The Network-Max-P-Regions model

Bing She; Juan C. Duque; Xinyue Ye

doi:10.1080/13658816.2016.1252987

The Network-Max-P-Regions model

Bing She
, Juan C. Duque
, Xinyue Ye

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

This paper introduces a new p-regions model called the Network-Max-P-Regions (NMPR) model. The NMPR is a regionalization model that aims to aggregate n areas into the maximum number of regions (max-p) that satisfy a threshold constraint and to minimize the heterogeneity while taking into account the influence of a street network. The exact formulation of the NMPR is presented, and a heuristic solution is proposed to effectively compute the near-optimized partitions in several simulation datasets and a case study in Wuhan, China.

Original language	English (US)
Pages (from-to)	962-981
Number of pages	20
Journal	International Journal of Geographical Information Science
Volume	31
Issue number	5
DOIs	https://doi.org/10.1080/13658816.2016.1252987
State	Published - May 4 2017
Externally published	Yes

All Science Journal Classification (ASJC) codes

Information Systems
Geography, Planning and Development
Library and Information Sciences

Keywords

Network-Max-P-Regions
heuristics
regionalization
spatial contiguity
streets

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10.1080/13658816.2016.1252987

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AU - Ye, Xinyue

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KW - heuristics

KW - regionalization

KW - spatial contiguity

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IS - 5

ER -

The Network-Max-P-Regions model

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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