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

Evaluating the transition of e-Government: A review of local authorities in England

The goal of e-Government is seen as a panacea for governmental authorities. The emerging needs of citizens, their inclusion and engagement in policy development, political and participatory processes have meant new perspectives on e-Government are required. This paper seeks to identify and evaluate the preparedness of 10 UK-based local authorities to transition from basic e-Government to a more sophisticated and integrated e-Government. A categorical assessment of e-Government characteristics is made and these authorities are ranked accordingly. Our findings reveal the majority of local authorities sampled had reached a high percentage of informational and transactional e-Government but few had reached the interactional level and none had achieved assimilation. This suggests that local authorities seem to have focused on basic e-Government services. There is a need now to forge ahead to integration and assimilation of e-Government in order to address the critical objectives of citizen inclusion and engagement, and alignment of institutional processes to provide an infrastructure for the transition to e-governance and e-knowledge

A Framework to Use Public-Private Partnership for Smart City Projects

The concept of Smart City has been emerging as a strategic set of integrated initiatives encompassing infrastructures, technology and digital services for the purpose of enhancing the quality of life of citizens. However, the development and implementation of Smart City projects require considerable investments that are difficult to fund with traditional public finance. In this context, Public-Private-Partnerships (PPP) appear to be suitable solutions to overcome the shortage of public finance and cuts on public spending. However, the adoption of PPP forms for Smart City projects has not been fully explored and only experimentally applied so far. In order to promote the usage of PPP to finance Smart City initiatives, this paper proposes some PPP financial instruments and discusses the associated strengths and weaknesses. In particular, the use of Project Finance, Revenue Sharing and Social Impact Bonds are suggested as sound alternatives and suitable sources of financing for Smart City project

Delivering sustainable, resilient and liveable cities via transformed governance

In the context of steadily declining Natural Capital and universal recognition of the imperative to reverse this trend before we get to the point that nature is not able to restore itself, cities have a crucial role to play. The UK Government commissioned a comprehensive study into the value of biodiversity, and by extension nature, reinforcing “why we should change our ways”—yet what is missing is the “how?”. This paper uniquely describes both the “how?” and a conclusive demonstration of the remarkable benefits of implementing it in a city. Critical to this process, it took a UK Parliamentary Inquiry to reveal that nature has become invisible within the economy, yet the ecological ecosystem services nature provides have enormous benefits to both people and the economy. Therefore integration—or seamless weaving—of urban greenspace and nature into people's lives and the places where they live, work, and spend their leisure time is vital. Moreover, what nature does not provide must be provided by engineered systems, and these have an economic cost; put another way, there are enormous cost savings to be made by taking advantage of what nature provides. In addressing these issues, this paper is the definitive paper from a 20-year portfolio of research on how to bring about transformative change in the complex system-of-systems that make up our cities, providing as it does the crucial in-depth research into the many diverse strands of governance—the last link in a chain of the creation, testing and proof of efficacy of methodologies underpinning a theory and practice of change for infrastructure and cities. The impact of this portfolio of research on Birmingham is two-fold: the Star Framework that placed natural environment considerations at the heart of all decision-making in the city, and the successful bid for the largest of the UK Future Parks Accelerator awards. While both are transformative in their different ways, yet mutually supportive, the latter enabled the design of a suite of system interventions from which the value of Birmingham's greenspaces is estimated to rise from £11.0 billion to £14.4 billion—a remarkable return on investment from the research's conceptualization of Birmingham's urban greenspace as a “business” (with its associated business models). In achieving this, the necessary enablers of thinking and practicing systemically, seamlessly working across disciplinary boundaries, an unusually strong focus on both the aspirations of all stakeholders and the context in question to define “the problem,” and the testing of proposed system intervention(s) both now and in the future have been iteratively combined. However, it is the critical enabling steps of identifying the complete range of value-generating opportunities that the interventions offer, formulating them into alternative business models to underpin the case for change and ensuring that they are synergistic with all the dimensions of governance that yielded the profound outcomes sought

The Birmingham Urban Climate Laboratory: an open meteorological test bed and challenges of the smart city

