Abstract

Projects have become vital in initiating urban sustainability changes. In this study, we address the research gap regarding the dual role of a project in advancing change in public organizations and helping them to adopt roles in initiating and steering urban sustainability transitions. From a practice-theory perspective, we present longitudinal participatory action research on the activities of a project management team in a city organization. Our results show how praxes of a project team without hierarchical authoritative power to give orders or delegate change-related activities in the host organization create organization-level outcomes in the city’s organization and urban living lab contexts amongst external stakeholders. We contribute to project management studies by increasing the understanding of how short-term project activities foster long-term strategic changes in siloed and departmentalized host organizations while at the same time creating outcomes in the external urban living lab context. This provides novel insights into the evolving intermediary roles of projects that support city organizations in acting as leaders in urban sustainability transitions.

Introduction

Projects have become vital in initiating urban sustainability changes and there is a call for project studies focusing on sustainability transitions. Increasingly, cities and other host organizations use projects to become credible actors for sustainability. Sustainability transitions research (Köhler et al., 2019) has developed approaches to analyse the systemic nature of transitions, including the multi-level approach (MLP) and other, more horizontal approaches applied particularly in research on urban sustainability transitions (von Wirth et al., 2019). In project research, there is a rising orientation toward sustainability transitions. Most recently, Winch (2022) envisaged that projects in sustainability transitions will begin a new era in project research, Daniel (2022) developed an integrative framework between MLP and project research, and Bos-de Vos et al. (2022) studied system transformations through context dynamics, albeit not using the transition vocabulary. We contribute to the rising research orientation on projects supporting sustainability transitions with a focus on sustainability projects in city organizations.

Cities are key organizations in urban sustainability transitions. These transitions are multi-actor, multitemporal and multi-regime societal transformations coordinated by the city (Frantzeskaki et al., 2017). Niches that can instigate transitions in urban areas include urban living labs (ULL), in which sustainability innovations are created and experimented in collaboration between the city, companies, citizens, research institutes and other actors (Jørgensen, 2012, von Wirth et al., 2019). The transition accelerates when the niche innovations are translated and scaled up within and across cities to increase their transformative capacity. When they challenge the unsustainable regimes with the support from incumbent actors, they can gradually turn urban development into more sustainable pathways (Frantzeskaki et al., 2017). We recognize that sustainability transition in cities requires attention to two parallel directions. First, while cities are expected to be enablers of ULLs and the main leaders of urban sustainability transitions, they are not unitary actors, but rather divided into siloed bureaucratic departments in city administration. Each department tends to defend its own interests, conventional mindset, and budgetary status quo, and if these fragmented interests and practices are not aligned with the promotion of sustainability transitions, the city administration will lack the motivation to support multi-objective ULL projects and their continuities. Second, because experiments and projects are central to ULLs and essential to wider urban policy agendas for sustainability, it is questionable whether these short-term activities can support the long-term trajectories required for urban sustainability transitions (Torrens & von Wirth, 2021). While only the second challenge is in the focus of sustainability transitions research, the challenges are independent and create a dual-context problem in which a city organization has both internal and external barriers that hinder the promotion of urban sustainability transition.

Conclusions

Urban sustainability transitions that involve changes both in city organizations and the urban context represent a topical yet sparsely researched subject. By using project-as-practice approach and based on in-depth longitudinal action research to study a sustainability transition project in a city organization this research elucidates the ways in which a project enacts a dual role as both a niche intermediary in the urban context and an endogenous change facilitator within the city organization. Thus, the temporary short-term project increases the city organization’s transformative capacity to strengthen the city’s role as a leader in urban sustainability transitions in the long term. We show that the project practitioners’ enactment of sustainability transition in situated and emergent practices created favourable conditions for people to engage in sustainability change, challenged organizational boundaries and created commitment to sustainability transition across departments. This is evidence that the praxes in a sustainability project constitute and instantiate a macro-level sustainability change in the internal organizational context and the external ULL context.

