2001
DOI: 10.1016/s0743-0167(00)00035-8
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Car dependence in rural Scotland: transport policy, devolution and the impact of the fuel duty escalator

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Cited by 78 publications
(51 citation statements)
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“…Social exclusion is not just due to the main effects of different causal factors such as income and employment but rather the interactions between these different factors, as a result, transport disadvantage measures should be based on the interactions between different explanatory factors in addition to modelling their main effects. For instance, Gray et al [74] found that despite owning cars by both groups, high-income individuals made more trips and travelled longer distances using the car than their low-income counterparts in rural Scotland. Delbosc and Currie [22] have indicated that an identification of transport disadvantage without involving interactions between different factors is overly prescriptive and simplistic.…”
Section: Criteria For the Review Of Transport Disadvantage Measuresmentioning
confidence: 99%
See 1 more Smart Citation
“…Social exclusion is not just due to the main effects of different causal factors such as income and employment but rather the interactions between these different factors, as a result, transport disadvantage measures should be based on the interactions between different explanatory factors in addition to modelling their main effects. For instance, Gray et al [74] found that despite owning cars by both groups, high-income individuals made more trips and travelled longer distances using the car than their low-income counterparts in rural Scotland. Delbosc and Currie [22] have indicated that an identification of transport disadvantage without involving interactions between different factors is overly prescriptive and simplistic.…”
Section: Criteria For the Review Of Transport Disadvantage Measuresmentioning
confidence: 99%
“…This means that, for instance, the model assumes that car-ownership is invariant to other variables, which implies that, other things being equal, all car-owning individuals have similar levels of accessibility regardless of where they live or their income level [137]. However, this might not be the case, as Gray et al [74] found that despite owning cars, high-income individuals made more trips and travelled longer distances using the car than low-income individuals in rural Scotland. Garson [140] has noted that a main effect is the direct effect of an explanatory variable on the dependent variable (e.g., accessibility) whereas an interaction effect is the joint effect of two or more explanatory variables on the dependent variable.…”
Section: Individual Accessibility-based Measuresmentioning
confidence: 99%
“…Of course, modern cities have all the necessary services and facilities contained in a small geographic region, so driving is only one of a number of transport options for daily life (including public transport, cycling or walking). In contrast, for those living in rural locations, driving is often considered essential because the travel distances are great (essential services are distributed far apart) and the transport infrastructure is sparse (public transport have limited timetables) limiting alternative modes of transport (Gray, Farrington, Shaw, Martin, & Roberts, 2001;Velaga, Beecroft, Nelson, Corsar, & Edwards, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Along with a range of other well-documented economic, social and political trends, the trend towards large retail stores has led to the identification of so-called 'food deserts' in both urban (Wrigley 2002) and rural locations (Bitto et al, 2003). But, in addition, once a local population comes to rely on car travel for either shopping or work, it tends to increase their usage of and dependency on more distant locations and thus it also increases the likelihood that other services will be lost to local communities (Fulton and Hammond-Ketilson 1992;Gray et al, 2001;Findlay and Sparks, 2008).…”
Section: Introductionmentioning
confidence: 99%