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This paper investigates the potential contribution of smart city approaches and tools to sustainable urban development in the environment domain. Recent research has highlighted the need to explore the relation of smart and sustainable cities more systematically, focusing on practical applications that could enable a deeper understanding of the included domains, typologies and design concepts, and this paper aims to address this research gap. At the same time, it tries to identify whether these applications could contribute to the “zero vision” strategy, an extremely ambitious challenge within the field of smart cities.

This objective is pursued through an in-depth investigation of available open source and proprietary smart city applications related to environmental sustainability in urban environments. A total of 32 applications were detected through the Intelligent/Smart Cities Open Source (ICOS) community, a meta-repository for smart cities solutions. The applications are analyzed comparatively regarding (i) the environmental issue addressed, (ii) the associated mitigation strategies, (iii) the included innovation mechanism, (iv) the role of information and communication technologies and (v) the overall outcome.

The findings suggest that the smart and sustainable city landscape is extremely fragmented both on the policy and the technical levels. There is a host of unexplored opportunities toward smart sustainable development, many of which are still unknown. Similar findings are reached for all categories of environmental challenges in cities. Research limitations pertain to the analysis of a relatively small number of applications. The results can be used to inform policy making toward becoming more proactive and impactful both locally and globally. Given that smart city application market niches are also identified, they are also of special interest to developers, user communities and digital entrepreneurs.

The value added by this paper is two-fold. At the theoretical level, it offers a neat conceptual bridge between smart and sustainable cities debate. At the practical level, it identifies under-researched and under-exploited fields of smart city applications that could be opportunities to attain the “zero vision” objective.

Against the background of the I50 paradigm, this paper queries in what ways blockchain and blockchain-based applications deployed in the smart city context facilitate the integration of the I50 paradigm in smart urban contexts.

A mixed methods approach is applied. First, by means of desk research and thematic literature review, a conceptual model integrating the I50 paradigm, smart city and blockchain-based solutions is built. Second, science mapping bibliometric analysis (SciMat) based on keywords’ co-occurrence is applied to a sample of 491 research articles to identify key domains of blockchain-based applications’ use in smart city. Third, a semi-systematic literature review complements insights gained through SciMat. Fourth, the findings are interpreted through the precepts of the conceptual model devised earlier.

The key blockchain-based applications in smart cities pertain to two domains, i.e. the foundational, service facilitation-oriented domain, including security (and safety), networks, computing, resource management and the service delivery-oriented domain, including mobility, energy and healthcare. Blockchain serves as the key building block for applications developed to deliver functions specific to each of the thus identified domains. A substantial layering of blockchain-based tools and applications is necessary to advance from the less to the more complex functional domains of the smart city.

At the conceptual level, the intricacies of the (making of the) I50 paradigm are discussed and a case for I50 – smart city – blockchain nexus is made. Easton’s input–output model as well as constructivism is referenced. At the empirical level, the key major domains of blockchain-based applications are discussed; those that bear the prospect of integrating the I50 paradigm in the smart city are highlighted. At the methodological level, a strategic move is made aimed at restoring the literature review’s role as subservient to the key line of exploration, to justify and ultimately support it, rather than to showcase the literature review as the ultimate purpose for itself.

The purpose of this paper is to describe a smart city initiative presenting a mobile tourist guide developed for Natal, Brazil.

This study has employed an exploratory case study approach to gain more knowledge about a smart city initiative and a mobile tourist guide in Brazil. The city of Natal was selected for this case study since it was one of the host cities during the FIFA World Cup 2014. The collected data for this research came from government (e.g. Natal Smart City plan), academic sources (e.g. Metropole Digital Institute (IMD)), and tourists’ information from the mobile tourist guide application.

The smart city initiative of Natal, and the mobile tourist guide (named Find Natal) responsible for collecting, processing, sharing, storing and analysing the tourist behaviour were detailed in the paper. The Smart City Consortium in Natal is developing an interoperable and distributed infrastructure that is advancing the state-of-the-art in information and communication technologies (ICT) for planning and managing smart cities. The IMD implemented an application, which aims to enhance the traveller’s experience through software programs designed to leverage the infrastructure mechanisms behind the city. The data gathered by the application was analysed to show how it was used during the 2014 FIFA World Cup.

The results show a developed ICT initiative in a Latin American country. This study offers a starting point for destinations willing to implement and deploy a smart city initiative.

