Yes / Smart city development is gaining considerable recognition in the systematic literature and international policies throughout the world. The study aims to identify the key barriers of smart cities from a review of existing literature and views of experts in this area. This work further makes an attempt on the prioritisation of barriers to recognise the most important barrier category and ranking of specific barriers within the categories to the development of smart cities in India. Through the existing literature, this work explored 31 barriers of smart cities development and divided them into six categories. This research work employed fuzzy Analytic Hierarchy Process (AHP) technique to prioritise the selected barriers. Findings reveal that ‘Governance’ is documented as the most significant category of barriers for smart city development followed by ‘Economic; ‘Technology’; ‘Social’; ‘Environmental’ and ‘Legal and Ethical’. In this work, authors also performed sensitivity analysis to validate the findings of study. This research is useful to the government and policymakers for eradicating the potential interferences in smart city development initiatives in developing countries like India.

The diploma thesis is focused on the Smart Cities concept in the Czech Republic. The aim of the thesis is to get an overview of foreigner and Czech cities that are successful in implementing the Smart Cities concept. The main aim of the thesis is to evaluate the possibility of applying Smart Cities principles in a city České Budějovice. The thesis is based on a study of scientific literature, strategic or conceptual documents and the examples of "best practice". The draft of Smart City concept České Budějovice results from the questionnaire survey and the conducted interviews.

Exploring upon the phenomena of smart cities, this paper elaborates the potential of crowdsourced data collection in small scale urban quarters. The development of the Data4City (D4C) hyperlocal app – PinCity – is based on the idea of increasing the density of real-time information in urban areas (urban neighborhoods) in order to optimize or create innovative urban services (such as public transportation, garbage collection) or urban planning, thus improving the quality of life of quarter inhabitants as a long-term goal. The main principle of the app is the small-scale implementation, as opposed to top-down smart city approaches worldwide, preferably in a city quarter, or a community, which can be subsequently scaled and interlaced to other parts of the city.

The concept of smart cities points out the future cities, which will incorporate IoT and digitalization for facilitating the communication among people, their devices, government services, and various facilities that can provide enough services for the enormous population in the future cities. To achieve the goal of having the ideal smart cities, it is necessary to go digital and plan for having virtual imagination for every component in the cities, including the construction facilities. BIM method as a means of having a virtual vision of each element of the construction project glows in mind as one sort of assistance to reach this target. This thesis investigates the impact of BIM on the quality of communication in the future smart cities based on the literature review of the three smartest cities including Singapore, London, and Manchester.:Table of Contents List of Figures IV List of Tables V List of Abbreviations VI 1 Introduction 1 1.1 Problem Statement 1 1.2 Aim of the Study 3 1.3 Research Question 4 1.4 Methodology 4 1.5 Structure of Work 5 2 Research Methodology 6 2.1 Introduction 6 2.2 Overview of Common Research Methods 6 2.2.1 Inductive Method 6 2.2.2 Deductive Method 7 2.2.3 Inductive vs. Deductive Method 8 2.2.4 Quantitative Research 8 2.2.5 Qualitative Research 9 2.2.6 Tools for Data Collection 10 2.3 Research Scheme of This Thesis 16 3 Literature Review and Historical Background 19 3.1 Introduction to BIM 19 3.2 BIM Definition 20 3.2.1 National Institute of Building Sciences (NIBS) 20 3.2.2 Autodesk 22 3.2.3 Associated General Contractors of America (AGC) 22 3.3 BIM Levels 24 3.4 Application of BIM 25 3.4.1 Advantages of BIM 27 3.4.2 