The Influence of the Zonation Effect on a System of Hierarchical Functional Regions
Author:
Drobne Samo1, Lakner Mitja1
Affiliation:
1. Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana , Slovenia
Abstract
Abstract
Background: Hierarchical functional regions (FRs) can be calculated using data on interactions between basic spatial units (BSUs) and a hierarchical aggregation procedure. However, the results depend on the selected system of initial BSUs. In spatial sciences, this is known as the zonation effect, which is one of the effects of the Modifiable Areal Unit Problem (MAUP). Objectives: In this paper, we analyse the influence of the zonation effect on a system of hierarchical functional regions. Methods/Approach: We compared two systems of hierarchical functional regions of Slovenia modelled by the Intramax aggregation procedure using the inter-municipal labour commuting flows for the same year, but for two different initial sets of municipalities. Besides, we have introduced a new measure to compare systems of hierarchical FRs. Results: The results show that the zonation effect has an influence on hierarchical functional regions. The clustering comparison measure suggested here is a metric measure, which is appropriate for comparing hierarchical FRs. Conclusions: The zonation effect has influence on hierarchical FRs. The clustering comparison measure suggested in this paper is easy to interpret, but it should be adjusted for the number of clusterings
Publisher
Walter de Gruyter GmbH
Subject
Management of Technology and Innovation,Economics, Econometrics and Finance (miscellaneous),Information Systems,Management Information Systems
Reference33 articles.
1. 1. Brown, P. J. B., Hincks, S. (2008), “A Framework for Housing Market Area Delineation: Principles and Application”, Urban Studies, Vol. 45, No. 11, pp. 2225-2247. 2. 2. Brown, P. J. B., Pitfield, D. E. (1990), “The Intramax derivation of commodity market structures from freight flow data”, Transportation Planning and Technology, Vol. 15, No. 1, pp. 59-81. 3. 3. Drobne, S. (2016), “Model vrednotenja števila in območij funkcionalnih regij” (“A Model Evaluating the Number and Areas of Functional Regions”; in Slovene only), Doctoral thesis, University of Ljubljana, Faculty of Civil and Geodetic Engineering, Ljubljana. 4. 4. Drobne, S., Bogataj, M. (2014), “Regions for Servicing Old People: Case study of Slovenia”, Business systems research journal, Vol. 5, No. 3, pp. 19-36. 5. 5. Drobne, S., Bogataj, M. (2015), “Optimal allocation of public service centres in the central places of functional regions”, in 15th IFAC/IEEE/IFIP/IFORS Symposium on Information Control Problems in Manufacturing, INCOM 2015, IFAC, Ottawa, pp. 2449-2454.
|
|