The results of this paper have theoretical implications for the ongoing discussion of the roles of projects in sustainability transitions (Daniel, 2022; Winch, 2022; see also Winch et al., 2023). Daniel (2022) and Winch (2022) emphasize that projects with their teams and individuals are necessary on the level of technical execution, whereas host organizations promote the transition on the meso‑level through projects, portfolios, and programs. In terms of key aspects of project management (Pich et al., 2002), this division is based on instructionism (project using detailed, directive project planning and risk management) and selectionism (host organization putting several projects to work and then selecting the most promising results).

Abstract

Keywords

Introduction

Smart electric pole

Sustainable power unit

Conclusion

Data Availability Statement

Declaration of Competing Interest

References

Abstract

With the effective result of IoT architecture in all research areas, we propose IoT framework based energy efficient smart and intelligent street road lighting system that consist of IoT sensor bases smart electric pole with controller for tuning LED lamps. In our work we replace traditional metal halide lamps with mesophic design LED lamps based on human eye sensitivity and it provides significant saving of energy too. Based on the sensor unit information about traffic flow and presence and absence of occupant smart and intelligent decision making module compute intensity level that generate different width pulse using PWM dimming system which triggers LED power switch via DALI controller mounted inside LED Light Controller. For efficient use of sustainable energy resources we use sustainable power systems that consist of PV solar panel units, Battery storage systems and smart electric power grids. For the charging battery system we use MPPT based dynamic battery charging algorithm. From experiment and simulated result, we observe that proposed energy efficient Smart Street lighting saves considerable amount of energy during peak and off peak hours not only at highway roads but at residential and sub-urban pedestrian areas also.

Introduction

Sustainable energy is the method of utilizing energy in an efficient way and at the same time satisfying the needs of the modern world. Sustainable energy can be used in economic, social and environmental issues. An efficient sustainable energy management system can be achieved by using renewable resources in all the possible ways, using sustainable energy resources, using alternative energy resources, making use of smart systems, implementing IoT systems, implementing green technologies. The smart system is the technique, which is used to embed the modern technology into functions already used by the world. In terms of smart system, the information about utility system and traffic flow of the large cities is extracted with the help of sensor also it analysis the pattern of information for prediction. Then, the ability to transfer data over a network without the help of human-to-computer or human-to-human interaction is called IoT or internet of things system and the green technology is used to explain the functions of science and technology to develop products as environmental friendly. Some of the examples of green technology is water purification, conserve natural resources, clan energy creation and waste recycle management. It is also used in digital and mechanical machines, objects and in correlated computing devices.

Abstract

     Security and privacy in the Internet of Things (IoT) other significant challenges, primarily because of the vast scale and deployment of IoT networks. Blockchain-based solutions support decentralized protection and privacy. In this study, a private blockchain-based smart home network architecture for estimating intrusion detection empowered with a Fused Real-Time Sequential Deep Extreme Learning Machine (RTS-DELM) system model is proposed. This study investigates the methodology of RTS-DELM implemented in blockchain-based smart homes to detect any malicious activity. The approach of data fusion and the decision level fusion technique are also implemented to achieve enhanced accuracy. This study examines the numerous key components and features of the smart home network framework more extensively. The Fused RTS-DELM technique achieves a very significant level of stability with a low error rate for any intrusion activity in smart home networks. The simulation findings indicate that this suggested technique successfully optimizes smart home networks for monitoring and detecting harmful or intrusive activities.

Introduction

     A smart home is connected to the Internet, allowing users to manage a variety of smart gadgets, each of which serves an important purpose in the home for the user and their family. The IoT is the foundation of an intelligent home network, connecting disparate intelligent devices such as smartphones, smart computers, and wearable devices. Citizens’ lives can be made easier and safer by making their homes more open and secure. The smart home provides useful resources such as monitoring habits and even safety tests, which have compelled consumers and system developers to conduct extensive research.

     Blockchain-type systems and unified “cloud-like” computing networks can be used to solve these problems. Blockchain was developed in 2008 by Satoshi Nakamoto and includes a time-stamped set of malicious evidence documentation managed by a network of autonomous networks [1]. Blockchain architecture consists of a series of blocks linked together by simple cryptography. The three main concepts underlying the operation of blockchain technologies are inflexibility, decentralization, and transparency. The three roles have been remarkably effective, exposing them to a wide range of digital currency technologies, such as the functionality of mobile vehicles, mobile phones, and embedded systems. While the blockchain platform is secure and anonymous, there are some issues with its current implementation. For example, Sybil attacks by generations of false identities to manipulate the community have become more complex.

