Leveraging technology for value creation in the context of smart sustainable cities: five potential approaches | biophilic design

This master thesis report investigates the potential of five different innovations for value creation in the context of Smart Sustainable Cities by 2050,applyingthe research question “How to create value by entrepreneurially using innovations in Smart Sustainable Cities?”. Primary(interviews with experts)and secondary research was conducted. In-depth analyses and assessments of value creation and sustainability; critical examinations of the five innovations' challenges, interconnections, and potential are performed, concluding that by applying disruptive technology that surpass the requirements of the Smart City Canvas, leverage environmental sustainability without sacrificing price, quality or other advantages, value creation is ensured

Sustainable framework form smart transportation system: a case study of Karachi

In this talk, a framework of smart transportation system is proposed, aiming to address the transportation problem in Karachi city. In modern day world, the mega cities and urban areas are on the edge of transformation into smart cities. With the advancement of engineering and technology, smart cities are designed to integrate and utilize these scientific innovations to provide smart solutions and social innovations for sustainable infrastructure, thus they are able to provide its resident highest quality of life by utilizing its resources effectively. One of the major application of smart cities is the Smart Transportation System, which provides safer, quick, environment friendly service to the residents. Thus, this study highlights the current traffic situation of Karachi and propose a framework to transform it into a smart transportation system. In order to have a smart transportation system, it is necessary to have in-depth knowledge and information about the city dynamics and its traffic related issues. Therefore, this study also highlights current traffic situation of Karachi, its road conditions and capacity, vehicles condition, alternate mean of transport (other than road-based system) and its present condition, and finally proposes a framework to develop a smart transportation system while keeping in mind the aforesaid traffic problems.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

The Role of Libraries, Archives and Museums for Metaliteracy in Smart Cities: Implications, Challenges and Opportunities

The concept of smart cities is gradually gaining popularity within both academic and policy circles. Smart cities are intended to be self-sufficient via cutting-edge technologies, purposive innovations and inventions. However, while the technology is growing at an unexpectedly fast pace, one of the essential components of smart cities – humans –is lagging behind. The need for and scope of literacies to survive in smart cities pose challenges for their citizens. The evolution of human learning is not matching the pace of technology. There is a growing emphasis on developing learning capabilities through various ongoing literacies. This study aims to identify the range of literacies required in smart cities and the roles of libraries, archives and museums (LAM) in supporting citizen literacies for social and digital inclusion. The LAM sector is one of the major stakeholders in the digital transformation sphere and needs to work in collaboration with other stakeholders. Therefore, the LAM sector must identify the nature of required literacies, the roles and strengths of other stakeholders, and the opportunities to increase its presence in the process. This study systematically identifies and addresses these issues through a conceptual framework process and proposes future research directions for the LAM sector

