WP2: Environmental determinants for bike-ability

Coordinated by Jens Troelsen, SDU.

Methods linking GIS data with objective and subjective measures of cycling in relation to the built environment of selected neighbourhoods is applied to develop a validated bike-ability index. The methodology will be based on a selection of neighbourhoods with variation of determinants resulting in areas with high versus low bike-ability.WP2.1 Site survey: corresponding to international studies of walk-ability (Sallis et al 2009) the following determinants are included: population density, land use mix, urban recreational sites and areas, infrastructure, aesthetics of neighbourhood (planting, urban design e.g.), safety of neighbourhood (traffic, crime, street lights e.g.). WP2.2 Bike-ability survey: bike-ability in the neighbourhood is measured by GPS-systems, surveys and log books. A total of 200 adults (age 18 – 60) are selected in the neighbourhoods to carry the GPS for seven days. In addition they answer a survey about neighbourhood characteristics and fill in self reported activities in an electronic log. WP2.3 Bike-ability model: the geographical determinants from WP2.1 are compared with the outcome of WP2.2. Regression modelling will be supplemented by factor- and principal component analysis in case of reciprocal correlated factors. WP2.4 Model validation: based on the bike-ability model developed in WP2.3 a predictive model for levels of bicycling is calculated for new neighbourhoods and compared with objectives and subjective measures of bike-ability (as in WP2.2) to validate the predictive bike-ability model. The validated ‘bike-ability index’ will allow for ‘bench marking’ of urban environments as well as identification of the most important parameters that constitute a cycling friendly urban environment. The index-definition enables WP1 and WP3 to include key-parameters of bike-ability in the analysis and simulation of behaviours.