Conclusions

     In this study, the idea of a smart contract in blockchain technology is employed to validate the user’s identity for accessibility to centralized smart home services. The most significant benefit of this research is the demonstration of how easy it is to receive facilities and how secure the resources are. There is no need to have redundant authentication because no other third-party users can access smart home systems, even if another user tries to access an already used resource. Intrusion detection in smart homes, especially in the context of assessment and prediction, remains a key concern. In the meantime, recent advances in the blockchain and machine learning sectors have demonstrated tremendous promise to accomplish these aims. Discussing the need for an efficient approach, this study provided a compact and efficient mechanism for intrusion prevention. An RTS-DELM approach was developed, and also data fusion techniques were presented to optimize multi-sensor networks. Numerous measures were used to assess the feasibility of the proposal. The consistency of RTS-DELM findings showed that the proposed method is more successful than others. The suggested RTS-DELM solution obtained an exceptionally high rate of success, showing 95.28% accuracy. The findings obtained are encouraging, and we will continue to investigate more applications for the device through the deployment of more datasets and varying frameworks.

Abstract

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Abstract

In recent years, the world’s population living in cities has been rapidly increasing. Cities are transforming their infrastructure in a smarter and more efficient way so that sustainable development forms part of their long-term strategy. However, this transformation does not always result in expected benefits due to a variety of factors such as an absence of social acceptance, a lack of holistic design and the development of unilateral interventions. An analysis of the scientific literature related to the evaluation of the impact of smart city actions revealed a gap in the holistic methods for their assessment. To this end, an accurate evaluation of implemented smart solutions focusing on the energy domain is necessary in order to assess the expected and realized impact of each solution. This paper proposes a seven-step methodology for assessing the impact of smart city interventions and presents a use case for the city of Espoo. A number of major findings were the outcome of our research and development work, such as the need for a thorough analysis of the long-term vision of the city, a combined top-down and bottom-up approach and the ongoing cooperation between all stakeholders involved in urban planning and transformation, in which necessary Key Performance Indicators (KPIs) are defined.

1. Introduction

1.1. The Necessity of Impact Assessment
According to the United Nations [1] 68% of the world’s population is projected to live in urban areas by the year 2050; cities, therefore, are anticipated to face new challenges in sustainably integrating further populace, such as a lack of appropriate infrastructure for sustainable energy and automated systems, applications and commercial arrangements, digital security, network connectivity and data capacity [2]. Cities will be required to transform their infrastructures in a smarter, more efficient and resilient way so that sustainable development forms part of their long-term strategy and a better quality of life is assured to their citizens. The concept of the smart city is multidimensional [3], with the aim of increasing urban sustainability and quality of life while pursuing economic development among its citizens [4]. Additionally, sustainability has gained popularity among scholars, environmental policy makers and government agencies [5]. However, a smart city is not just about creating technically viable urban areas and stimulating economic growth; it requires a multifaceted and multidimensional approach that promotes a structural transformation in the urban ecosystem, directing the development of cities towards their “smartness” in areas such as economy, governance, social, environment, mobility and ICT [6].

Abstract

Introduction

Nancy Fraser’s conceptualization of justice

Affirmative versus transformative remedies for injustices

Justice in critical literature on smart cities

Redistribution

Recognition

Representation

From the smart to the just city in the digital age

From affirmative to transformative strategies

Retaining and regaining technological sovereignty

Conclusions

Acknowledgements

References

Abstract

     The smart city is the most emblematic contemporary expression of the fusion of urbanism and digital technologies. Critical urban scholars are now increasingly likely to highlight the injustices that are created and exacerbated by emerging smart city initiatives and to diagnose the way that these projects remake urban space and urban policy in unjust ways. Despite this, there has not yet been a comprehensive and systematic analysis of the concept of justice in the smart city literature. To fill this gap and strengthen the smart city critique, we draw on the tripartite approach to justice developed by philosopher Nancy Fraser, which is focused on redistribution, recognition, and representation. We use this framework to outline key themes and identify gaps in existing critiques of the smart city, and to emphasize the importance of transformational approaches to justice that take shifts in governance seriously. In reformulating and expanding the existing critiques of the smart city, we argue for shifting the discussion away from the smart city as such. Rather than searching for an alternative smart city, we argue that critical scholars should focus on broader questions of urban justice in a digital age.