The sustainable development of smart cities through digital innovation

The ‘smart city’ concept has been wrought from distinctive theoretical underpinnings. Initially, this term was used to describe those cities that utilized advanced computerized systems to provide a safe, secure, green, and efficient transportation services and utilities to meet the demands of their citizens (Caragliu, Del Bo & Nijkamp, 2011; Hall, Bowerman and Braverman, Taylor, Todosow and Von Wimmersperg, 2000). A thorough literature review suggests that several cities are already using disruptive technologies, including advanced, integrated materials, sensors, electronics, and networks, among others, which are interfaced with computerized systems to improve their economic, social and environmental sustainability (Camilleri, 2015, 2017; Deakin and Al Waer, 2011; Hall et al., 2000). These cities are increasingly relying on data-driven technologies, as they gather and analyze data from urban services including transportation and utilities (Ramaswami, Russell, Culligan, Sharma and Kumar, 2016; Gretzel, Sigala, Xiang and Koo, 2015). Their underlying objective is to improve the quality of life of their citizens (Ratten, 2017; Buhalis and Amaranggana, 2015). Hence, ‘smart cities’ have introduced technological innovations to address contingent issues like traffic congestion; air pollution; waste management; loss of biodiversity and natural habitat; energy generation, conservation and consumption; water leakages and security, among other matters (Camilleri, 2019; 2014; Ahvenniemi, Huovila, Pinto-Seppä and Airaksinen, 2017; Ratten and Dana, 2017; Ratten, 2017). Ecologically-advanced local governments and municipalities are formulating long-term sustainable policies and strategies. Some of them are already capturing data through multisensor technologies via wireless communication networks in real time (Bibri, 2018; Bibri and Krogstie, 2017). Very often, they use the Internet’s infrastructure and a wide range of smart data-sensing devices, including radio frquency identification (RFID), near-field communication (NFC), global positioning systems (GPS), infrared sensors, accelerometers, and laser scanners (Bibri, 2018). A few cities have already started to benefit from the Internet of Things (IoT) technology and its sophisticated network that consists of sensor devices and physical objects including infrastructure and natural resources (Zanella, Bui, Castellani, Vangelista and Zorzi, 2014). Several cities are crunching big data to better understand how to make their cities smarter, more efficient, and responsive to today’s realities (Mohanty, Choppali and Kougianos, 2016; Ramaswami et al., 2016). They gather and analyze a vast amount of data and intelligence on urban aspects, including transportation issues, citizen mobility, traffic management, accessibility and protection of cultural heritage and/or environmental domains, among other areas (Angelidou, Psaltoglou, Komninos, Kakderi, Tsarchopoulos and Panori, 2018; Ahvenniemi et al., 2017). The latest advances in technologies like big data analytics and decision-making algorithms can support local governments and muncipalities to implement the circular economy in smart cities (Camilleri, 2019). The data-driven technologies enable them them to reduce their externalities. They can monitor and control the negative emissions, waste, habitat destruction, extinction of wildlife, etc. Therefore, the digital innovations ought to be used to inform the relevant stakeholders in their strategic planning and development of urban environments (Camilleri, 2019; Allam & Newman, 2018; Yigitcanlar and Kamruzzaman, 2018; Angelidou et al. ,2018; Caragliu et al., 2011). In this light, we are calling for theoretical and empirical contributions that are focused on the creation, diffusion, as well as on the utilization of technological innovations and information within the context of smart, sustainable cities. This Special Issue will include but is not limited to the following topics: • Advancing the circular economy agenda in smart cities; • Artificial intelligence and machine learning in smart cities; • Blockchain technologies in smart cities; • Green economy of smart cities; • Green infrastructure in smart cities; • Green living environments in smart cities; • Smart cities and the sustainable environment; • Smart cities and the use of data-driven technologies; • Smart cities and the use of the Internet of Things (IoT); • Sustainable energy of smart cities; • Sustainable financing for infrastructural development in smart cities; • Sustainable housing in smart cities; • Sustainable transportation in smart cities; • Sustainable tourism in smart cities; • Technological innovation and climate change for smart cities; • Technological innovation and the green economy of smart cities; • Technological innovation and the renewable energy in smart cities; • Technological innovation and urban resilience of smart cities; • Technological innovation for the infrastructural development of smart cities; • The accessibility and protection of the cultural heritage in smart cities; • The planning and design of smart cities; • The quality of life of the citizens and communities living in smart cities; • Urban innovation in smart cities; • Urban planning that integrates the smart city development with the greening of the environment; • Urban planning and data driven technologies of smart cities.peer-reviewe

Intelligent Transportation System for Smart-Cities using Fuzzy Logic

According to United Nations population statistics 2017, the world population is 7.6 billion and is growing rapidily alomost 11 billion by end of 21 century with a 70% chance of continued growth, this rapid increasing population have created low standards of living in cities. Smart Cities are facing pressures associated with due innovations and globalization to improve their citizens life. Computational intelligence is the study of adaptive mechanism to facilitate intelligent behavior in changing and complex environments. Traffic congestion and monitoring has become one of the critical issues in big cities. The adaptive mechanism of computational intelligence in changing the behavior of complex environments of smart city is very effective. The developing framework and services for smart-city requires sound infrastructure, latest current technology adoption. A framework model with the integration of cloud-data, social network (SN) services that is collecting stream data with smart sensors in the context of smart cities is proposed. The adaptive mechanism of computational intelligence in changing thebehavior of complex environments of smart city is very effective. A radical framework that enables the analysis of big-data sets stemming from Social Networking (SN) sites. Smart cities understanding is a broad concept only city transportation sector is focused in this article. Fuzzy logic modeling techniques are used in many fields i.e. medical, engineering. business and computing related problems. To solve various traffic management issues in cities a detailed analysis of fuzzy logic system is proposed. This paper presents an analysis of the results achieved using Fuzzy Logic System (FLS) for smart cities. The results are verified using MATLAB Simulation

