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Title:

Generating Sidewalk Network Using Roadway Network and Parcel Data

Accession Number:

01556688

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Good quality pedestrian infrastructure is vital to a safe, accessible, equitable, and sustainable transportation system. Planners recognize the benefits of providing high-quality pedestrian infrastructure, but often lack the asset management systems necessary to prioritize and track the implementation of sidewalk improvement projects. The pre-requisite of a sidewalk asset management system is a sidewalk network database. However, unlike the roadway network, a comprehensive sidewalk network database is not yet available for the transportation community to effectively manage sidewalk infrastructure. This paper introduces an affordable, automated and easy-to-implement process to generate GIS-based networks for sidewalks that are parallel to existing roadway networks and to generate associated links and nodes for crosswalks at the intersections. The automated methodology developed in this study employs parcel data and road network data, both of which are publicly available and free in most cases, with a series of GIS functions and spatial programming to generate a sidewalk network of links representing each side of the streets. Further, Perl spatial scripts are implemented to generate crosswalk links and nodes. The proposed method requires little computational resources, and tremendously reduces the manual labor required to develop a sidewalk and crosswalk network. An application to an Atlanta, Georgia neighborhood is presented, and the performance of the method is assessed.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ35 Highway Traffic Monitoring.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5531

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Khoeini, Sara
Elango, Vetri Venthan
Xu, Yanzhi
Guensler, Randall

Pagination:

15p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Atlanta (Georgia)

Subject Areas:

Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5531

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:52PM