Visually Analyzing Latent Accessibility Clusters of Urban POIs

Farah Kamw, Shamal AL-Dohuki, Ye Zhao, Jing Yang, Xinyue Ye, Wei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Accessibility of urban POIs (Points of Interest) is a key topic in a variety of urban sciences and applications as it reflects inherent city design, transportation, and population flow features. Isochrone maps and other techniques have been used to identify and display reachable regions from given POIs. In addition, domain experts further want to study the distribution effects of accessibility in the urban space such as finding spatial regions that have different accessibility patterns. Such patterns can be manifested by clustering POIs based on their accessibility of different time periods under different traffic conditions. In this paper, we present a visualization system that helps users to find and visualize Latent Accessibility Clusters (LACs) of POIs. The LACs discover temporally changing urban sub-regions (including nearby POIs) with disparate accessibilities at different times. LACs are computed by a POIGraph which connects POIs into a graph structure by extending the dual road network of the corresponding city. The LAC computation is facilitated by graph traversal over the POIGraph. By visualizing the LAC regions on the map, users can visually study the hidden patterns of spatial accessibility. It can contribute to urban transportation, planning, business, and related social sciences.

Original languageEnglish (US)
Title of host publicationEuroVA 2019 - EuroVis Workshop on Visual Analytics
EditorsDieter Fellner
PublisherEurographics Association
Number of pages5
ISBN (Electronic)9783038680871
StatePublished - 2019
Externally publishedYes
Event10th International EuroVis Workshop on Visual Analytics, EuroVA 2019 at EuroVis 2019 - Porto, Portugal
Duration: Jun 3 2019 → …

Publication series

NameInternational Workshop on Visual Analytics
ISSN (Electronic)2664-4487


Conference10th International EuroVis Workshop on Visual Analytics, EuroVA 2019 at EuroVis 2019
Period6/3/19 → …

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Software


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