Introduction

     We live in an age where digitization, digital networks, big data, and internet-based infrastructures are ‘mediating and augmenting the production of space’ and in so doing, are ‘transforming socio-spatial relations’ (Ash, Kitchin, and Leszczynski 2018, 29). The smart city is an emblematic expression of these transformations where data, sensors, and algorithms are presented as technical solutions for urban problems. After initially being dominated by affirmative perspectives, since about 2014 an increasing number of critical views on the smart city have been published by geographers and urban scholars (amongst by now many others, see Cardullo and Kitchin 2019; Cugurullo 2018; Greenfield 2013; Hollands 2008, 2015; Kitchin 2016; Leszczynski 2016; Rose 2020; Söderström, Paasche, and Klauser 2014; Wiig and Wyly 2016), with some of the earliest and most cited critiques being published precisely in this journal (Hollands 2008; Söderström, Paasche, and Klauser 2014).

     Most of these critiques directly or indirectly invoke questions of justice; however, they rarely define its meaning. Consequently, the meaning of justice in critical smart city debates remains elusive and theoretically underdeveloped. This is despite the fact that critical urban geographers have of course long engaged with concepts of social justice, from Lefebvre’s (2003 [1970]) call for the right to the city, further developed for example by Marcuse et al. (2009) and Brenner, Marcuse, and Mayer (2009), to questions of spatial justice (Soja 2010; Marcuse 2009; Fainstein 2009), to Harvey’s (1973) seminal work on justice and the city, to interventions like Fainstein (2010) which highlight the importance of participatory engagement to expand understandings of urban justice (for on overview on some of them with reference to the smart city see Kitchin, Cardullo, and Di Feliciantonio 2019; for an application of David Harvey’s social justice theory on questions of the smart city see Vanolo 2019).

Conclusions

     We are currently observing the increasing centrality of digital technologies in public discourse, proposed as responses to current social and political problems of the city. In this article, we presented a comprehensive definition and framework of justice to guide progressive efforts in assessing and reimagining smart city initiatives and argued for transformative remedies for injustice. Building on Fraser’s tripartite framework, we examined justice in critical smart city literature along economic, social, and political lines. We observed notable tensions, marked by a recognition on the one hand of the ways in which digital practices mediate and reinforce domination, dispossession, disenfranchisement, and social differentiation, and on the other, a desire to exploit the emancipatory potential of digital practices as sites of generative possibility for thinking, acting, and being otherwise. In assessing visions of alternative smart cities, we highlighted the need for transformational change, for instance, through technology sovereignty movements which provide collective ownership of data-intensive digital and algorithmic platforms and services.

Abstract

Introduction

Review of literature on the current understanding and ongoing debate of smart cities

Method and data

Results and discussion

Conclusion

Declarations

References

Abstract

     Smart city is one of the fastest growing socio-economic and scientific initiative in the world. Still, it is only in principle and a mere blueprint for many developing countries. This study reviews literature on smart city in Nigeria and developing countries. Our aim is to explore ways to improve the quality of Nigeria’s urban areas, based on recent research on the concept of smart city and its implementation. We summarise key research findings, and gather evidence that shows what composition of urban governance, social, economic, and environmental factors, that would influence actualising a smart city in Nigeria. Although knowledge has grown tremendously in the current literature on the definition, significance, governance, policy, and implementation of a smart city, its significance in Nigeria and other developing countries is supplemental. As an environmentally friendly initiative, a smart city will support urban sustainability and livelihood in Nigeria in a myriad of ways—environmental protection, and mainstream urban services, including public security and safety, access to quality health care, efficient power supply, clean water distribution, assets management, smart transportation, etc. However, despite her unique traditional urban agglomeration trends, Nigeria is unambitious and constrained towards actualising a smart city. Actualising a smart city in Nigeria and other developing countries would require radical and ambitious policies on development of human and infrastructural capacity, as well as institutional reinforcement. This highlights the need for more research, of which we are optimistic that the findings of this research will support with its new insight and clear guidelines.

