on their transport choice: car users, cyclists and walkers. Participants were asked whether perceived route features influenced their transport choice. Logistic regression was used to model the odds of cycling versus car use and walking versus car use in the association with perceived route features, adjusted for potential confounders. RESULTS: Perceived traffic safety was associated with lower odds of cycling (OR: 0.36, 95% CI: 0.15-0.86). Perceived route duration was associated with lower odds of both cycling (OR: 0.54, 95%CI: 0.39-0.75) and walking (OR: 0.60, 95%CI: 0.36-1.00). Perceived distance to a sports facility and having to make a detour when using other transport modes than the chosen transport mode were associated with higher odds of both cycling and walking (ORrange: 1.82-5.21). What and who people encountered during their trip (i.e. visual aspects) was associated with higher odds of both cycling and walking (ORrange: 2.40-3.69). CONCLUSIONS: Perceived traffic safety, duration, distance, detour, and visual aspects, when travelling to a sports facility were associated with transport choice. Therefore, the perception of route features should be considered when stimulating active transport use among sports practitioners.

4.
PLoS One ; 9(12): e114797, 2014.
Article in English | MEDLINE | ID: mdl-25474653

ABSTRACT

BACKGROUND: One way to increase physical activity is to stimulate a shift from car use to walking or cycling. In single-purpose trips, purpose was found to be an important predictor of transport choice. However, as far as known, no studies have been conducted to see how trips with combined purposes affect this decision. This study was designed to provide insight into associations between combined purposes and transport choice. METHODS: An online questionnaire (N = 3,663) was used to collect data concerning transport choice for four primary purposes: shopping, going to public natural spaces, sports, and commuting. Per combination of primary trip purpose and transport choice, participants were asked to give examples of secondary purposes that they combine with the primary purpose. Logistic regression analyses were used to model the odds of both cycling and walking versus car use. RESULTS: Primary trip purposes combined with commuting, shopping, visiting private contacts or medical care were more likely to be made by car than by cycling or walking. Combinations with visiting catering facilities, trips to social infrastructure facilities, recreational outings, trips to facilities for the provision of daily requirements or private contacts during the trip were more likely to be made by walking and/or cycling than by car. CONCLUSION: Combined trip purposes were found to be associated with transport choice. When stimulating active transport focus should be on the combined-trip purposes which were more likely to be made by car, namely trips combined with commuting, other shopping, visiting private contacts or medical care.


Subject(s)
Choice Behavior , Transportation , Adult , Bicycling , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Netherlands , Travel , Walking
5.
PLoS One ; 8(9): e73105, 2013.
Article in English | MEDLINE | ID: mdl-24039866

ABSTRACT

INTRODUCTION: This explorative study examines personal and neighbourhood characteristics associated with short-distance trips made by car, bicycle or walking in order to identify target groups for future interventions. METHODS: Data were derived from 'Mobility Research Netherlands (2004-2009; MON)', a dataset including information regarding trips made by household members (n = ±53,000 respondents annually). Using postal codes of household addresses, MON data were enriched with data on neighbourhood typologies. Multilevel logistic modelling was used to calculate odds ratio (OR) of active transport versus car use associated with four different trip purposes (shopping (reference), commuting, taking or bringing persons or sports). A total of 277,292 short distance trips made by 102,885 persons were included in analyses. RESULTS: Compared to women shopping, women less often take active transport to sports clubs (OR = 0.88) and men less often take active transport for shopping (OR = 0.92), or for bringing or taking persons (OR = 0.76). Those aged 25-34 years (OR = 0.83) and 35-44 years (OR = 0.96) were more likely to use active transport for taking or bringing persons than persons belonging to the other age groups (relative to trips made for shopping by those 65 years or over). A higher use of active transport modes by persons with an university or college degree was found and particularly persons living in urban-centre neighbourhoods were likely to use active transport modes. CONCLUSION: IN DEVELOPING POLICIES PROMOTING A MODE SHIFT SPECIAL ATTENTION SHOULD BE GIVEN TO THE FOLLOWING GROUPS: a) men making short distance trips for taking or bringing persons, b) women making short distance trips to sport facilities, c) persons belonging to the age groups of 25-44 years of age, d) Persons with a primary school or lower general secondary education degree and persons with a high school or secondary school degree and e) persons living in rural or urban-green neighbourhoods.


Subject(s)
Choice Behavior , Motor Activity , Transportation , Travel , Adolescent , Adult , Age Factors , Aged , Automobiles , Bicycling , Female , Humans , Male , Middle Aged , Netherlands , Sex Factors , Young Adult
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