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Purpose – To provide a policy perspective on the relationship between transport and climate change.

Methodology/approach – Two key themes are identified and discussed: the meaning of a major change in a policy perspective, covering the Climate Change Act and the development of a Low Carbon Transition Plan. A theoretically informed framework applies and highlights the importance of understanding policy change from a historical perspective.

Originality/value – The largely incremental nature of the policy change is considered in terms of whether there are real prospects of a radical change in transport policy that will deliver a low carbon transport future, whilst also allowing transport to fulfil its many other roles.

Findings – The chapter demonstrates that the current approach to climate change policy has seen only minor adjustments to existing policy tools which are not consistent with the more radical shift in policy targets. This incremental approach may reflect the significant uncertainty over technological change or a reluctance to tackle the difficult issue of travel behaviour. Whilst oil prices remain high this may not be problematic but more proactive steering will be necessary in the coming years.

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.