Introduction

     A smart city is modern architectural philosophy, focusing on the use of information and communication technology (ICT) to solve problems endogenous to the city, and to power vital activities. It represents a major transformation from the traditional urban agglomeration to a twenty-frst-century metropolis, which advances city functions, promotes economic growth, and improves the quality of life for citizens (Bakıcı et al., 2013). One obvious beneft of a smart city is the level of government response to the needs and well-being of citizens through positive interaction between the government and citizens, aided by technology-driven policies and services. When we look at some of the smart cities in the world today for example Singapore, San-Diego, Barcelona, and Hong Kong, we could fnd that smartness of cities creates applications and urban services that combine technology and promotes the development of policies and practices to address the social, economic, and environmental challenges facing today’s urban areas (Su et al., 2011).

Conclusion

     A smart city represents a shift both in mindset and architectural framework from the traditional agglomeration of roads, public utilities, and amenities to a modern system that uses big data and ICT to enhance the livelihood of the citizens and government policy and program of service delivery within the city. This is a major incentive for research and policy towards the sustainable development of cities. There is also an opportunity to tackle urban scenic distortion and to provide a more dynamic and diversifed science to address common issues – such as climate change, increasing frequency, and severity of crimes, social disorders, and disasters – arising from urban agglomerations and the burgeoning human population in cities.

For the developing countries (DCs) such as Nigeria – the focus of this study – a smart city’s conceptualization is slightly skewed because of the vagaries of challenges to its actualization. Thus, the idea of a smart city is still more utopian than realistic. However, the future of the DCs is arguably a smart city because of the complex urbanizations and predictions that places within the DCs will contribute signifcantly to the global urban populations, which is estimated at 90% of the global population by 2050. Therefore, to address the attendant problems that prevail presently in the DCs’ urban areas – which include environmental, economic, and human development issues – a smart city is a potent option.

Abstract

Introduction

Seeing the smart city

Smart city visibility

Visibility and stratagems

Three strategies of visibility

Visualizing smart cities

A politics of visibility

Declarations

References

Abstract

     Cities across the world are increasingly labelling themselves as smart in one way or another. At the same time, this smartness appears amorphous or invisible in its built urban environment. Critical researchers writing on the smart city regularly express confusion or exasperation about precisely the difficulty to locate the smart in the city. Visibility of the smart city is not a given. This article argues that visibility in the case of the smart city is instead strategically produced, and that the strategy opted for tells us something about the kind of urban imaginary put forward. The article introduces a provisional and non-exhaustive taxonomy of strategies of visibility based on analyses of three different cases of smart city projects (in Brazil, Sweden and Canada) and identifies the ways in which the smart city is made visible (or not)—symbolic presence of smart, modelling smart and ubiquitous invisible smart—and discusses what kind of city is envisioned based on each strategy.

Introduction

     The following article investigates the visibility of the smart city. The main argument is that smart city visibility is strategic rather than given, and the article presents three different strategies of visibility inferred from urban examples: the control room of Rio de Janeiro’s smart city operations (the COR), a proposed smart model city in Sweden (Plusstaden) and visualizations of the proposed and later discontinued project Sidewalk Toronto. These three cases represent three different strategies of making the smart city visible: symbolic presence of smart (manifestation through a representation of a smart object or space), modelling smart (constructing exemplary environments), and ubiquitous invisible smart (a strategic invisibility). The article, furthermore, argues that the way in which the smart city is made visible outlines different future imaginaries that produce different relationships between state, smart system, and inhabitants. Smart city visibility will therefore ultimately constitute a political question, not least with regards to transparency, and deserves more scholarly attention than has been the case up to now.

     The principal contribution of the article is to the under researched field of the smart city’s medial and material manifestations. While smart city visibility is touched on in a range of critical research into the following areas: material manifestations of the smart city (Halpern 2015; Picon 2015; Halegoua 2020), visualizations of smart city (Rose 2017, 2018a, b) and narratives of the smart city (Söderström et al. 2014), there is very little research concerning itself with its visibility as such, and even less on the strategic aspects of this visibility. In this sense, the article contributes to the field of smart city visibility through differentiating between different approaches to visibility of smart cities. The article provides a preliminary framework for further analysis of smart city visibility and offers a set of analytical concepts for future research and policymaking.

