scholarly journals AN IMPROVEMENT OF RESIDENTIAL LOCATION MODEL BY USING SPATIAL INTERACTION MODEL : A study on the spatial interaction model by entropy maximizing methodology

1995 ◽  
Vol 60 (477) ◽  
pp. 133-142
Author(s):  
Shichen ZHAO ◽  
Satoshi HAGISHIMA ◽  
Atsushi DEGUCHI ◽  
Takeru SAKAI ◽  
Shinji IKARUGA
1979 ◽  
Vol 11 (5) ◽  
pp. 527-539 ◽  
Author(s):  
Irena Chudzyńska ◽  
Z Słodkowski

A mathematical model of urban spatial interaction based on the intervening-opportunities principle is discussed and its equilibria are studied. It is shown that, under natural assumptions, the number of equilibria is finite, and a mathematical criterion for distinguishing the equilibrium corresponding to reality is given.


2014 ◽  
Vol 1065-1069 ◽  
pp. 2525-2529
Author(s):  
Bo Yuan ◽  
Zhi Xia Zhang ◽  
Jian Zheng

Due to the complicated development process, larger operation difficulty, higher development costs of the commercial real estate, the location selection problem is critical to project success or failure. Based on the location variables and design variables as decision variables, the design variables are expanded as double factors variables, combining the spatial interaction model combined with the greedy algorithm, competitive environment of commercial complex intercepting location model is built. Combined with a practical example, the validity of the model for commercial complex location is verified, the average running time is compared between the heuristic algorithms and the enumeration method, the results show that: commercial complex intercepting location model can quickly and effectively locate the commercial facilities, and provide a theoretical basis for locating commercial complex construction projects.


2020 ◽  
Vol 12 (10) ◽  
pp. 4324
Author(s):  
Felipa de Mello-Sampayo

This manuscript develops a theoretical spatial interaction model using the entropy approach to relax the assumption of the deterministic utility function. The spatial healthcare accessibility improves as the demand for healthcare increases or the opportunity cost of traveling to and from healthcare providers decreases. The empirical application used different spatial econometric techniques and multilevel modeling to evaluate the spatial distribution of existing hospitals in Texas and their social and economic correlates. To control for spatial autocorrelation, spatial autoregressive regression models were estimated, and geographically weighted regression models examined potential spatial non-stationarity. The multilevel modeling controlled for spatial autocorrelation and also allowed local variation and spatial non-stationarity. The empirical analysis showed that healthcare accessibility was not stationary in Texas in 2015, with areas of poor accessibility in rural and peripheral areas in Texas, when using hospitals’ location and county data. The model of spatial interaction applied to healthcare accessibility can be used to evaluate policies aiming at the provision of health services, such as closures of hospitals and capacity increases.


1982 ◽  
Vol 14 (6) ◽  
pp. 823-837 ◽  
Author(s):  
B Harris ◽  
J-M Choukroun ◽  
A G Wilson

In previous research it has been shown that discrete changes in spatial patterns of supply in the production-constrained spatial-interaction model arise from changes in parameters such as α and β In this case, pattern changes are explored as a function of the given population distributions. This shows the existence of new kinds of critical points.


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