Smart cities are concepts much loved by politicians and technologists but are very difficult to bring about in practice. There are many isolated applications in cities such as operating streetlamps, but very few, if any, examples of integrated applications sharing data and managing the city as a holistic entity rather than a set of disparate and unconnected applications. This is despite hundreds of trials and indicates how difficult bringing about a smart city will be. The key challenge is the wide range of interested parties in a city including the elected city authority, subcontractors and suppliers to the authority, emergency services, transport providers, businesses, residents, workers, tourists, and other visitors. Some of these entities will be primarily driven by finance, such as businesses and transport providers. Some will be driven by political considerations. Some will be concerned with the quality of life as well as financial costs. In some cases, there will be conflicting interests – the city may want as much information as possible on people in the city, whereas individuals may want privacy and the minimum data stored concerning their movements and attributes. COVID-19 does not change any of these issues, but it does increase the importance of some applications such as smart health, logistics, people surveillance, data security, and crisis management, while reducing the importance of others such as traffic management. It may result in more willingness for monitoring and data sharing if this can be shown to result in better control of the virus.

Understanding policy consequences for cities is very important in an urban setting, especially in this era of developing solutions for grand challenges. Climate change adaptation and smart cities are emerging topics in the climate change and sustainability domain. Therefore, this paper aims to achieve a better understanding of policy consequences and exploring synergies of climate change adaptation and smart cities are valuable for both research and practice.

This paper systematically reviews synergies of smart city applications in urban climate change adaptation literature. A systematic literature review and content analysis are carried out to answer the research questions and a theoretically based smart cities concept matrix with synergetic coproduction theory is used to assess the empirical studies.

Key findings are that the model of synergetic coproduction could identify the benefits co-existing in smart city and climate change adaptation. While smart people and smart government play the fundamental roles, synergies could co-occur in other smart city dimensions. Smart city applications in climate change adaptation could increase competitiveness in cities by exploiting the opportunities as well as reducing the harmful risks.

The outcomes of the smart city applications in climate change adaptation aim to contribute to the exploration of developing indicators for smart city studies in climate change.

The findings provide successful examples for city governments and stakeholders to identify the low-hanging fruits as well as win-win adaptations. The results could also serve as the exploration of indicators in the field of smart city in climate change. The smart cities concept with the synergetic coproduction theoretical model could be further developed into a sustainability accounting and reporting methodology for cities to improve their sustainability information management.

The successful cases showing benefits could serve as examples for public-private partnerships to develop strategies to exploit opportunities in smart city applications and climate change adaptation. The review results also show that the integrated approach of smart city and climate change adaptation is possible and beneficial – hopefully the city managers and policymakers will continue to apply the integrated approach with smart city and further climate action agenda.

This study combines two emerging topics in the assessment, climate change adaptation and smart cities, and represents a new way of assessing literature and possibly policy outcomes for the cities. By using the theoretical framework from smart cities and theory of coproduction, a theory-based framework is developed for assessing the empirical studies of climate adaptation in cities. The findings from the systematic literature review indicate relations among smart city dimensions in a clear manner and also identify the synergies of smart cities and climate adaptation.

As the size of the population is growing and the capacity of the planet Earth is limited, human beings are searching for sustainable and technology-enabled solutions to support society, ecology and economy. One of the solutions has been developing smart sustainable cities. Smart sustainable cities are cities as systems, where their infrastructure, different subsystems and different functional domains are virtually connected to the information and communication technologies (ICT) and internet via sensors and devices and the Internet of Things (IoT), to collect and process real-time Big Data and make efficient, effective and sustainable solutions for a democratic and liveable city for its various stakeholders. This chapter explores the concepts and practices of sustainable smart cities across the globe and explores the use of technologies such as IoT, Blockchain technology and Cloud computing, etc. their challenges and then presents a view on business models for sustainable smart cities.

This paper describes the process of creating a retail ordering application and aims to see how to achieve this through an IDE (integrated development environment) and back-end services for smart cities. The main goals are: allow a user to create an account, allow an admin user to edit or delete an order, create a database of products, test the application and replace the current ordering system, such as a desktop-based application, with a mobile-first approach.

Based on the Scrum method, this paper tries to develop the retail ordering application that can be used on an iOS device, such as an iPhone. Before the application design, the issues related to the software design will be researched and justified.

The proposed application has been created, and the objectives which were proposed have been met in terms of creating a user account and registering it with the database, using this to log in to the application, creating orders by taking the customer and product details and been able to view and edit these through another admin account for smart cities.

For customers, the mobile-based ordering system makes their shopping experience more convenient and easier. For the business, the staff's work can be more efficient, and companies are able to reduce their expenses. For the new software developers, this work demonstrated the process of creating a retail ordering application from scratch.

This work will be of great value to the customers, retail business as well as the new software developers. In order to establish sustainable cities and provide high-quality life to the citizens, the concept of “smart” has been widely used in urban construction. This paper contributes to the smart city area by creating a retail ordering application based on the iOS system.

Security is the most important issue in Internet of Things (IoT)-based smart cities and blockchain (BC). So, the present paper aims to detect and organize the literature regarding security in the IoT-based smart cities and BC context. It also proposes an agenda for future research. Therefore, the authors did a statistical review of security in IoT and BC in smart cities. The present investigation aims to determine the principal challenges and disturbances in IoT because of the BC adoption, the central BC applications in IoT-based smart cities and the BC future in IoT-based smart cities.