A politics of visibility

     Sometimes, the smart city is presented as a uniform corporate vision, at times juxtaposed with ‘civic hackers’ (Townsend 2013) or the ‘social city’ (Halegoua 2020), offering community-based non-corporate alternatives to the corporate smart city vision. The smart visions here discussed through their strategies of visibility cannot be neatly divided in this sense. Instead, the material suggests a bigger variation of smart city dreams—the municipal government (with IBM in Rio de Janeiro) vs the national Swedish platform proposed by Plusstaden and the corporate smart city of Sidewalk Toronto.

     I am not arguing that one smart city strategy of visibility is necessarily preferable to others, it would seem to be too early to decide, nor that all models are good or bad. Rather, they present different problems to its inhabitants, not only through the different subjectivities encouraged but also in terms of experience and transparency. These problems need to be addressed through other measures, through policy and laws. The strategies of visibility themselves require different societal responses and the strategies’ political effects will depend on these responses.

Abstract

1. Introduction

2. Methodology

3. Characteristics of a Happiness Driven Smart City

4. Key factors contributing to characteristic performance in a Happiness Driven Smart City system

5. Mechanism for developing Happiness Driven Smart City

6. Strategic measures and assessment process for the application of HDSC mechanism

7. A Greater Manchester case study

8. Discussion and conclusion

CRediT authorship contribution statement

Acknowledgment

Appendix

References

Abstract

     Smart City conception has become a global trend with the advancement of Information and Communications Technologies (ICTs). Many cities have proposed Smart City development strategies to capture the opportunities brought by ICTs. However, little attention has been given to investigate whether and how Smart City acts upon human happiness. To fill this gap, this study introduces a Happiness Driven Smart City (HDSC) mechanism to better guide the development of Smart City towards a more human-centered direction. HDSC mechanism includes a three-layer interrelated structure and is underpinned by a set of Strategic Measures. The assessment criteria have also been established for applying HDSC mechanism to investigate the performance of Smart City initiatives. The HDSC mechanism established in this study is a first attempt to assess the performance of Smart City development from the lens of human happiness. By applying HDSC mechanism in investigating Manchester’s Smart City initiatives, the mechanism is proven effective to help decision makers understand the status quo of Smart City development in their urban context, based upon which the strength and weakness in the process of HDSC development can be drawn out. Consequently, Smart City blueprint can be better achieved towards a happiness-driven direction via dynamic assessment and adjustment.

Introduction

     Smart City is expected to provide better solutions for the intensified socioeconomic and environmental challenges associated with the unprecedented urbanization by embracing advanced Information and Communication Technologies (ICTs), where challenge like climate change, energy crisis, or social inequality could all find its way out through the development and application of state-of-the-art technologies (Manville et al., 2014; Michalec et al., 2019; United Nations, D.o.E.a.S.A., 2019; Yigitcanlar et al., 2019). The idealized narrative of Smart City has been widely accepted and turned to global movement at an appreciable speed for economic expansion and societal transformation (Cheng et al., 2020; Deloitte, 2018; Vu et al., 2020). It was reported that more than 1000 cities globally have introduced the Smart City initiatives with Europe, North America, Japan and Korea at the leading position (Deloitte, 2018). By applying Smart City initiatives, some global cities keep their central position in the landscape of innovation and knowledge generation (Yigitcanlar et al., 2016), and others have revitalized their urban economy to foster, attract and retain innovation abilities (Holland, 2015). However, it appears that Smart City’s influence upon human happiness has been paid with only marginal attention amid the practices of Smart City development.

