Communication on Smart City Evaluation and Reporting In UK cities: Pilots, Demos and Experiments Case

Global trends towards urbanisation are associated with wide-ranging challenges and opportunities for cities. Smart technologies create new opportunities for a range of smart city development and regeneration programmes designed to address the environmental, economic and social challenges concentrated in cities. Whilst smart city programmes have received much publicity, there has been much less discussion about the evaluation and measurement of smart city programme outcomes. Existing evaluation approaches have been criticised as non-standard and inadequate, focusing more on implementation processes and investment metrics than on city outcomes and the impacts of smart city programmes. Addressing this, the SmartDframe project aimed to examine city approaches to the evaluation of smart city projects and programmes and reporting of their impacts on city outcomes. A number of ‘smarter’ UK cities were invited to participate, with agreement by city authorities from Birmingham, Bristol, Manchester, Milton Keynes and Peterborough to be interviewed about their smart city work. The findings provide a series of smart city case studies that exemplify contemporary city practices, offering a timely, insightful contribution to city discourse about existing and best practice approaches to evaluation and reporting of complex smart city projects and programmes

Towards evaluation design for smart city development

Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments

A Tale of Evaluation and Reporting in UK Smart Cities

Global trends towards urbanisation are associated with wide-ranging challenges and opportunities for cities. Smart technologies create new opportunities for a range of smart city development and regeneration programmes designed to address the environmental, economic and social challenges concentrated in cities. Whilst smart city programmes have received much publicity, there has been much less discussion about evaluation of smart city programmes and the measurement of their outcomes for cities. Existing evaluation approaches have been criticised as non-standard and inadequate, focusing more on implementation processes and investment metrics than on the impacts of smart city programmes on strategic city outcomes and progress. To examine this, the SmartDframe project conducted research on city approaches to the evaluation of smart city projects and programmes, and reporting of impacts on city outcomes. This included the ‘smarter’ UK cities of Birmingham, Bristol, Manchester, Milton Keynes and Peterborough. City reports and interviews with representative local government authorities informed the case study analysis. The report provides a series of smart city case studies that exemplify contemporary city practices, offering a timely, insightful contribution to city discourse about best practice approaches to evaluation and reporting of complex smart city projects and programmes

Towards Sustainable and Smart Cities: Replicable and KPI-Driven Evaluation Framework

Sustainability is pivotal in the urban transformation strategy in order to reach more resource-efficient, resilient and smarter cities. The goal of being a sustainable city should drive the decisions for city interventions, and measuring city progress is a key step for this process. There are many initiatives aiming at defining indicators and assessment procedures, but there is no convergence in the definition of terms and application methodologies, making their real implementation complex. Within mySMARTLife project (GA#731297), a KPI-driven evaluation framework has been defined with the aim of covering the multiple pillars of a smart and sustainable city (i.e., environment, energy, mobility, ICT, citizens, economy, governance) in a holistic way. This methodology also defines the concepts and terms to guide urban planners and/or experts at the time of implementing the framework for any specific city. The evaluation framework has been deployed in the cities of Nantes, Hamburg and Helsinki, and some lessons have been learned, such as the necessity of providing a definition of measurement boundary to avoid biased interpretations. Due to a co-creation strategy, the main issues from the cities have been taken into consideration in order to increase the replicability of the results.The authors would like to thank, first, the EC for funding and supporting mySMARTLife project under GA#731297. Second, the authors would like to thank the rest of consortium of mySMARTLife for the contributions in the definition of the framework.Peer ReviewedObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraObjectius de Desenvolupament Sostenible::11 - Ciutats i Comunitats SosteniblesPostprint (published version

City approaches to smart city evaluation and reporting: case studies in the United Kingdom

Smart technologies create opportunities for urban development and regeneration, leading to a proliferation of projects/programmes designed to address city strategies around environmental, economic and social challenges. Whilst there is considerable critical debate on the merits of smart city developments, there has been surprisingly little research on the evaluation of smart interventions, and the outcomes of embedded smart technologies for cities and citizens. This examines case-study research undertaken in Birmingham, Bristol, Manchester, Milton Keynes and Peterborough, on city approaches to smart city evaluation and reporting. Findings exemplify contemporary city evaluation and reporting practices, challenges, and recommendations to support smart urban development

Towards Sustainable and Smart Cities: Replicable and KPI-Driven Evaluation Framework

Sustainability is pivotal in the urban transformation strategy in order to reach more resource-efficient, resilient and smarter cities. The goal of being a sustainable city should drive the decisions for city interventions, and measuring city progress is a key step for this process. There are many initiatives aiming at defining indicators and assessment procedures, but there is no convergence in the definition of terms and application methodologies, making their real implementation complex. Within mySMARTLife project (GA#731297), a KPI-driven evaluation framework has been defined with the aim of covering the multiple pillars of a smart and sustainable city (i.e., environment, energy, mobility, ICT, citizens, economy, governance) in a holistic way. This methodology also defines the concepts and terms to guide urban planners and/or experts at the time of implementing the framework for any specific city. The evaluation framework has been deployed in the cities of Nantes, Hamburg and Helsinki, and some lessons have been learned, such as the necessity of providing a definition of measurement boundary to avoid biased interpretations. Due to a co-creation strategy, the main issues from the cities have been taken into consideration in order to increase the replicability of the results.The work presented in this paper is the result of the EU-funded project mySMARTLife, under the H2020 programme with grant agreement no. 731297

