Abstract
In this chapter we explore literature on the relationship between road safety and urban form. The latter can be described by the “5Ds”: density, diversity, design, distance to transit, and destination accessibility. Dense and diverse land use and networks designed for active transport encourage walking and cycling. These conditions are also favourable for public transport, especially with public transport stops close to many origins and destinations. Dense and diverse land use, and development oriented towards public and active transport are associated with high levels of road safety. The relationship between urban form and road safety is indirect via mobility. The aforementioned urban form characteristics are likely to contribute by creating favourable preconditions for road safety (and public health in general). Increased volumes of walking and cycling are associated with reduced vehicular operating speeds as driver awareness of pedestrians and cyclists increases. Increased active transport volumes are also likely to increase public support for protected neighbourhood cores, area-wide traffic calming, and comprehensive pedestrian and cycling networks. Moreover, dense and diverse land uses enable more community finances to be invested in (sustainably) safer transport systems such as metro and rail. Achieving higher levels of road safety and public health requires a ‘bottom-up’ design process of development patterns that focus on the human-scale needs of pedestrians and cyclists first, supported with convenient, high quality public transport, services, and parks. Only in the last stages should motor traffic be carefully designed for, and then only as a ‘guest’ to this otherwise sustainability-oriented community.
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Appendix: Description of the Data Used for Fig. 19.1 and Table 19.1
Appendix: Description of the Data Used for Fig. 19.1 and Table 19.1
Recorded deaths per 100,000 population in 2011–2015 in Fig. 19.1 are either calculated using road death and population statistics from governments such as statistical agencies or taken from OECD (OECD/ITF 2014, 2016) or WHO (WHO 2015). Phoenix or San Diego rates were from Kegler et al. (2012) and adjusted for the reduction in the USA between 2009 and 2011–2015.
Modal share of trips in Table 19.1 data was taken from the Wikipedia (2017) page about modes of transport in large cities (https://en.wikipedia.org/wiki/Modal_share) and supplemented with data for Hong Kong from Sun et al. (2014), Fietsberaad (2010) for cycling in Dutch new towns, and Statistics Netherlands (2017) for the average modal split in the Netherlands. Population densities from the Wikipedia pages of the cities are also added to Table 19.1.
Sources Table 19.1 and Fig. 19.1: Fietsberaad (2010), SWOV (2011a), Kegler et al. (2012), Préfecture de Police (2013), OECD/ITF (2014), Sun et al. (2014), NSW Centre for Road Safety (2015), Office for National Statistics (2015), Transport Accident Commission (2015), Transport Department Hong Kong (2015), WHO (2015), Department for Transport (2016), OECD/ITF (2016), Transport Accident Commission (2016), Statistics Belgium (2017), Statistics Denmark (2017), Statistics Netherlands (2017), Transport Analysis (2017).
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Schepers, P., Lovegrove, G., Helbich, M. (2019). Urban Form and Road Safety: Public and Active Transport Enable High Levels of Road Safety. In: Nieuwenhuijsen, M., Khreis, H. (eds) Integrating Human Health into Urban and Transport Planning. Springer, Cham. https://doi.org/10.1007/978-3-319-74983-9_19
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