Forthcoming shifts towards network-integrated production models, such as In- dustry 4.0, may change industrial organisation and production. As these transformations ad- vance, demands for methods allowing to foresee their effects on urban spaces increase. Urban road-network configurational properties ́ analyses can depict changes in industrial placement tendencies under this new paradigm, enabling planners to design, evaluate industrial com- plexes’ morphology and develop strategies that contribute to urban productive areas resilience and long-term sustainability. This study undertakes methods to perform these analyses using as empirical cases three Brazilian industrial complexes located in Porto Alegre’s Metropolitan Region (PMAR) municipalities of Alvorada, Cachoeirinha Gravataí and Viamão. Hypothesis is that movement potentials and flow probabilities informed by urban road-network centralities’ hierarchies have direct correlation to industrial placement patterns; therefore, higher move- ment distribution can improve endogenous firm-to-firm relations, favouring inner-complexes’ clustering effects. Premises are verified through geo-statistical correlations between road-cir- culation networks centralities, constructed through Space Syntax Angular Analysis method- ology, and industrial structures placement and agglomeration. Results demonstrate significant statistical correlations among structures and road-circulation centralities, indicating greater industrial clustering and occupation in complexes with more distributed movement poten- tials. Hence, complexes’ morphology can inform industrial placement tendencies, and their analyses should be employed as planning tools for sustainable productive environments.

Planning Sustainable Urban-Industrial Configuration. The Influence of Industrial Complexes Morphology on Industrial Placement

Altafini D
Primo
;
Cutini V
2022-01-01

Abstract

Forthcoming shifts towards network-integrated production models, such as In- dustry 4.0, may change industrial organisation and production. As these transformations ad- vance, demands for methods allowing to foresee their effects on urban spaces increase. Urban road-network configurational properties ́ analyses can depict changes in industrial placement tendencies under this new paradigm, enabling planners to design, evaluate industrial com- plexes’ morphology and develop strategies that contribute to urban productive areas resilience and long-term sustainability. This study undertakes methods to perform these analyses using as empirical cases three Brazilian industrial complexes located in Porto Alegre’s Metropolitan Region (PMAR) municipalities of Alvorada, Cachoeirinha Gravataí and Viamão. Hypothesis is that movement potentials and flow probabilities informed by urban road-network centralities’ hierarchies have direct correlation to industrial placement patterns; therefore, higher move- ment distribution can improve endogenous firm-to-firm relations, favouring inner-complexes’ clustering effects. Premises are verified through geo-statistical correlations between road-cir- culation networks centralities, constructed through Space Syntax Angular Analysis method- ology, and industrial structures placement and agglomeration. Results demonstrate significant statistical correlations among structures and road-circulation centralities, indicating greater industrial clustering and occupation in complexes with more distributed movement poten- tials. Hence, complexes’ morphology can inform industrial placement tendencies, and their analyses should be employed as planning tools for sustainable productive environments.
2022
978-88-9295-357-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1135608
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