Discussion and conclusion

     This paper argues that human happiness should be embodied as a key element in the process of Smart City development. The study embarks with the research question that whether and how Smart City acts upon human happiness in the trendy development of Smart City globally. By conceptualizing the Happiness Driven Smarty City (HDSC) and capturing the Characteristics and Factors of HDSC, a Happiness Driven Smart City Mechanism has been established, which is underpinned by various applicable and measurable Strategic Measures. To our knowledge, the HDSC Mechanism is a first attempt to assess the performance of Smart City development from the lens of human happiness, which integrates human happiness into the planning, constructing and delivering process of Smart City strategies. The established HDSC Mechanism in this study provide an applicable toolkit to urban governors for better harnessing Smart City blueprint towards a happiness-driven and human-centered direction. The applicability and effectiveness of HDSC mechanism has been validated via the empirical investigation to Greater Manchester’s Smart City initiatives.

Abstract

Keywords

1. Introduction

2. Related work

3. Evaluation system of urban green space landscape planning based on PSO-BP neural network model

3.1. Application feasibility and evaluation index of neural network in urban green space landscape planning scheme evaluation

3.2. Network construction of urban green space landscape scheme evaluation system

3.3. Network optimization of urban green space landscape scheme evaluation system

4. Training results and simulation results of urban green space landscape scheme evaluation system

4.1. Training results of PSO-BP neural network system for urban green space landscape scheme evaluation

4.2. Evaluation and analysis of PSO-BP neural network system for urban green space landscape scheme evaluation

5. Conclusion

Funding Statement

Declaration of Competing Interest

References

Abstract

The evaluation simulation of urban green space landscape planning scheme based on PSO-BP neural network model is carried out in this paper. PSO-BP neural network can combine the principle of landscape ecology, integrate more evaluation indicators of ecology and urban development into the urban green space landscape planning scheme, and simply understand and predict human behavior, so as to make a more comprehensive evaluation and prediction of the urban green space landscape planning scheme. It not only has superior memory storage and learning ability, but also can simply understand and predict human behavior, so that more influencing factors that cannot be added in the past can be considered in the scheme evaluation and analysis, and the evaluation of urban green space landscape planning scheme is more comprehensive, scientific and reasonable. Experiments show that PSO-BP neural network has smaller error and better generalization ability than BP neural network. PSO-BP neural network rating model can analyze its more reasonable proportion according to the relationship between different types of green space and indicators, and give corresponding adjustment suggestions, which has guiding significance for the modification and adjustment of urban green space landscape planning scheme.

1. Introduction

With the continuous advancement of urbanization in China, more and more cities ignore the planning and development of urban landscape and the impact of urban green space landscape on the living standard and quality of urban residents,

With the continuous improvement of China’s comprehensive strength and international status, the degree of urbanization in China has been greatly improved, and more and more urban construction is close to fashion cities. But at the same time, many cities ignore the planning and development of urban green space landscape and the impact of urban green space landscape on the living standards and quality of urban residents, resulting in the continuous reduction or even lack of urban green space landscape area, the simplification of urban landscape and the imbalance of ecological environment, Finally, it leads to the contradiction between the urban environment and the quality of life of urban residents [1], [2]. Urban green space landscape planning has also become an important part of urban planning and development, and is an issue of increasing concern to urban residents [3]. With the improvement of China’s economic level, the material life of urban residents has been basically met, the urban living environment has gradually become a problem of increasing concern to urban residents, and the urban green space landscape planning has also become an important part of urban planning and development [3].

Abstract

Introduction

Review of literature

Methodology

Integrated smart city model

Conclusion

Appendix

References

Abstract

     In smart city architecture, information and communication technologies are used to improve living standards and its management by citizens and government. Most researchers have divided this structure into six main components: smart people, the smart government, smart environment, smart transportation, smart economy, and smart life. Due to the connection between smart cities and the challenges resulting from their implementation and especially its integration, there exists no perfect solution for the concept of an integrated smart city so far according to our studies. Some more general concepts such as security, ICT infrastructure, and knowledge are not seen integrative in these structures. Therefore, it seems that new sub-components and general extra-components should be added to the existing models to form an integrated structure in such a way that the executive projects are located in their proper place in this structure and create and guarantee the integration of the smart city. Therefore, the requirements engineering of the smart city can also be explained more precisely. This study presents a model of an integrated graph in such a way that besides maintaining and improving the model of the smart city and existing models, it will fully cover the integration and requirements engineering and methodologies of the smart city in the future.