Disadvantages of BIM 29 3.5 History of employing BIM in construction projects 30 3.5.1 Before the year 2000 30 3.5.2 After the year 2000 31 3.6 Communication in construction projects 32 3.6.1 Communication, Combination of Factors 32 3.6.2 Communication Disorders in Construction Projects 33 3.7 BIM and Project Management 35 3.7.1 BIM vs. PMBOK 36 3.8 Smart Cities 36 3.8.1 Communication in smart city projects 37 3.8.2 Project Management in Smart Cities 39 3.9 Literature Review or Relevant previous studies 40 4 Case- Study 44 4.1 Singapore 44 4.1.1 BIM Use in Singapore 45 4.1.2 ITS Projects in Singapore 49 4.1.3 Intelligent Productivity and Safety System (IPASS) 50 4.1.4 Addressing Communication Challenges by BIM in the projects in Singapore 50 4.2 London, United Kingdom (UK) 52 4.2.1 Smart Projects in London (UK) 53 4.2.2 BIM Use in UK 55 4.2.3 Addressing Communication Challenges by BIM in the projects in UK 56 5 Conclusion 61 5.1 Summary of results 61 5.1.1 Findings of the Questions 62 5.2 Further Research Recommendation 63 Bibliography VIII

[pt] Os principais problemas enfrentados hoje pelas cidades estão relacionados ao crescimento da população urbana e ao desenvolvimento sustentável. Deste contexto emerge o importante debate mundial sobre as formas de planejamento mais adequadas ao atual momento. Ao mesmo tempo em que estamos diante dos maiores desafios da história das cidades, o avanço tecnológico se mostra exponencial, direcionando não só a solução para os problemas, mas promovendo também uma série de mudanças de paradigmas em relação à forma como vivemos, nos relacionamos e trabalhamos. A Cidade Inteligente – termo conhecido mundialmente, mas com significado ainda pouco preciso – surge nesse contexto, em que a tecnologia é usada para resolver problemas urbanos, garantir o desenvolvimento sustentável e a qualidade de vida das pessoas. Esse trabalho tem como objetivo definir, a partir da revisão da literatura, o conceito de Smart City e relatar o movimento das Human Smart Cities, contextualizando o cenário brasileiro e as diferentes abordagens existentes. A partir da análise das iniciativas voltadas para o mercado de Smart Cities no Brasil, foi possível perceber a necessidade de um equilíbrio entre as abordagens top-down e bottom-up nos projetos existentes e futuros. É relevante sublinhar a importância do aspecto humano na definição de Smart City, valorizando a participação da sociedade através de ecossistemas de inovação que incentivem a co-criação das soluções, em conjunto com a esfera pública, empresarial e acadêmica. A descentralização das tomadas de decisão, juntamente com a integração dos sistemas inteligentes da cidade que definem a verdadeira Smart City. / [en] The majority of modern cities reflect old urban models and specific historical contexts and need to deal with global and local issues never dealt with before. One example is the significant increase of urban population and objectives to reach sustainable development. There are many challenges to be faced: demographical, environmental, economic and institutional. At the same time we are facing one of the biggest challenges in the history of urban life, technological development grows at an exponential rate, providing not only solutions, but also promoting a series of shifts in paradigms in relation to our way of life, in how we relate and work. Due to technology – especially Information and Communications Technology (ICT) –, today society can communicate more easily, which allows them to consolidate and grow in networks, collaborate among themselves and obtain knowledge – an abundant and intangible resource that can change the current economic logic. Economy based of mass production of homogeneous products – one that exploits the environment without considering its consequences – is increasingly losing ground to new economies such as creative, collaborative, and knowledge-based economies where product and service productions are decentralized and diversified. The concept of Smart City arises from that context of technological evolution, increase in data generation, knowledge and consequently, of innovation. It is a challenging historical moment, but it also offers a variety of technological opportunities.

