Online Content

1. Despotakis, Vassilios K. with Maria Giaoutzi, "Spatial Modeling of Urban Dynamics"

Type:
Document
Date Created:
1996
Collection:
System Dynamic Society Records
Collecting Area:
University Archives
Collection ID:
ua435
Parent Record(s):
227da936724c4223c5a64764d3922694, ca4810593b2703dcaa087957ab13af91, and 23d738ba88f8333bc39725f9cb5bd0b8
Thumbnail Path Ss:
/downloads/z029pp42h?file=thumbnail
System Modified Dtsi:
2020-01-02T18:55:42Z
Description:
Nowadays, one of the basic conceptual tools for analyzing the economic, ecological and social aspects of urban dynamics, is the paradigm of sustainable development (Giaoutzi and Nikamp 1989, 1993; Nijkamp 1990; van den Bergh, 1991). The basic tool on the other hand, which has been extensively used to analyze spatio-temporal aspects of urban dynamics, during the last decade is the Geographical Information Systems (GSI) (Burrough 1983, 1991; Dangermond 1990, Despotakis, 2991a, b). These two approaches can be linked into an integrated tool which aims to sustainability to GIS. Spatial non-dynamic dispersion and spatial diffusion models have previously been constructed by various researchers such as in the Hagerstrand model (Morril et al., 1988) gravity models (Haynes and Fotheringham, 1988; Trevor and Munford, 1991), transportation models (Wemer, 1988; Hagishima et al., 1987) etc. In all these models the development process is regarded in a non-dynamic perspective and the object propagation in space due to this development is calculated by the perspective and the object propagation in space due to this development is calculated by the deterministic models at any specific time point. Spatial flow models that used only the distance as a spatial parameter indicated strong spatial correlation of the model residual. (Baxter, 1987). Therefore, model misspecification may occur when not all spatial registrations (e.g., a 3-D local or national reference coordinate systems) are properly taken into account. On the other hand, several studies using GSI for monitoring (mainly urban) development have also been carried out in the past (Meaille and Wald, 1990; Lo and Shipman, 1990). These approaches despite the fact that they give very useful results for monitoring urban development, do not incorporate scenario generation techniques, so that the regional sustainability criteria can be applied, not only in an "external event" scenario mode but also in a "policy" and "behavioural" scenario mode. Finally pioneering studies in applying GIS to "conservation databases generation" (a concept that is close to Spatial Dynamics considerations) have also been conducted in the past (see e.g., Ahearn et al., 1900), but again the spatial dynamics have not been considered. From the above discussion follows that a missing node exists between the field of geographical information systems (GIS) modeling and the non-spatial SD modeling which will integrate both fields in a dynamic sense. In the paper the aim has been to provide this link in both a theoretical and practical sense.'