Spatial Interaction and Spatial Structure: A Study on Public Facility Location

1995 ◽  
Vol 77 (3) ◽  
pp. 197
Author(s):  
Ake Forsstrom ◽  
Jun Yamashita
Keyword(s):  
Spatial Structure ◽  
Facility Location ◽  
Spatial Interaction ◽  
Public Facility

Public facility location and urban spatial structure

1992 ◽  
Vol 48 (1) ◽  
pp. 83-118 ◽  
Author(s):  
Jacques-François Thisse ◽  
David E. Wildasin
Keyword(s):  
Spatial Structure ◽  
Facility Location ◽  
Public Facility ◽  
Urban Spatial Structure

scholarly journals Defining Urban Science

2021 ◽  
pp. 15-28
Author(s):  
Michael Batty
Keyword(s):  
Spatial Structure ◽  
Spatial Interaction ◽  
Urban Informatics ◽  
Form And Function ◽  
Urban Science ◽  
Operational Models ◽  
And Function ◽  
The City ◽  
Different Levels

AbstractThis introductory chapter provides a brief overview of the theories and models that constitute what has come to be called urban science. Explaining and measuring the spatial structure of the city in terms of its form and function is one of the main goals of this science. It provides links between the way various theories about how the city is formed, in terms of its economy and social structure, and how these theories might be transformed into models that constitute the operational tools of urban informatics. First the idea of the city as a system is introduced, and then various models pertaining to the forces that determine what is located where in the city are presented. How these activities are linked to one another through flows and networks are then introduced. These models relate to formal models of spatial interaction, the distribution of the sizes of different cities, and the qualitative changes that take place as cities grow and evolve to different levels. Scaling is one of the major themes uniting these different elements grounding this science within the emerging field of complexity. We then illustrate how we might translate these ideas into operational models which are at the cutting edge of the new tools that are being developed in urban informatics, and which are elaborated in various chapters dealing with modeling and mobility throughout this book.

Spatial Flows and Spatial Patterns

1984 ◽  
Vol 16 (4) ◽  
pp. 529-543 ◽  
Author(s):  
A S Fotheringham
Keyword(s):  
Spatial Structure ◽  
Spatial Patterns ◽  
Spatial Interaction ◽  
A Priori ◽  
Parameter Estimates ◽  
Spatial Interaction Models ◽  
Significant Bias ◽  
Spatial System ◽  
Decay Parameters ◽  
Spatial Flows

The misspecification of gravity spatial interaction models has recently been described by the author. The bias in parameter estimates that results from such misspecification appears to produce the ‘map pattern effect’ or ‘spatial structure bias’ in estimated distance-decay parameters. A further aspect of the misspecification bias in gravity parameter estimates is explored here. The severity of the bias is shown to vary in a predictable manner with variations in spatial structure. In particular, the bias is shown to be dependent upon the pattern of accessibility that exists within a spatial system. The relevant aspects of this pattern are discussed for intraurban and interurban (or interregional) flow matrices. It is shown that from an examination of the spatial structure of centres in a spatial system it is possible, a priori, to identify whether significant bias will arise in the calibration of a gravity model. Certain configurations of centres are shown theoretically to produce maximal bias. The author thus answers the question, “why do gravity parameter estimates appear to be biased in some systems but not in others?”

Generalized coverage models and public facility location

1983 ◽  
Vol 53 (1) ◽  
pp. 117-135 ◽  
Author(s):  
Richard L. Church ◽  
Kenneth L. Roberts
Keyword(s):  
Facility Location ◽  
Public Facility ◽  
Coverage Models

Misspecification in Spatial Interaction Models: Further Results

1985 ◽  
Vol 17 (5) ◽  
pp. 673-678 ◽  
Author(s):  
M J Baxter
Keyword(s):  
Spatial Structure ◽  
Spatial Interaction ◽  
Parameter Estimates ◽  
Interaction Models ◽  
Spatial Interaction Models

Commonly used models for data on flows between sets of origins and destinations may often be misspecified because of a failure to account for the influence of spatial structure and other factors that affect flows. General expressions for the bias in parameter estimates that arises from such misspecification are derived for the most usual methods of estimation.

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