Organic and Rational Spatial Interaction of Romanian City Regions

2022 ◽  
Author(s):  
Tomaz Ponce Dentinho ◽  
Gabriela Carmen Pascariu ◽  
Daniela Luminita Constantin ◽  
Cristina Serbanica Pandelica ◽  
PATRICIO AROCA



2019 ◽  
Vol 63 (1) ◽  
pp. 39-49
Author(s):  
Philip Harrison

Abstract The bulk of the scholarly literature on city-regions and their governance is drawn from contexts where economic and political systems have been stable over an extended period. However, many parts of the world, including all countries in the BRICS, have experienced far-reaching national transformations in the recent past in economic and/or political systems. The national transitions are complex, with a mix of continuity and rupture, while their translation into the scale of the city-region is often indirect. But, these transitions have been significant for the city-region, providing a period of opportunity and institutional fluidity. Studies of the BRICS show that outcomes of transitions are varied but that there are junctures of productive comparison including the ways in which the nature of the transitions create new path dependencies, and way in which interests across territorial scales soon consolidate, producing new rigidities in city-region governance.









2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Satyaki Roy ◽  
Preetom Biswas ◽  
Preetam Ghosh

AbstractCOVID-19, a global pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 virus, has claimed millions of lives worldwide. Amid soaring contagion due to newer strains of the virus, it is imperative to design dynamic, spatiotemporal models to contain the spread of infection during future outbreaks of the same or variants of the virus. The reliance on existing prediction and contact tracing approaches on prior knowledge of inter- or intra-zone mobility renders them impracticable. We present a spatiotemporal approach that employs a network inference approach with sliding time windows solely on the date and number of daily infection numbers of zones within a geographical region to generate temporal networks capturing the influence of each zone on another. It helps analyze the spatial interaction among the hotspot or spreader zones and highly affected zones based on the flow of network contagion traffic. We apply the proposed approach to the daily infection counts of New York State as well as the states of USA to show that it effectively measures the phase shifts in the pandemic timeline. It identifies the spreaders and affected zones at different time points and helps infer the trajectory of the pandemic spread across the country. A small set of zones periodically exhibit a very high outflow of contagion traffic over time, suggesting that they act as the key spreaders of infection. Moreover, the strong influence between the majority of non-neighbor regions suggests that the overall spread of infection is a result of the unavoidable long-distance trips by a large number of people as opposed to the shorter trips at a county level, thereby informing future mitigation measures and public policies.



1981 ◽  
Vol 13 (2) ◽  
pp. 217-224 ◽  
Author(s):  
J Ledent

This paper compares the system of equations underlying Alonso's theory of movement with that of Wilson's standard family of spatial-interaction models. It is shown that the Alonso model is equivalent to one of Wilson's four standard models depending on the assumption at the outset about which of the total outflows and/or inflows are known. This result turns out to supersede earlier findings—inconsistent only in appearance—which were derived independently by Wilson and Ledent. In addition to this, an original contribution of this paper—obtained as a byproduct of the process leading to the aforementioned result—is to provide an exact methodology permitting one to solve the Alonso model for each possible choice of the input data.



2021 ◽  
Vol 1 (8) ◽  
Author(s):  
Cristian Silva ◽  
Francisco Vergara-Perucich

AbstractUrban sprawl has been widely discussed in regard of its economic, political, social and environmental impacts. Consequently, several planning policies have been placed to stop—or at least restrain—sprawling development. However, most of these policies have not been successful at all as anti-sprawl policies partially address only a few determinants of a multifaceted phenomenon. This includes processes of extended suburbanisation, peri-urbanisation and transformation of fringe/belt areas of city-regions. Using as a case study the capital city of Chile—Santiago—thirteen determinants of urban sprawl are identified as interlinked at the point of defining Santiago's sprawling geography as a distinctive space that deserves planning and policy approaches in its own right. Unpacking these determinants and the policy context within which they operate is important to better inform the design and implementation of more comprehensive policy frameworks to manage urban sprawl and its impacts.



2021 ◽  
Author(s):  
Antonio J. Perea ◽  
Thorsten Wiegand ◽  
José L. Garrido ◽  
Pedro J. Rey ◽  
Julio M. Alcántara


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