MethOds and tools for comprehensive impact Assessment of the CCAM solutions for passengers and goods. D1.1: CCAM solutions review and gaps

Review of the state-of-the-art on Cooperative, Connected and Automated mobility use cases, scenarios, business models, Key Performance Indicators, impact evaluation methods, technologies, and user needs (for organisations & citizens)

Designing Guidelines for Smart City Collaboration Tools

Cities around the world have started pilots to experiment with Information and Communication Technologies (ICTs) to tackle urban problems, optimize city services and enhance the quality of life for citizens. At the moment, many smart city pilots have difficulty scaling up beyond the pilot stage. Effective collaboration between quadruple-helix partners in the smart city is both crucial and challenging for promoting the development, implementation, and scaling-up of smart city pilots. However, professionals in the smart city field lack easy-to-use tools to resolve smart collaborative governance challenges. To bridge this gap, this paper will use a Design Science Research (DSR) methodology to develop generic high-level guidelines for smart collaborative governance tools in the smart city context. These generic high-level guidelines also include guidelines that help to resolve dilemmas in the design of collaboration tools regarding their desired outcomes, complexity, and scope

The Smart City level of the City of Tshwane compared to the European city standard, and its contribution towards the city’s environmental sustainability.

The overall objective of the study is to plan and recommend the most appropriate city environment that can foster the dynamic interactions necessary to implement sustainable and adaptable smart city projects for the purpose of enhancing the quality of the natural environment. Specific research approaches have been applied to answer the separate research questions, which is a performance indicator approach combined with a literature review. The Smart City level of Tshwane is measured, and it is further analysed how this contributes towards environmental sustainability on a city level. Even though environmental issues persist in the City of Tshwane, it was observed that there exists a direct correlation between smart city implementations and the improvement of environmental sustainability, from international examples. It is thus evident from the study that smart city initiatives applied in all city activities facilitate the enhancement of resource efficiency within a city. This ultimately contributes to improving the environmental performance, quality, liveability and sustainability within the cityscape. In order to achieve this, the Smart City level of a city needs to be measured and evaluated to establish a baseline supported by existing data to best inform an integrated approach in planning and implementation procedures (Bosch, et al., 2017). Smart city technologies and implementations create the setting for possible significant changes towards environmental sustainability. Key Terms: City of Tshwane, Smart City, ICT, environmental sustainability, environmental performance, evaluation, EUROCITIES CITYkeys’ Key Performance Indicator Framework, Key Performance Indicators, city-level, and literature review.Mini Dissertation (MA (Environment and Society))--University of Pretoria, 2020.Geography, Geoinformatics and MeteorologyMA (Environment and Society)Unrestricte

Benchmarking Nature-Based Solution and Smart City Assessment Schemes Against the Sustainable Development Goal Indicator Framework

Increasing global urbanization yields substantial potential for enhanced sustainability through careful management of urban development and optimized resource use efficiency. Nature-based solutions (NBS) can provide a means for cities to successfully navigate the water-energy-climate relationship, thus enhancing urban resilience. Implementation of NBS can improve local or regional economic resilience underpinned by the sustainable use of natural resources. The innovative governance, institutional, business, and finance models and frameworks inherent to NBS implementation also provide a wealth of opportunity for social transformation and increased social inclusiveness in cities. The ultimate benefit of NBS implementation in cities is increased livability, which is typically measured as a function of multiple social, economic and environmental variables. Given the range of different interventions classified as NBS and the cross-sectoral character of their co-benefits, different assessment schemes can be used to evaluate NBS performance and impact. Herein, performance and impact indicators within three robust NBS- and Smart City-related assessment schemes—Mapping and Assessment of Ecosystems and their Services (MAES), Knowledge and Learning Mechanism on Biodiversity and Ecosystem Services (EKLIPSE), and Smart City Performance Measurement Framework (CITYkeys)—were critically analyzed with respect to Sustainable Development Goal (SDG) 11, “Make cities and human settlements inclusive, safe, resilient and sustainable.” Each selected assessment scheme was benchmarked with respect to the Inter-Agency Expert Group on SDG Indicators' global indicator framework for the sub-objectives of SDG 11. The alignment between each of the selected NBS assessment schemes and the SDG indicator framework was mapped with particular emphasis on consistency with city-level framework indicators for each SDG 11 sub-objective. The results were illustrated as composite scores describing the alignment of the analyzed NBS and Smart city assessment schemes with the SDG 11 sub-objectives. These results facilitate NBS assessment scheme selection based on alignment between each analyzed assessment scheme and specific SDG 11 sub-objectives. Cities face multiple challenges amidst a complex hierarchy of legislative, regulatory and other stakeholder obligations. The present study showed that strategic selection of an NBS assessment scheme which closely aligns with one or more sub-objectives within SDG 11 can maximize operational efficiency by exploiting synergies between evaluation schemes