Next Article in Journal
Consumption-Based Blockchain Accounting of Telecoupled Global Land Resource Debtors and Creditors
Next Article in Special Issue
Characterization and Production of Extracellular Polysaccharides (EPS) by Bacillus Pseudomycoides U10
Previous Article in Journal
U.S. Inland Pacific Northwest Wheat Farmers’ Perceived Risks: Motivating Intentions to Adapt to Climate Change?
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Environments 2018, 5(4), 50;

A Multi-Criteria Analysis Model for Investment Projects in Smart Cities

Department of Civil Engineering, University of Salerno, 84084 Fisciano, Italy
Author to whom correspondence should be addressed.
The contribution to this paper is the result of the joint work of both Authors, to which the paper has to be attributed in equal parts.
Received: 22 February 2018 / Revised: 4 April 2018 / Accepted: 15 April 2018 / Published: 23 April 2018
PDF [312 KB, uploaded 3 May 2018]


A city plays a central role in the processes of economic, social, and environmental development, becoming the core of policy makers’ strategies. Thus, it is essential to optimize the use of monetary resources available by means of integrated decision-support approaches, able to pursue an increasingly “instrumented, interconnected and intelligent” cities prototype. In this perspective, the Smart City paradigm addresses the challenges of sustainable development through the implementation of new spatial planning schemes, which require the selection of projects on the basis of multi-criteria economic evaluation logics, namely financial and extra-financial criteria. The purpose of the work is to define an innovative model of economic analysis for the choice of investments in a Smart City, useful for both public operators and private investors. The evaluation protocol is written in the A Mathematical Programming Language (AMPL) through the optimization algorithms of Discrete Linear Programming (DLP). The effectiveness, adaptability, and operational simplicity of the investigative tool are tested on a case study. The model’s limitations and research perspectives are highlighted in the conclusions of the work. View Full-Text
Keywords: economic evaluation; optimization algorithms; multicriteria models; sustainability; smart city economic evaluation; optimization algorithms; multicriteria models; sustainability; smart city
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Nesticò, A.; De Mare, G. A Multi-Criteria Analysis Model for Investment Projects in Smart Cities. Environments 2018, 5, 50.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Environments EISSN 2076-3298 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top