With advancement in information and communication technologies (ICT), Smart Cities are becoming a popular urban development strategy amongst policymakers and city managers to respond to various threats posed by rapid urbanization such as environmental degradation and increasing inequality (Hartemink, 2016). Therefore, globally, regions ranging from small towns to megacities are proposing and investing in smart city (SC) initiatives. Unfortunately, the prolific use of this term by city managers and technology vendors is clouding the view on what it really takes to become a SC (Van den Bergh and Viaene, 2015). Consequently, cities are experiencing multiple implementation risks when trying to turn a smart city ambition into reality. These implementation risks reflect the gaps or missing pieces in the current organizational structure and policies designed for implementing SC projects at the city level. They can be understood better if the process of SC transformation is explored using diverse cases of cities undergoing such a transformation. However, the current studies on SC initiatives at the local, regional, national, and international level have focused on: 1) strengthening the SC concept rather than understanding the practical implementation of the concept – i.e., discussing SC characteristics and outcomes rather than focusing on the challenges faced in implementing SC projects; 2) cases that have already been developed as a SC or are soon to become a SC, leaving out the opportunity to study cities undergoing SC transformation and the identification of implementation risks; and 3) cases from more advanced economies. Taken together, these observations reveal the need for research that focuses on SC initiatives in a developing nation context. More specifically, there is a need for researchers, city managers, and policymakers in these regions to focus on the process of SC transformation to identify implementation risks early on in the process. Understanding these risks may help the development of better risk mitigation strategies and result in more successful SC projects. This research explores SC implementation risks in two cities currently undergoing a SC transformation in India – Kakinada and Kanpur. While examining the risks landscape in these two cities, the research also explores what city officials are focused on when implementing SC projects. This research finds that: 1) implementation risks such as Institutional, Resource and Partnership, and Social are crucial for implementing SC projects; 2) in the cities of Kakinada and Kanpur, Institutional risks that relate to gaps and deficiencies in local urban governance such as overlapping functions of multiple local urban development agencies, have causal linkages with other risks such as Resource and Partnership risks and Financial risks, which further delay project implementation; and 3) city officials and industry professionals implementing SC projects in Kakinada and Kanpur have a slightly different perspective on smartness, however both the groups focus on External smartness of the city – i.e., projects related to physical infrastructure such as mobility and sanitation – rather than Internal smartness of the city – i.e., strengthening local urban governance, increasing citizen engagement, etc. Overall, this research proposes that there is a need to frame the concept of a SC around both Internal and External Smartness of the city. This research will be of special interest to: 1) cities (in both developed and developing nations) currently implementing SC projects by providing a framework to systematically examine the risk landscape for successful project implementation; and 2) communities/institutions (especially in developing nations) proposing SC initiatives by helping them focus on components, goals, and enablers of a SC. / Doctor of Philosophy / The concept of a Smart City (SC) revolves around "using Information and Communication Technologies (ICT) to increase workability, liveability, and sustainability" of a city (Smart Cities Council, 2014). SCs are becoming a popular urban development strategy amongst policymakers and city managers to respond to various threats posed by rapid urbanization such as environmental degradation and increasing inequality (Hartemink, 2016). Unfortunately, city managers see SCs as a readymade solution to urban challenges. As a consequence, cities are experiencing multiple implementation risks when trying to turn a smart city ambition into reality. These implementation risks reflect the gaps or missing pieces in the current organizational structure and policies designed for implementing SC projects at the city level. They can be understood better if the process of SC transformation is explored. However, the current studies on SC initiatives at the local, regional, national, and international level have focused on: 1) strengthening the SC concept rather than understanding the practical implementation of the concept; 2) cases that have already been developed as a SC or are soon to become a SC, leaving out the opportunity to study cities undergoing SC transformation and the identification of implementation risks; and 3) cases from more advanced economies. Taken together, these observations reveal the need for research that focuses on SC initiatives in a developing nation context. More specifically, there is a need for researchers, city managers, and policymakers in these regions to focus on the process of SC transformation to identify implementation risks early in the project development process. Understanding these risks may help the development of better risk mitigation strategies and result in more successful SC projects. This research explores SC implementation risks in two cities currently undergoing a SC transformation in India – Kakinada and Kanpur. This research finds that: 1) implementation risks such as Institutional, Resource and Partnership, and Social are crucial for implementing SC projects; 2) in the cities of Kakinada and Kanpur, Institutional risks that relate to gaps and deficiencies in local urban governance such as overlapping functions of multiple local urban development agencies, have causal linkages with other risks such as Resource and Partnership risks and Financial risks, which further delay project implementation; and 3) city officials and industry professionals implementing SC projects in Kakinada and Kanpur have a slightly different perspective on smartness, however both the groups focus on the External smartness of the city – i.e., projects related to physical infrastructure such as mobility and sanitation – rather than the Internal smartness of the city – i.e., strengthening local urban governance, increasing citizen engagement, etc.

