European Regional Science Association
|
European Regional Science Association
|
|
|
|
|
The abstract for paper number 352:
Yorgos N. Photis, Assistant Professor of Spatial Analysis and Locational Planning, Department of Planning and Regional Development, University of Thessaly, Volos, Greece, Konstantia Bessa, PdD Candidate, Department of Planning and Regional Development, University of Thessaly, Volos, Greece
Spatiotemporal analysis of demand, supply and interaction patterns for tertiary services: Bank branch locations in the city of Volos, Greece
One of the critical problem parameters in the location of tertiary sector firms is the maximization of their service area and market share with respect to potential customers and current competition. In this framework, a supply pattern is developed which, in most cases, is supposed to meet the above goals while adjusting to customer needs. In this paper is shown that the relevant patterns of demand, supply and interaction vary both spatially and chronically formulating in this respect, a dynamic and complex system. More specifically, the main aim is the locational analysis of tertiary sector services through the definition of the spatial pattern of demand and supply, which leads to the assessment of current service patterns and the generation of a model that captures the relation between the consumer’s patronizing and the provider’s locational decisions. The spatial unit in such an approach can be any administrative subset of the study are while time intervals of one or two hours throughout a working-day constitute an acceptable time unit.
In the presented case study, the location of bank branch offices is examined in relation to the spatial pattern of actual customers. Data were obtained through personal interviews of customers and bank executives using two different types of questionnaires each of which referred to: With respect to customers, socio-economic and transport characteristics along with the main reasons underlying the patronage of the specific branch office. With respect to bank executive personnel, the main reasons supporting their Locational decision making process along with the socio-economic characteristics of the intended and reported market share that they aim at.
Exploratory data analysis was performed in a GIS environment through the implementation of the Nearest Neighbor Analysis for the definition of the spatial pattern of both demand and supply, following which the partial patterns of spatial interaction were obtained. Subsequently, all the statistically significant parameters were utilised during the formulation of the final multiple regression model. The results of the analysis showed that while supply is mainly clustered demand is in most cases random. Further examination of demand supply subgroups revealed the variations both in space and time, consistent with the proposed model.
Unfortunately full paper has not been submitted.