A flexible accessibility analysis tool for enhanced urban analytics

Yuchao Sun, Gary McCarney, Soheil Sabri, Sam Amirebrahimi, Muyiwa Agunbiade, Yiqun Chen, Azadeh Keshtiarast, Mohsen Kalantari, Callan Bright, Doina Olaru, Mark Reynolds, Abbas Rajabifard, Sharon Biermann

Research output: Chapter in Book/Conference paperConference paper

7 Citations (Scopus)

Abstract

Most existing accessibility analysis tools are ad-hoc systems with predetermined geographic coverage, spatial resolution, methodology and indicators, which are difficult to change without involving the original developers. This might partially explain why accessibility largely remains in the hands of academics and there is low uptake among transport and planning practitioners. The Urban Analytics Data Infrastructure (UADI) Accessibility Tool was designed as the first step to fill in this gap by empowering users. The goal is to provide a generic tool, by which agencies can insert their available data and geography to map accessibility without requiring GIS background. Using an opportunity-based metric, UADI lets the users select their own analysis areas, at their chosen resolution, for any given indicator, e.g. residents’ access to jobs, education and services; and businesses’ access to the labour pool or potential clients/customers.
Original languageEnglish
Title of host publicationAustralasian Transport Research Forum 2017 Proceedings
Place of PublicationNew Zealand
PublisherAustralasian Transport Research Forum
Publication statusPublished - 27 Nov 2017
EventAustralasian Transport Research Forum 2017 - Auckland, New Zealand
Duration: 27 Nov 201729 Nov 2017

Conference

ConferenceAustralasian Transport Research Forum 2017
CountryNew Zealand
CityAuckland
Period27/11/1729/11/17

Fingerprint Dive into the research topics of 'A flexible accessibility analysis tool for enhanced urban analytics'. Together they form a unique fingerprint.

Cite this