Cities are facing many challenges; challenges linked to world-wide trends like urbanisation, climate changes and globalisation. In parallel to these trends, we have seen a rapid digitalisation in and of different parts of society. Cities and local governments have been appointed an important role in overcoming these world-wide challenges, and subsequently, in policy practices digitalisation is perceived as an important dimension in delivering better and sustainable services to its citizens. As a result, the smart city has emerged as a concept and approach to contemporary urban planning and development. There is still no common understanding of the concept and what components and dimensions it covers. However, in all definitions digitalisation constitutes one dimension, but the role and function of it is still not clear. In this study I have examined how different stakeholders talk about digitalisation in policy and planning practices of urban development. The aim has been to identify and analyse different repertoires of discourses on digitalisation to advance our knowledge on how goals related to the smart city and digitalisation are put into practice. The results are based on a qualitative and interpretative case study with a social constructionist approach. An analytical framework based on discourse analysis, stakeholder theory and (new) institutional theory has been constructed to analyse the case. Main results show that repertoires on digitalisation are limited in both policy and planning of urban development. In these practices, digitalisation is primarily seen as a means or as a communication infrastructure in relation to two city services/functions; i.e. services related to governance and to environment. Results also show that practices of urban planning and development are institutionalised, where different stakeholders’ salience and stakes in urban development and in digitalisation differ, but it is clear that digitalisation is a secondary issue. Implications of these results are that the taken-for-granted discourses in policy and planning practices of urban development limit both practice and research when developing a smart city. / Städer står inför många utmaningar kopplat till världsomspännande trender såsom urbanisering, klimatförändringar, och globalisering. Parallellt med dessa trender har vi sett en snabb digitalisering i och av olika delar av samhället. I detta sammanhang har städer och kommuner blivit tilldelade en viktig roll i hanteringen av dessa utmaningar. På policynivå ses digitalisering som en viktig dimension för att leverera hållbar och bättre service till medborgarna. Som ett led i detta har smarta städer vuxit fram som både begrepp och metod för stadsplanering och stadsutveckling. Det finns dock ingen gemensam tolkning av begreppet. Däremot finns digitalisering med som en dimension i definitionerna, men vilken roll och funktion den har är fortfarande oklart. I denna studie har jag undersökt hur olika intressenter talar om digitalisering i olika policy- och planeringspraktiker kopplat till stadsutveckling. Syftet har varit att identifiera och analysera repertoarer av digitaliseringsdiskurser för att bidra med kunskap om hur mål kopplade till smarta städer och digitalisering omsätts i praktiken. Resultaten är baserade på en kvalitativ och tolkande fallstudie med en socialkonstruktionistisk ansats. Ett analytiskt ramverk baserat på diskursanalys, intressentanalys, och nyinstitutionell teori har tagits fram för att analysera fallet. Resultaten visar att digitaliseringsrepertoarer är begränsade både i policy och i planering av stadsutveckling. I dessa praktiker ses digitalisering främst som ett verktyg eller en kommunikationsinfrastruktur i relation till två samhällsfunktioner, nämligen funktioner kopplade till styrning och administration, och funktioner kopplade till miljö. Resultaten visar också att praktiker kopplade till stadsplanering och stadsutveckling är institutionaliserade, praktiker där olika intressenter har olika makt, legitimitet och angelägenhet gällande stadsutveckling och digitalisering. Det är dock tydligt att digitalisering är en sekundär fråga. Implikationerna av dessa resultat är att de förgivettagna diskurserna begränsar både praktiken och forskningen i utvecklingen av smart städer.