Universities multistakeholder contribution to smart city ecosystem development

Purpose: This paper investigates the mutually advantageous value-driven innovations brought by Universities as a key actor in the development of innovation exploiting Smart City opportunities. The final aim is to under-stand the role, tasks and contribution of Universities in Smart City pro-jects. Methodology: The study followed an exploratory and qualitative meth-odology and consisted of 44 in-depth semi-structured interviews with Smart City experts. The choice of the respondents was adjusted to approve the direct and indirect effect of developing the smart ecosystem in various organizational multistakeholder environments. Results: The study found three main areas in which Universities may con-tribute to Smart City projects: a) knowledge/technology creation and transfer; b) social/societal involvement; c) ecosystem facilita-tor/networking.Implications: This paper offers several implications for different stake-holders such as policy makers, Universities’ top managers and firms. Impli-cations for policy managers imply the change in the approach to consumers because most of them do not understand why they need smart solutions. Moreover, it highlights that bureaucracy and lack of an innovative mental-ity kill smart city projects, so the governmental structures should be wired first. Finally, it calls for a huge financial platform (incentives and new fi-nancial mechanisms) and legal changes (legal frameworks should be aligned with peculiarities of Smart Cities).Implications for top managers of Universities are related to the rethink of Universities in smart city innovation ecosystems with the possibility to play an active role. Implications for MNEs and SMEs include that Univer-sities may help in understanding the opportunities around Smart City initi-atives (there is often opacity on the return of investments). At the same time, Universities may help in dealing with public governments and local stakeholders (public and private)

An effective identification of crop diseases using faster region based convolutional neural network and expert systems

The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop

Smart Cities and FDI

Smart cities have emerged as a worldwide trend, progressing from the implementation of sensors and technologies to enhance infrastructures and service delivery to the development of city-wide policy through the utilization of big data analysis. The goal of a "Smart City" is to improve standard of life by acquiring knowledge from information gathered from people, technologies, and networked sensors. This research argues that smart cities may attract inflows Foreign Direct Investment FDI by influencing the investment choices of global corporate players in the new age by facilitating the flow of data, technology, innovations, and best practices while offering a livable and productive environment. When deciding where to invest, foreign investors will take new criteria into account. These factors include how sociable the environment is, how stable the economic condition is, and how digitally advanced the destination is. These variables will outweigh conventional investment considerations like inexpensive labor, abundant resources, and a large population. For developing nations and rising economies where businesses need capital and knowledge to increase their worldwide sales, foreign direct investment is crucial. To maintain high growth rates the countries should attract international investors, and, most importantly, provide its citizens with a good standard of living, and therefore, should speed up its investments in sustainable smart cities. &nbsp

Smart Cities: A Socio-Technical Perspective

This research paper elaborates upon the concept of Smart Cities and the evolution of the term itself throughout history in order to outline the emergence of two distinct schools of thought: technocentric and humancentric, which have shaped smart cities. The paper also categorizes smart cities based on these two perspectives and outlines the operational tactics associated with them. After discussing and summarizing the pros and cons of both perspectives, the viewpoint of a socio-technical system-based model for conceptualizing and re-thinking the smart city narrative is presented. This People, Activity, Context and Technology (PACT) based socio-technical ecosystem model and the manner in which it can overcome the shortcomings of the technocentric and the humancentric modes of thinking is thus presented as a way to understand the city and as a laboratory for initiating an ecology of informed smart innovations.</jats:p

Product Service System Innovation in the Smart City

Product service systems (PSS) may usefully form part of the mix of innovations necessary to move society toward more sustainable futures. However, despite such potential, PSS implementation is highly uneven and limited. Drawing on an alternate socio-technical perspective of innovation, this paper provides fresh insights, on among other things the role of context in PSS innovation, to address this issue. Case study research is presented focusing on a use orientated PSS in an urban environment: the Copenhagen city bike scheme. The paper shows that PSS innovation is a situated complex process, shaped by actors and knowledge from other locales. It argues that further research is needed to investigate how actors interests shape PSS innovation. It recommends that institutional spaces should be provided in governance landscapes associated with urban environments to enable legitimate PSS concepts to co-evolve in light of locally articulated sustainability principles and priorities