The Network-Max-P-Regions model. Issue 5 (4th May 2017)

• Record Type: Journal Article
• Authors: She, Bing; Duque, Juan C.; Ye, Xinyue
• Is Part Of: International journal of geographical information science. Volume 31:Issue 5(2017)
• Page Start: 962
• Page End: 981
• Publication Date: 2017-05-04
• Subjects: Network-Max-P-Regions -- heuristics -- spatial contiguity -- streets -- regionalization; Geography -- Data processing -- Periodicals; Information storage and retrieval systems -- Periodicals; Géomatique -- Périodiques; Systèmes d'information -- Périodiques; 910.285
• DOI: 10.1080/13658816.2016.1252987
• Languages: English
• ISSNs: 1365-8816

Abstract

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.