Exploring Regionalization in the Network Urban Space

Xinyue Ye, Bing She, Samuel Benya

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Isotropic homogeneity does not hold in urban areas. Street networks exert a great influence on human mobility. As a result, city structure is largely shaped by this network, especially the streets that carry a higher volume of traffic. In practice, small areas along network edges often need to be grouped into regions for management purposes. This work formalizes the extension to the P-regions problem that takes the network as the underlying constraint and proposes a heuristic-based approach to solve the problem to near optimality. The network is subdivided into aggregator edges that attract regions and separator regions that divide areas apart. Two types of regions emerge in the region formation process: regions that grow along a certain network edge (network regions) and regions that grow from areas that are far away from all the network edges (planar regions). The heuristic solution effectively uses pre-computed spatial contiguity and distance matrices. The global objective function consists of the original heterogeneity factor and the discounted network proximity factor. This approach is elaborated with both a simulated and a real-world dataset. The regionalization results help design, study, and service regions that explicitly consider the network configuration with flexible parameter controls.

Original languageEnglish (US)
Article number4
JournalJournal of Geovisualization and Spatial Analysis
Volume2
Issue number1
DOIs
StatePublished - Jun 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)
  • Geography, Planning and Development

Keywords

  • China
  • Heuristics
  • Network constraints
  • P regions
  • Regionalization
  • Streets

Fingerprint Dive into the research topics of 'Exploring Regionalization in the Network Urban Space'. Together they form a unique fingerprint.

Cite this