IoT) has a notable influence on modernizing and transforming the society and industry for knowledge digitizing. Therefore, it may be perceived and operated in real time. The IoT is undergoing exponential development in industry and investigation. Still, it contains some security and privacy susceptibilities. Naturally, the research community pays attention to the security and privacy of the IoT. Also, the academic community has put a significant focus on BC as a new security project. In the present paper, the significant mechanisms and investigations in BC ground have been checked out systematically because of the significance of security in the IoT and BC in smart cities. Electronic databases were used to search for keywords. Totally, based on different filters, 131 papers have been gained, and 17 related articles have been obtained and analyzed. The security mechanisms of BC in IoT-based smart cities have been ranked into three main categories as follows, smart health care, smart home and smart agriculture.

The findings showed that BC’s distinctive technical aspects might impressively find a solution for privacy and security problems encountering the IoT-based smart cities development. They also supply distributed storage, transparency, trust and other IoT support to form a valid, impressive and secure distributed IoT network and provide a beneficial guarantee for IoT-based smart city users’ security and privacy.

The present investigation aims to be comprehensive, but some restrictions were also observed. Owing to the use of some filters for selecting the original papers, some complete works may be excluded. Besides, inspecting the total investigations on the security topic in BC and the IoT-based smart cities is infeasible. Albeit, the authors attempt to introduce a complete inspection of the security challenges in BC and the IoT-based smart cities. BC includes significant progress and innovation in the IoT-based smart cities’ security domain as new technology. Still, it contains some deficiencies as well. Investigators actively encounter the challenges and bring up persistent innovation and inspection of related technologies in the vision of the issues available in diverse application scenarios.

The use of BC technology in finding a solution for the security issues of the IoT-based smart cities is a research hotspot. There is numerable literature with data and theoretical support despite the suggestion of numerous relevant opinions. Therefore, this paper offers insights into how findings may guide practitioners and researchers in developing appropriate security systems dependent upon the features of IoT-based smart city systems and BC. This paper may also stimulate further investigation on the challenge of security in BC and IoT-based smart cities. The outcomes will be of great value for scholars and may supply sights into future investigation grounds in the present field.

As the authors state according to their knowledge, it is the first work using security challenges on BC and IoT-based smart cities. The literature review shows that few papers discuss how solving security issues in the IoT-based smart cities can benefit from the BC. The investigation suggests a literature review on the topic, recommending some thoughts on using security tools in the IoT-based smart cities. The present investigation helps organizations plan to integrate IoT and BC to detect the areas to focus. It also assists in better resource planning for the successful execution of smart technologies in their supply chains.

Cities are facing challenges with their smart city agenda due to tighter budget constraints, varied interests of different stakeholders and increasing needs of technological innovation. Therefore, cities are partnering with private organisations to advance smart city projects. This research critically analyses the existing research published on public-private partnerships (PPPs) for the development of smart city projects and aims to identify the emerging themes and recommend mechanisms and strategies for improved use of smart city PPPs.

The content/textual analysis was conducted on 52 research publications relating to PPP and smart city from 2001 to 2020. With the assistance of the Leximancer software, the related literature was systematically analysed and synthesised to present the emerging themes of PPP application within the smart city context.

The analyses reveal that smart city PPPs mainly concentrated on building new or improving existing infrastructure. The research identifies five themes on PPP application for smart city development: (1) Technological innovation integration and increased risk profile, (2) Smart citizen engagement and participatory governance, (3) Data sharing and information security, (4) Transformation of PPP process and approach and (5) PPPs for urban sustainability. This research consolidates these five themes in a proposed sustainable public-private-people partnership (PPPP) framework.

This research provides a new perspective on rethinking the extant PPP models by highlighting the emerging themes in the PPP application for smart city development. This study provides useful recommendations for smart city infrastructure project partnership and engagement among the public and private sectors, and the city residents.

Big Data can be utilised for efficient use of resources and to provide better services to the resident in order to enhance the delivery of urban services and create sustainable build environment. However, the adoption of Big Data faces many challenges at the implementation level. Therefore, the purpose of this paper is to identify the challenges towards the efficient application of Big Data in smart cities development and analyse the inter-relationships.

The 14 Big Data challenges are identified through the literature review and validated with the expert’s feedback. After that the inter-relationships among the identified challenges are developed using an integrated approach of fuzzy Interpretive Structural Modelling (fuzzy-ISM) and fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL).

Evaluation of interrelationships among the challenges suggests that diverse population in smart cities and lack of infrastructure are the significant challenges that impede the integration of Big Data in the development of smart cities.

This study will enable practitioners, policy planners involved in smart city projects in tackling the challenges in an optimised manner for the hindrance free and accelerated development of smart cities.

This research is an initial effort to develop an interpretive structural model of Big Data challenges for smart cities development which gives a clearer picture of how the identified challenges interact with each other.