Purpose:This work provides an analysis and an optimization model of the spatial impact for the externalities derived from urban regeneration and rehabilitation of degraded and segregated historic heritage areas.Design/Methodology/Approach: From the amount invested and state intervention locations, an impact index is put forward. The spatial distribution of these impact indexes in the interventions' area of influence will be the basis for the analysis. Hence, by setting some specific objectives of the decision agent about this distribution homogeneity, and with the aim of avoiding inner segregation and to facilitate the sustainable urban development and cohesion of the neighborhood as a whole, a model which will allow the allocation of the budget available among the different locations fixed a priori is proposed. Findings:By comparing the spatial distributions of impact indexes obtained in both situations, a measure of the urban regeneration and rehabilitation process and its impact can be obtained. Originality/value:In order to favour the neighborhood internal cohesion and to avoid inner segregation, the model enables to better address priority areas of intervention inside a historic heritage urban area and to better achieve sustainable urbanization by providing a more equitably and efficiently managing of resources.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.