Sustainable Cities: A KPI-Driven Sustainable Evaluation Framework for Smart Cities

Cities are currently dealing with the sustainable transition from carbon-based economies to carbon-neutral cities. The H2020 mySMARTLife project seeks to demonstrate innovative technologies through the implementation of about 150 innovative energy solutions in the cites of Nantes, Hamburg and Helsinki. The evaluation framework that was defined and validated in the project enables the assessment of the environmental, energy, economic, social, ICT and governance aspects of replicable and sustainable smart city solutions with a high market potential. The main features and the process for their definition will be described in this paper.

Ensuring Sustainable Evaluation: How to Improve Quality of Evaluating Grant Proposals?

The principle of sustainable development is an obligation placed on all entities involved in the implementation and delivery of the structural funds made available not only by the European Commission but also by grant donors from all over the world. For this reason, when applying for a grant, proposals need to demonstrate the positive or neutral impact of the project on sustainable development. To be able to select projects that will ensure sustainability, we need to ensure the effective evaluation of the proposals. The process of their evaluation should be objective, unbiased and transparent. However, current processes have several limitations. The process by which grants are awarded and proposals evaluated has come under increasing scrutiny, with a particular focus on the selection of reviewers, fallibility of their assessments, the randomness of assessments and the low level of common agreement. In our studies, we demonstrated how some of those limitations may be overcome. Our topic of interest is the work of reviewers/experts who evaluate scientific grant proposals. We analyse data coming from two prominent scientific national grant foundations, which differ in terms of expert’s selection procedure. We discuss the problems associated with both procedures (rating style of the reviewers, lack of calibration and serial position effect) and present potential solutions to prevent them. We conclude that, to increase the unbiasedness and fairness of the evaluation process, reviewers’ work should be analysed. We also suggest that, within a certain panel, all grant proposals should be evaluated by the same set of reviewers, which would help to eliminate the distorting influence of the selection of a very severe or very lenient expert. Such effective assessment and moderation of the process would help ensure the quality and sustainability of evaluations.

Total Sustainable Evaluation for Road Projects

Quality of Infrastructure became indispensable to the innovation-driven development. Poor infrastructure quality means more extra costs for operation and maintenance, in addition to un-studied impacts on the surrounding environment and society. To eliminate the bad impacts and the extra costs, sustainability must be applied in all infrastructure projects. Sustainability represents one of the latest degree subjects that have various trials to connect the social science with the engineering and the environmental science with the future technology. The objective of this research is to provide an integrated sustainable evaluation system (ISES) for quantifying all impacts of road projects. The proposed evaluation system took into consideration the different phases of project including construction phase and operational phase. The different impacts of road projects were divided into three main classifications; the project economic costs to include costs of project construction and operation; the environmental impacts; and the social impacts. Furthermore, a real case study was discussed to validate the research methodology, where it was concluded that the environmental and social impacts have the main impact on project decision and according to the ISES value, the case study road has a sustainable impact on the surrounding environment and society.

A Sustainable Evaluation Processes for Investments in the Transport Sector: A Combined Multi-Criteria and Cost–Benefit Analysis for a New Highway in Italy

In the transport sector, a rational and shared planning process is commonly based on the comparison of different design alternatives through quantitative evaluations and stakeholders’ engagement. Among the most adopted evaluation methods, there are cost–benefit analysis (CBA) and multi-criteria analysis (MCA). Both these methods have strengths and weaknesses, which do not allow the conclusion that one technique is dominant over the other. Starting from these considerations, the aim of this paper is to propose a sustainable evaluation process for investments in the transport sector, based on the combined use of both CBA and MCA analysis and a stakeholders’ engagement. The proposed evaluation method was also applied to a real case study: the decision-making process for a new highway in a high naturalistic and touristic area in north of Italy. Furthermore, a “weighted criteria process definition” based on the Delphi method was also performed within a public engagement process. Research results show that the application of both the evaluation analyses (CBA and MCA) allows the selection of the most rational althernative from a sustainable, shared and technical point of view. Precisely, the estimations performed underline that the CBA analysis significantly underestimated the non-users’ benefits, while the opposite occurred for the MCA analysis. The incidence of the non-users’ benefits is only the 14% of the total for the CBA, while it reaches more than the 79% for the MCA. This result is very relevant underling how, for a decision-making processes aimed in comparing different design alternatives for which non-users impacts are expected as relevant against the users ones, the unique application of the most consolidated CBA analyses are not always adequate, while the joint use of the two evaluation methods ensures robust and rational choices for a sustainable development.

GIS-Enabled Digital Twin System for Sustainable Evaluation of Carbon Emissions: A Case Study of Jeonju City, South Korea

Despite the growing interest in digital twins (DTs) in geospatial technology, the scientific literature is still at the early stage, and concepts of DTs vary. In common perspectives, the primary goals of DTs are to reduce the uncertainty of the physical systems in real-world projects to reduce cost. Thus, this study is aimed at developing a structural schematic of a geographic information system (GIS)-enabled DT system and exploring geospatial technologies that can aid in deploying a DT system for a real-world project—in particular, for the sustainable evaluation of carbon emissions. The schematic includes three major phases: (1) data collection and visualization, (2) analytics, and (3) deployment. Three steps are designed to propose an optimal strategy to reduce carbon emissions in an urban area. In the analytics phase, mapping, machine learning algorithms, and spatial statistics are applied, mapping an ideal counterpart to physical assets. Furthermore, not only are GIS maps able to analyze geographic data that represent the counterparts of physical assets but can also display and analyze spatial relationships between physical assets. In the first step of the analytics phase, a GIS map spatially represented the most vulnerable area based on the values of carbon emissions computed according to the Intergovernmental Panel on Climate Change (IPCC) guidelines. Next, the radial basis function (RBF) kernel algorithm, a machine learning technique, was used to forecast spatial trends of carbon emissions. A backpropagation neural network (BPNN) was used to quantitatively determine which factor was the most influential among the four data sources: electricity, city gas, household waste, and vehicle. Then, a hot spot analysis was used to assess where high values of carbon emissions clustered in the study area. This study on the development of DTs contributes the following. First, with DTs, sustainable urban management systems will be improved and new insights developed more publicly. Ultimately, such improvements can reduce the failures of projects associated with urban planning and management. Second, the structural schematic proposed here is a data-driven approach; consequently, its outputs are more reliable and feasible. Ultimately, innovative approaches become available and services are transformed. Consequently, urban planners or policy makers can apply the system to scenario-based approaches.