A transformation of our current transport system and individual mobility behaviour is an essential pre-requisite for attaining a desirable future that enables a life within environmental boundaries ("safe operating space") and higher well-being at the same time. Accordingly, this paper focuses on the potentials of a resource-saving, sustainable transport system with reduced, but still satisfactory, mobility. To achieve the vision of resource-efficiency in Europe, a new understanding of mobility is needed: "the mode of travel is the reward of the journey", meaning that it is not about travelling fastest and frequently, but unhurried (easy-going), infrequently and sustainably. We describe a socially inclusive and innovative transport system that could achieve this vision and discuss the kinds of policy measures that would be required to implement it. Changes are required in many areas including values, preferences, infrastructure, technology, governance and the economy. (authors' abstract)

As cidades estão a seu tempo e a seu modo, modernizando os serviços prestados à população. Entre os diversos fatores que estão contribuindo para esta evolução estão a diversificação e proliferação de sensores, nos diversos domínios de serviços das cidades, e os novos canais de comunicação com os munícipes, entre eles, as redes sociais e mais recentemente os sistemas crowdsensing, motivados pelos anseios sociais, por melhores serviços públicos e pela popularização dos dispositivos móveis. Nesta direção, a eficiência administrativa é um fator essencial, uma vez que as cidades estão se mostrando mais complexas na medida em que cresce a população nas áreas urbanas. A utilização de técnicas de sistemas distribuídos para que múltiplos domínios de serviços usufruam da mesma infraestrutura computacional, pode auxiliar na eficiência das cidades, evitando gastos administrativos duplicados e até mesmo, possibilitando a correlação de eventos entre os serviços, favorecendo a identificação de fatores de causalidades e assim, a tomada de decisões administrativas mais objetivas e precisas. Neste contexto, este trabalho concentra-se na análise de um middleware direcionado à gestão de cidades para coleta, integração e interpretação dos dados de sensores, pertencentes aos serviços disponíveis da própria cidade, junto com os dados do sensoriamento colaborado pelos cidadãos. Para avaliação do conceito foi investigado o cenário de monitoração da conservação de vias públicas. Após 3 meses de coletas de dados por um sistema de sensoriamento automático, totalizando mais de 360 mil pontos e também mais de 90 relatórios pelo sensoriamento participativo, verificou-se que um sistema distribuído pode realizar a interpretação de séries históricas, engajar os munícipes apoiar a manutenção dos serviços da cidade e também indicar objetivamente aos gestores públicos os pontos que devem ser prioritariamente atendidos. Aliar ferramentas pelas quais o cidadão pode, de acordo com sua necessidade, convicção e altruísmo, exercer influência nos gestores públicos com o suporte de informação contínua e critérios objetivos das redes de sensores, pode estimular a continua excelência dos serviços públicos. / The cities in their own way and time are improving their services provided to the population. Among several factors that are contributing to this trend are the diversification and proliferation of sensors in various services domains of cities and new communication ways with citizens, for instance, social networks and more recently, crowdsensing systems, motivated by social expectations for better public services and the popularity of mobile devices. In this direction, administrative efficiency is a key factor, since the cities are proving more complex with increasing the population in urban areas. Techniques of distributed systems to share the same computing infrastructure to multiple service domains, can assist in the efficiency of cities, avoiding duplicate administrative costs and even allowing event correlation between services, providing the identification of causality factors, thus making management decisions more objective and accurate. In this context, this research focuses on analysis of a middleware directed to city management for collection, integration and interpretation of sensors data, present in city services, along with the sensing data contributed by citizens. For concept evaluation, was investigated the scenario of conservation of public streets. After 3 months of data collection by an automatic sensing system comprising more than 360 thousand points and also 94 reports of collaborative sensing, it was found that a distributed system can perform the interpretation of historical series; engage the citizens to support maintenance of city services and indicate objectively the points that should primarily be fix by public managers. Combining tools, which citizens can, according to their need, conviction, altruism, exert their own influence in public management and the continuous information support to objective criteria of sensor networks, can stimulate the continued excellence of public services.

