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Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix


  • Daniel J. Graham

    (Centre for Transport Studies, Imperial College London, London SW7 2AZ, UK.

  • Stephen Glaister

    (Centre for Transport Studies, Imperial College London, London SW7 2AZ, UK.


This paper examines the role of urban scale, density and land-use mix on the incidence of road pedestrian casualties. It develops a spatial model at a disaggregate level that attempts to understand how the nature of the urban environment, with its associated traffic generation characteristics, affects the incidence of road pedestrian casualties. The results show that the characteristics of the local environment have a powerful influence on pedestrian casualties. The incidence of pedestrian casualties and KSIs is higher in residential than in economic zones and a quadratic relationship is found between urban density and pedestrian casualties with incidents diminishing for the most extremely dense wards. Distinguishing broad land-use effects, the paper explores the ways in which population and employment density influence pedestrian casualties.

Suggested Citation

  • Daniel J. Graham & Stephen Glaister, 2003. "Spatial Variation in Road Pedestrian Casualties: The Role of Urban Scale, Density and Land-use Mix," Urban Studies, Urban Studies Journal Limited, vol. 40(8), pages 1591-1607, July.
  • Handle: RePEc:sae:urbstu:v:40:y:2003:i:8:p:1591-1607

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    Cited by:

    1. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    2. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Spatial Economics Research Centre, LSE.
    3. Daniel J. Graham & Emma J. McCoy & David A. Stephens, 2013. "Quantifying the effect of area deprivation on child pedestrian casualties by using longitudinal mixed models to adjust for confounding, interference and spatial dependence," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 931-950, October.
    4. repec:gam:jsusta:v:11:y:2019:i:17:p:4739-:d:262429 is not listed on IDEAS
    5. repec:eee:jotrge:v:21:y:2012:i:c:p:4-16 is not listed on IDEAS
    6. Chi, Guangqing & Porter, Jeremy R. & Cosby, Arthur G. & Levinson, David, 2013. "The impact of gasoline price changes on traffic safety: a time geography explanation," Journal of Transport Geography, Elsevier, vol. 28(C), pages 1-11.
    7. repec:eee:jotrge:v:33:y:2013:i:c:p:42-53 is not listed on IDEAS
    8. repec:eee:jotrge:v:17:y:2009:i:5:p:385-395 is not listed on IDEAS
    9. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    10. repec:bla:jorssa:v:180:y:2017:i:1:p:119-139 is not listed on IDEAS
    11. repec:eee:jotrge:v:24:y:2012:i:c:p:206-214 is not listed on IDEAS
    12. repec:taf:rjusxx:v:22:y:2018:i:1:p:17-37 is not listed on IDEAS

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