Introduction

     The process of urbanization is currently taking place at a rapid pace on a global scale. Every year, millions of people migrate from rural to urban areas to gain comfort and economic opportunities. According to the United Nations (UN), 6. 5 billion people will live in cities by 2050, and more than 60% of the world’s population will be concentrated in cities (Schuurman and Baccarne 2012). On the global scale, International Data Corporation (IDC) estimates that the steady increase in smart cities’ expenses will rise to $ 158 billion by 2022 (Twice as much as $ 80 billion in 2018) (Visan and Ciurea 2020). Rapid population growth, besides putting considerable pressure on current cities, will pose serious threats to the future, leading to increased demand for services, housing facilities beyond the capacity of cities, as well as irreparable damage to the environment. As a result, cities face many challenges as their resources and infrastructure increase under increasing pressure (Breetzke 2016). Therefore, they always suffer from adverse consequences. Also, the sudden emergence of problems such as the recent Panorama of Covid-19 as well as advances in telecommunications, especially the Internet, along with the development of electronic devices, have changed people’s everyday life and their minds in all aspects of economic and social fields (Das and Zhang 2020).

Conclusion

     In previous research based on the current situation and thematic literature, the concept of smart city was mostly proposed and implemented as an island with six main components in different societies. Also due to the increase in urbanization and the connection of smart cities with the challenges that arise in implementing and integrating the urban model, a suitable solution for the concept of integrated smart city Was not provided to your best knowledge and some essential concepts such as security, ICT infrastructure and knowledge are not seen integrative in these structures. In order to integrate, prevent data redundancy, ease of access, create security at different levels, the present study Provides a flexible, integrated, localizable dynamic model with a new approach that breaks down six core components into several sub components that creates a graph-like model, in which each sub component represents a set of implementable smart projects in different communities.

Abstract

Document Sections

I. Overview of the Framework

II. Background Works

III. Proposed Framework

IV. Consensus Algorithm and Flowchart of Proposed Framework

V. Results and Discussion

VI. Conclusion

Abstract:

This manuscript describes since the resources are heterogeneous, a smart city is vulnerable to several security attacks, and to devise an effective response, it is necessary to recognize certain risks and their potential implications. The framework is responsible for the data transfer security issues in the smart city to incorporate and maintain physical, social, and industrial systems to provide high-quality secure data transmission to its residents. The proposed method of integrating the Blockchain and Internet of Things (IoT) with a consensus algorithm framework (BCIoT-CAF) to overcome the issues and secure data sharing in smart cities. The data security is enforced by splitting the blockchain network into separate networks, with any channel consisting of a limited number of approved entities, the data stored in the cloud gate server, and analysis of data achieved by IoT applications. The consensus algorithm plays an important role in retaining the blockchain’s speed, protection, and performance. Using an appropriate security algorithm, blockchain applications may greatly improve their performance. The modeling simulation of this research improves the speed, protection, and efficiency of 96% and tolerance error as 55%. The integrated evaluation results suggest that the proposed system integrates blockchain with IoT to provide a shielded communication platform in smart cities.

I Overview of the Framework

Blockchain used to share the data information securely and avoid any other fraudulent data threats[1]. IoT system implementations can be challenging and a transmitting ledger ideal for defining, authenticating, and protected data securely from IoT devices [2],[3]. Blockchain and IoT are two innovations rising in importance since they started. IoT can affect nearly ordinary things shortly. In the increased use of this tool, the risk of violence decreases [4]. To cope with this, existing techniques are not adequate. Blockchain has proven to be an innovative approach to IoT security problems and is a distributed network that relies on a consensus algorithm, ensuring agreement between distributed nodes on the status of some data [5],[6]. The central factor of the consensus algorithm that specifically defines a program operates and its output [7]. Blockchain technology attracting more coverage, revolutionize, automate the digital network of internet-based technologies [8]. This is a shared database that tracks each transaction that takes place on a network[9],[10]. It has a block spread over a node network. The consensus algorithm is a mechanism in which all the blockchain system peers decide on the existing state of the decentralized directory [11]. This ensures that consensus algorithms build stability in the blockchain network and confidence in the distributed computing system among unidentified peers [12]. The consensus protocol guarantees that a new block stored on the blockchain is the valid iteration accepted by all of the blockchain peers [13], [14].