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Accessibility Measures and the Social Evaluation of Urban Structure

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  • J Black
  • M Conroy

Abstract

The measurement of accessibility and travel patterns in urban areas is described. The methodology presented includes graphical measures of physical accessibility, a numerical index of accessibility that is consistent with graphical measures, residents' accessibility weighted by transport availability, and the relationship between accessibility and travel behaviour. Some empirical results are presented for access and travel to male and female jobs in Sydney, with the use of data collected for the 1971 Census of Population and for the Sydney Area Transportation Study. The consequences of some alternative arrangements of land use and plans to improve public transport on residents' accessibility are investigated. It is argued that accessibility measures are a useful aid to planners and policymakers in the social evaluation of urban structure.

Suggested Citation

  • J Black & M Conroy, 1977. "Accessibility Measures and the Social Evaluation of Urban Structure," Environment and Planning A, , vol. 9(9), pages 1013-1031, September.
  • Handle: RePEc:sae:envira:v:9:y:1977:i:9:p:1013-1031
    DOI: 10.1068/a091013
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    Cited by:

    1. Mackiewicz, Andrzej & Ratajczak, Waldemar, 1996. "Towards a new definition of topological accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 30(1), pages 47-79, February.
    2. Karel Martens, 2012. "Justice in transport as justice in accessibility: applying Walzer’s ‘Spheres of Justice’ to the transport sector," Transportation, Springer, vol. 39(6), pages 1035-1053, November.
    3. Zhijiao Qin & Yan Yu & Dianfeng Liu, 2019. "The Effect of HOPSCA on Residential Property Values: Exploratory Findings from Wuhan, China," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    4. Górniak Joanna, 2016. "The Spatial Autocorrelation Analysis For Transport Accessibility In Selected Regions Of The European Union," Comparative Economic Research, Sciendo, vol. 19(5), pages 25-42, December.
    5. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    6. Ada Wolny & Marek Ogryzek & Ryszard Źróbek, 2019. "Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    7. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    8. Kim, Junghwan & Lee, Bumsoo, 2019. "More than travel time: New accessibility index capturing the connectivity of transit services," Journal of Transport Geography, Elsevier, vol. 78(C), pages 8-18.

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