2016
DOI: 10.1016/j.tra.2016.05.002
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The value of transportation accessibility in a least developed country city – The case of Rajshahi City, Bangladesh

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Cited by 23 publications
(17 citation statements)
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“…The presence of spatial dependence in the data violates basic assumptions of conventional statistical analysis, such as t-tests or Pearson correlation and OLS regressions, and leads to "information loss, biased and/or inefficient parameters and the possibility of seriously flawed conclusions and policy prescriptions" (Páez & Scott, 2005, p.55). To overcome these limitations, spatial regression models have been commonly used by studies investigating the relationship between transport accessibility and landuse prices (Efthymiou & Antoniou, 2013;Mitra & Saphores, 2016;Mulley, Ma, Clifton, Yen, & Burke, 2016), but these models have thus far found little uptake in the literature on transportation equity. In order to control for spatial autocorrelation, a spatial regression model was used to estimate whether wealthier areas were able to attract more accessibility gains from the transport policies recently implemented in Rio.…”
Section: Analyzing Association Between Income and Accessibility Changementioning
confidence: 99%
“…The presence of spatial dependence in the data violates basic assumptions of conventional statistical analysis, such as t-tests or Pearson correlation and OLS regressions, and leads to "information loss, biased and/or inefficient parameters and the possibility of seriously flawed conclusions and policy prescriptions" (Páez & Scott, 2005, p.55). To overcome these limitations, spatial regression models have been commonly used by studies investigating the relationship between transport accessibility and landuse prices (Efthymiou & Antoniou, 2013;Mitra & Saphores, 2016;Mulley, Ma, Clifton, Yen, & Burke, 2016), but these models have thus far found little uptake in the literature on transportation equity. In order to control for spatial autocorrelation, a spatial regression model was used to estimate whether wealthier areas were able to attract more accessibility gains from the transport policies recently implemented in Rio.…”
Section: Analyzing Association Between Income and Accessibility Changementioning
confidence: 99%
“…The presence of spatial dependence in the data violates basic assumptions of conventional statistical analysis, such as t-tests or person's correlation and OLS regressions, and leads to "information loss, biased and/or inefficient parameters and the possibility of seriously flawed conclusions and policy prescriptions" (Páez & Scott, 2005, p.55). To overcome these limitations, spatial regression models have been commonly used by studies investigating the impacts of transport accessibility on land-use prices (Efthymiou & Antoniou, 2013;Mitra & Saphores, 2016;Mulley et al, 2016;Tsutsumi & Seya, 2008), but these models have thus far found little uptake in the literature on transportation equity that evaluates the accessibility impacts of transport policies.…”
Section: Analyzing Association Between Income and Accessibility Changementioning
confidence: 99%
“…Such small organizations are less able to persuade customers to shop far from their homes by providing a compelling incentive such as large floor space (Bell et al, 1998;Huff, 1964;John & Michael, 1998). The scarcity of personal cars and the dominance of walking as a means of transport provide another explanation of why consumers in LDCs are likely to shop in their neighborhood to obtain products and services (Mitra & Saphores, 2016). Moreover, consumers in LDCs shop daily, and this habit of shopping daily also encourages them to shop in their own neighborhood (Dawar & Chattopadhyay, 2002).…”
Section: The Relative Importance Of the Reasons For Billboard Usementioning
confidence: 99%