Cities and territories are being called upon to face the strategic challenges involved by sustainable development, based on the complexity of the interactive perspectives, in line with stakeholders’ interests and constraints about the limited financial available resources. In this context, the integrated approaches for decision making relating in particular to urban planning and design in accordance with guidelines for Smart Cities, provide for a resolution of different scenarios having a complex nature thus helping to define programming procedures designed to return a model of a smart city based on the best use of the funds. The paper proposes a multi-criteria economic analysis model for a selection of investment projects that considers not only financial but also social, cultural and environmental parameters in order to examine the real sustainability of initiatives to be taken in urban areas. The model is defined in a mathematical programming language (AMPL) with the optimization algorithms typical of Discrete Linear Programming and it is tested on case studies.
An Optimization Algorithm for the Selection of Investment Projects in Smart Cities
Nestıcò Antonio
;De Mare Gianluigi;
2017-01-01
Abstract
Cities and territories are being called upon to face the strategic challenges involved by sustainable development, based on the complexity of the interactive perspectives, in line with stakeholders’ interests and constraints about the limited financial available resources. In this context, the integrated approaches for decision making relating in particular to urban planning and design in accordance with guidelines for Smart Cities, provide for a resolution of different scenarios having a complex nature thus helping to define programming procedures designed to return a model of a smart city based on the best use of the funds. The paper proposes a multi-criteria economic analysis model for a selection of investment projects that considers not only financial but also social, cultural and environmental parameters in order to examine the real sustainability of initiatives to be taken in urban areas. The model is defined in a mathematical programming language (AMPL) with the optimization algorithms typical of Discrete Linear Programming and it is tested on case studies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
