2012
DOI: 10.1016/j.jtrangeo.2012.01.004
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Accessibility and capability: the minimum transport needs and costs of rural households

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Cited by 78 publications
(48 citation statements)
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“…This argument is supported by empirical studies relying on a diversity of methods, ranging from econometrics (Dargay, 2002) to quantitative surveys (Gray, Farrington, Shaw, Martin, & Roberts, 2001) and focus groups (Smith, Hirsch, & Davis, 2012). However, given higher levels of motorisation in these areas, the share of the population that is exposed to car deprivation is lower.…”
mentioning
confidence: 99%
“…This argument is supported by empirical studies relying on a diversity of methods, ranging from econometrics (Dargay, 2002) to quantitative surveys (Gray, Farrington, Shaw, Martin, & Roberts, 2001) and focus groups (Smith, Hirsch, & Davis, 2012). However, given higher levels of motorisation in these areas, the share of the population that is exposed to car deprivation is lower.…”
mentioning
confidence: 99%
“…Thus, despite calls for a greater use of individual level data to understand social exclusion (Grieco, 2003;Kamruzzaman & Hine, 2011;Preston & Rajé, 2007), most studies treat "the elderly" as one of several groups at risk of exclusion. Studies which analyze social exclusion and mobility in rural areas also share this tendency (for example, Kamruzzaman & Hine, 2012;Smith, Hirsch, & Davis, 2012). Furthermore, these studies do not look in detail at how older people interact with other people (such as family members), or how they themselves may be choosing to be excluded from what would be considered "normal" social activities.…”
Section: Review Of the Literaturementioning
confidence: 99%
“…Accessibility refers to the opportunities that are available within a certain distance or travel time [85,87,95,96]. Although different methods exist in the literature to derive levels of accessibility (see [97]), cumulative opportunity/isochrones measure has been used predominantly to identify transport disadvantage [19].…”
Section: Area Accessibility-based Measuresmentioning
confidence: 99%