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Spatial Network Analysis of Public Transport Accessibility

Spatial Network Analysis of Public Transport Accessibility. Angela Hull and Saleem Karou. Components of accessibility in model. Source: Geurs and Wee, 2004. Accessibility measures/ indicators.

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Spatial Network Analysis of Public Transport Accessibility

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  1. Spatial Network Analysis of Public Transport Accessibility Angela Hull and Saleem Karou

  2. Components of accessibility in model Source: Geurs and Wee, 2004

  3. Accessibility measures/ indicators • Time access to city centre. representing the actual morning peak hour travel time between a zone and the Central Business Distract (CBD). • A contour measure. describing the total number of economic activities or destinations within a maximum travel time determined based on the trip purpose.

  4. 3. A potential accessibility measure. A gravity-based measure using the travel time between data zones, weighted by the quantity of activity opportunities per zone.

  5. EdinburghGIS model • 549 Data Zones with population 500 – 1000 each • 2008-09 data on land use attributes of each zone including population, employment, retail, health, education, and recreation stored in its own centroid • For larger zones, centroids calculated on basis of population location

  6. 2010 Baseline (i) Access to the CBD: Parity in journey time between private motorised and public transport; (ii) Bus services

  7. Research questions • What is the change in spatial accessibility by public transport within the case study area resulting from the planned enhancements to the local transport network? • What is the contribution of that change toincreasing or reducing inequality (measured by accessibility to urban facilities) across case study area? • Where are the gaps in the distribution of the main urban facilities (health, retail, and education facilities) in Edinburgh in terms of the access to their locations by public transport?

  8. Ex ante evaluation of strategic transport options

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