Smart City technologies emerge as a potential solution to tackle common problems in large urban centers by using city resources efficiently and providing quality services for citizens. Despite the various advances in middleware technologies to support future smart cities, there are yet no widely accepted platforms. Most of the existing solutions do not provide the required flexibility to be shared across cities. Moreover, the extensive use and development of non-open-source software leads to interoperability issues and limits the collaboration among R&D groups. Our research explores the use of a microservices architecture to address key practical challenges in smart city platforms. More specifically, we are concerned with the impact of microservices on addressing the key non-functional requirements to enable the development of smart cities such as supporting different scalability demands and providing a flexible architecture which can easily evolve over time. To this end, we are developing InterSCity, a microservice-based open source smart city platform that aims at supporting the development of sophisticated, cross- domain applications and services. Our early experience shows that microservices can be properly used as building blocks to achieve a loosely coupled, flexible architecture. Experimental results point towards the applicability of our approach in the context of smart cities since the platform can support multiple scalability demands. We expect to enable collaborative, novel smart city research, development, and deployment initiatives through the InterSCity platform. The full validation of the platform will be conducted using different smart city scenarios and workloads. Future work comprises the ongoing design and development effort on data processing services as well as more comprehensive evaluation of the proposed platform through scalability experiments. / As tecnologias de Cidades Inteligentes surgem como uma potencial solução para lidar com problemas comuns em grandes centros urbanos, utilizando os recursos da cidade de maneira eficiente e fornecendo serviços de qualidade para os cidadãos. Apesar dos vários avanços nas tecnologias de middleware para suporte às cidades inteligentes do futuro, ainda não existem plataformas amplamente aceitas. A maioria das soluções existentes não oferece a flexibilidade necessária para ser compartilhada entre as cidades. Além disso, o vasto uso e desenvolvimento de software proprietário levam a problemas de interoperabilidade e limitam a colaboração entre grupos de P&D. Nesta dissertação, exploramos uso de uma arquitetura de microsserviços para abordar os principais desafios práticos em plataformas de cidades inteligentes. Mais especificamente, estamos preocupados com o impacto dos microsserviços sobre requisitos não-funcionais para permitir o desenvolvimento de cidades inteligentes, tais como o suporte a diferentes demandas de escalabilidade e o fornecimento de uma arquitetura flexível que pode evoluir facilmente. Para esse fim, criamos a InterSCity, uma plataforma para cidades inteligentes de código aberto baseada em microsserviços que visa apoiar o desenvolvimento de aplicativos e serviços sofisticados em múltiplos domínios. Nossa experiência inicial mostra que os microsserviços podem ser usados adequadamente como blocos de construção para obter uma arquitetura flexível e fracamente acoplada. Resultados experimentais apontam para a aplicabilidade de nossa abordagem no contexto de cidades inteligentes, já que a plataforma pode suportar diferentes demandas de escalabilidade. Esperamos permitir pesquisas colaborativas e inovadoras em cidades inteligentes, assim como o desenvolvimento e iniciativas de implantações reais através da plataforma InterSCity. A validação completa da plataforma será realizada usando diferentes cenários de cidades inteligentes e cargas de trabalho. Os trabalhos futuros compreendem o esforço contínuo de projetar e desenvolver novos serviços de processamento de dados, bem como a realização de avaliações mais abrangentes da plataforma proposta por meio de experimentos de escalabilidade.