Analyzing the Challenges for Future Smart and Sustainable Cities

Paes, Vítor de Castro; Pessoa, Clinton Hudson Moreira; Pagliusi, Rodrigo Pereira; Barbosa, Carlos Eduardo; Argôlo, Matheus; de Lima, Yuri Oliveira; Salazar, Herbert; Lyra, Alan; de Souza, Jano Moreira

doi:10.3390/su15107996

Cited by 26 publications

(12 citation statements)

References 74 publications

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“…Recently, it has been reported in the Philippines that government efforts are being promoted [78] to try to develop a sustainable economy [79]. In current practice, encouragement of transportation [80], renewable energy [81], and logistics [14] are evident.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products

Villanueva,

Ong,

German

2024

Sustainability

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The COVID-19 pandemic has led to an increase in the use of personal protective equipment and single-use plastics, which has exacerbated plastic littering on land and in marine environments. Consumer behaviors with regards to eco-friendly products, their acceptance, and intentions to purchase need to be explored to help businesses achieve their sustainability goals. This paper establishes the Sustainability Theory of Planned Behavior (STPB), an integration of the TPB and sustainability domains, in order to analyze the said objectives. The study employed a machine learning ensemble method and used MATLAB to analyze the data. The results showed that support and attitude from perceived authorities were the main variables influencing customers’ intentions for purchasing reduced plastic products. Customers with a high level of environmental awareness were more likely to embrace reduced plastic items as a way to lessen their ecological footprint and support environmental conservation, making perceived environmental concern another important factor. This shows that authorities play a big role in the community in influencing people to choose reduced plastic products, making it the duty of governments and companies to promote environmental awareness. This study emphasizes the significance of the latent variables considered when developing marketing plans and activities meant to promote products with less plastic.

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Section: Discussionmentioning

confidence: 99%

Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products

Villanueva,

Ong,

German

2024

Sustainability

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“…Smart cities are urban areas that use digital technologies and data to enhance the quality of life [218], efficiency, and sustainability [198,199] of their residents and stakeholders. However, there are a number of challenges to implementing smart city [244] solutions, including:…”

Section: Smart Cities' Implementation Challengesmentioning

confidence: 99%

“…Smart city projects can be expensive, and funding can be a challenge [244], especially in developing countries.…”

Section: Fundingmentioning

confidence: 99%

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Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

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As the world becomes increasingly urbanized, the development of smart cities and the deployment of IoT applications will play an essential role in addressing urban challenges and shaping sustainable and resilient urban environments. However, there are also challenges to overcome, including privacy and security concerns, and interoperability issues. Addressing these challenges requires collaboration between governments, industry stakeholders, and citizens to ensure the responsible and equitable implementation of IoT technologies in smart cities. The IoT offers a vast array of possibilities for smart city applications, enabling the integration of various devices, sensors, and networks to collect and analyze data in real time. These applications span across different sectors, including transportation, energy management, waste management, public safety, healthcare, and more. By leveraging IoT technologies, cities can optimize their infrastructure, enhance resource allocation, and improve the quality of life for their citizens. In this paper, eight smart city global models have been proposed to guide the development and implementation of IoT applications in smart cities. These models provide frameworks and standards for city planners and stakeholders to design and deploy IoT solutions effectively. We provide a detailed evaluation of these models based on nine smart city evaluation metrics. The challenges to implement smart cities have been mentioned, and recommendations have been stated to overcome these challenges.

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“…In particular, the diffusion of place branding strategies focused on sustainability motivates cities to turn to smart solutions and to transit as models of economic growth that are environmentally sustainable and socially inclusive [32]. For this reason, cities nowadays try to provide better quality services, increase effectiveness and productivity, address congestion and environmental issues, and promote local economic competitiveness [33].…”

Section: Definitions and Measurement Of Territorial Competitivenessmentioning

confidence: 99%

Environmental Sustainability and Territorial Competitiveness: A Comparison between Italian Provinces

Pane

2023

Sustainability

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The emergence of globalisation and the removal of obstacles between markets have heightened rivalry between territorial areas. To have a competitive advantage, the regions have to be unique. As one of the tactics used to boost their reputation on a territorial level, territories are progressively adopting environmental policies for sustainable and shared prosperity. Indeed, effective management of urban growth depends heavily on sustainable development. In this regard, the literature occasionally refers to the “green branding” of cities, a strategy that makes use of environmental aspects to boost the allure of metropolitan environments. There is currently little consensus in the literature on the measuring of environmental performance, and no statistical study has been done to confirm the efficacy of these measures in terms of territorial competitiveness. Therefore, it is important to determine whether there is a relationship between a territory’s level of sustainability and competitiveness in Italy. According to the statistical analysis of the Italian provinces, the Northeast, Northwest, Centre, and Islands are the four geographical regions with the highest average scores. This unquestionably indicates a basic comprehension and supports the notion that there is a relationship between the two variables. However, it also serves as a warning about how geographical disparities in Italy represent a major issue affecting the most diverse sectors. In addition, the COVID-19 pandemic problem has drastically altered consumer demands and goals, leading consumers to seek out more sustainable travel and cities that are designed with citizens’ requirements in mind. It will therefore become more and more important to research how public and private administrators, as well as policy makers, react to these changes.

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Analyzing the Challenges for Future Smart and Sustainable Cities

Cited by 26 publications

References 74 publications

Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products

Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products

Global Models of Smart Cities and Potential IoT Applications: A Review

Environmental Sustainability and Territorial Competitiveness: A Comparison between Italian Provinces

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