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Title: GIS-Based Evaluation of Spatial Interactions by Geographic Disproportionality of Industrial Diversity
Authors: Lee, Jemyung
Hoshino, Satoshi  kyouindb  KAKEN_id
Author's alias: 星野, 敏
Keywords: gravity model
demographic attraction force
entropy
industrial diversity
spatial imbalance
classification by profit level
Issue Date: 8-Nov-2017
Publisher: MDPI AG
Journal title: ISPRS International Journal of Geo-Information
Volume: 6
Issue: 11
Thesis number: 352
Abstract: Diversity of regional industry is regarded as a key factor for regional development, as it has a positive relationship with economic stability, which attracts population. This paper focuses on how the spatial imbalance of industrial diversity contributes to the population change caused by inter-regional migration. This paper introduces a spatial interaction model for the Geographic Information System (GIS)-based simulation of the spatial interactions to evaluate the demographic attraction force. The proposed model adopts the notions of gravity, entropy, and virtual work. An industrial classification by profit level is introduced and its diversity is quantified with the entropy of information theory. The introduced model is applied to the cases of 207 regions in South Korea. Spatial interactions are simulated with an optimized model and their resultant forces, the demographic attraction forces, are compared with observed net migration for verification. The results show that the evaluated attraction forces from industrial diversity have a very significant, positive, and moderate relationship with net migration, while other conventional factors of industry, population, economy, and the job market do not. This paper concludes that the geographical quality of industrial diversity has positive and significant effects on population change by migration.
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
URI: http://hdl.handle.net/2433/233932
DOI(Published Version): 10.3390/ijgi6110352
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