Existing urban meteorological networks have an important role to play as test beds for inexpensive and more sustainable measurement techniques that are now becoming possible in our increasingly smart cities. The Birmingham Urban Climate Laboratory (BUCL) is a near-real-time, high-resolution urban meteorological network (UMN) of automatic weather stations and inexpensive, nonstandard air temperature sensors. The network has recently been implemented with an initial focus on monitoring urban heat, infrastructure, and health applications. A number of UMNs exist worldwide; however, BUCL is novel in its density, the low-cost nature of the sensors, and the use of proprietary Wi-Fi networks. This paper provides an overview of the logistical aspects of implementing a UMN test bed at such a density, including selecting appropriate urban sites; testing and calibrating low-cost, nonstandard equipment; implementing strict quality-assurance/quality-control mechanisms (including metadata); and utilizing preexisting Wi-Fi networks to transmit data. Also included are visualizations of data collected by the network, including data from the July 2013 U.K. heatwave as well as highlighting potential applications. The paper is an open invitation to use the facility as a test bed for evaluating models and/or other nonstandard observation techniques such as those generated via crowdsourcing techniques

Learning from accidents : machine learning for safety at railway stations

In railway systems, station safety is a critical aspect of the overall structure, and yet, accidents at stations still occur. It is time to learn from these errors and improve conventional methods by utilizing the latest technology, such as machine learning (ML), to analyse accidents and enhance safety systems. ML has been employed in many fields, including engineering systems, and it interacts with us throughout our daily lives. Thus, we must consider the available technology in general and ML in particular in the context of safety in the railway industry. This paper explores the employment of the decision tree (DT) method in safety classification and the analysis of accidents at railway stations to predict the traits of passengers affected by accidents. The critical contribution of this study is the presentation of ML and an explanation of how this technique is applied for ensuring safety, utilizing automated processes, and gaining benefits from this powerful technology. To apply and explore this method, a case study has been selected that focuses on the fatalities caused by accidents at railway stations. An analysis of some of these fatal accidents as reported by the Rail Safety and Standards Board (RSSB) is performed and presented in this paper to provide a broader summary of the application of supervised ML for improving safety at railway stations. Finally, this research shows the vast potential of the innovative application of ML in safety analysis for the railway industry

Forecasting Parking Lots Availability: Analysis from a Real-World Deployment

Smart parking technologies are rapidly being deployed in cities and public/private places around the world for the sake of enabling users to know in real time the occupancy of parking lots and offer applications and services on top of that information. In this work, we detail a real-world deployment of a full-stack smart parking system based on industrial-grade components. We also propose innovative forecasting models (based on CNN-LSTM) to analyze and predict parking occupancy ahead of time. Experimental results show that our model can predict the number of available parking lots in a ±3% range with about 80% accuracy over the next 1-8 hours. Finally, we describe novel applications and services that can be developed given such forecasts and associated analysis

Smart Specialisation – Towards a New Generation of Regional Innovation Strategies

Inteligentna specjalizacja stała się jednym z zasadniczych wątków współczesnych koncepcji zarządzania rozwojem regionalnym. W oryginale oznacza sztywny podział ról między regiony–liderzy innowacji i pozostałe regiony. Te pierwsze specjalizują się w tzw. technologiach ogólnego zastosowania i/lub ich kombinacji (np. bioinformatyce), drugie zaś w tzw. „koinwencji zastosowań”, czyli w imporcie technologii ogólnego zastosowania i wdrażaniu ich w jednym lub kilku obszarach regionalnej gospodarki. Tego typu koncepcja niesie ze sobą pewne niebezpieczeństwo, bo – jak wynika z doświadczeń międzynarodowych: 1) wysoki poziom innowacyjności wymaga wyrównanego poziomu konkurencyjności kompetencyjnej i technologicznej; 2) szybkość konwergencji konkurencyjności kompetencyjnej jest wyższa niż szybkość konwergencji konkurencyjności technologicznej, czemu również sprzyja dotychczasowy charakter międzynarodowego transferu technologii między liderami innowacji i pozostałymi regionami, ograniczający się (najczęściej) do technologii mniej lub bardziej przestarzałych. Stąd adaptacja koncepcji inteligentnej specjalizacji wymaga od każdego z regionów podwójnego wysiłku: a) znalezienia takich nisz technologicznych, w których mogą osiągnąć rolę lidera innowacji, i tym samym specjalizować się w rozwijaniu technologii ogólnego zastosowania; b) znalezienia takich sektorów / grup pokrewnych sektorów, gdzie mogą się specjalizować we wdrażaniu technologii rozwijanych przez innych liderów innowacji. Procedura określania takich obszarów inteligentnej specjalizacji uwzględnia przewagi konkurencyjne województwa, jego podstawowe zasoby (konkurencyjność technologiczną i konkurencyjność kompetencyjną) i potrzeby modernizacyjne jego bazy społeczno-ekonomicznej oraz globalne uwarunkowania