Introducing the Pedestrian Accessibility Tool: Walkability Analysis for a Geographic Information System

The indexes for walkability proposed so far refer generally to the closest amenities and public transport stops and the existing network structure. The weights of the attributes do not reflect the independently measured preferences of the users and residents. Design attributes such as the location and type of crossings and walkway design features are usually surveyed in walkability audits. However, such attributes are usually not considered when pedestrian walksheds or other accessibility-based walkability indexes are calculated. Nevertheless, these design attributes are very relevant for actual planning decisions. The proposed walkability index can be behaviorally calibrated, has been implemented as a geographic information system tool, and is published as open source software. The pedestrian accessibility tool allows the evaluation of existing and future urban plans with regards to walkability. The tool calculates Hansen-based accessibility indicators with the use of a customizable specification of the generalized walking costs, and it incorporates user-defined weights of destination attractiveness. The basic user workflow of the tool is summarized. Three case studies show real-world applications of the tool to support the planning of pedestrian infrastructure in an urban context. With indications of potential areas of improvement that have been reported by pilot users working in an urban planning department, hints are also given for future research.

[1]  William H. Greene,et al.  School Location and Student Travel Analysis of Factors Affecting Mode Choice , 2004 .

[2]  Marc Schlossberg,et al.  An Assessment of GIS-Enabled Walkability Audits , 2007 .

[3]  Susan L Handy,et al.  Measuring Nonmotorized Accessibility and Connectivity in a Robust Pedestrian Network , 2012 .

[4]  W. G. Hansen How Accessibility Shapes Land Use , 1959 .

[5]  Emily Talen,et al.  Measuring Walkability: A Note on Auditing Methods , 2014 .

[6]  J. Speck Walkable City: How Downtown Can Save America, One Step at a Time , 2012 .

[7]  Sony Sulaksono Wibowo,et al.  Modeling walking accessibility to public transport terminals: case study of singapore mass rapid transit , 2005 .

[8]  B. Saelens,et al.  Built environment correlates of walking: a review. , 2008, Medicine and science in sports and exercise.

[9]  Ahmed M El-Geneidy,et al.  Measuring Nonmotorized Accessibility: Issues, Alternatives, and Execution , 2008 .

[10]  N Gallin Quantifying Pedestrian Friendliness - Guidelines for Assessing Pedestrian Level of Service , 2001 .

[11]  R. Cervero,et al.  Travel Choices in Pedestrian Versus Automobile Oriented Neighborhoods - eScholarship , 1995 .

[12]  A. Erath Modelling for Walkability: understanding pedestrians’ preferences in Singapore , 2015 .

[13]  Jennifer Dill,et al.  Pedestrian Route Choice Model Estimated from Revealed Preference GPS Data , 2015 .

[14]  Reid Ewing,et al.  Travel and the Built Environment , 2010 .

[15]  Andy P. Jones,et al.  Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity , 2013, International Journal of Behavioral Nutrition and Physical Activity.

[16]  J. Sallis,et al.  Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[17]  John Morrall,et al.  Analysis of factors affecting the choice of route of pedestrians , 1985 .

[18]  Ricardo Hurtubia,et al.  Using Images to Measure Qualitative Attributes of Public Spaces through SP Surveys , 2015 .

[19]  Kelly R Evenson,et al.  Influence of the Built Environment on Pedestrian Route Choices of Adolescent Girls , 2015, Environment and behavior.