Toward the Integration of the Data-Driven City, the Eco-city and the Compact City: Constructing a Future Vision of the Smart Sustainable City

Bibri, Simon Elias

doi:10.1007/978-3-030-17312-8_11

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…The concept of smart and compact cities based on ecofriendly and data-driven integrated city infrastructure nowadays has gained much popularity to achieve environmental sustainability by making the optimal use of city density and energy-efficient designs (Bibri 2019). However, the idea of city compactness is a complicated concept and even could increase air pollution because of excessive urban concentration, traffic congestion, overcrowding and over-agglomeration, inadequate urban planning, inefficient infrastructure and urban sprawl problems especially in developing countries (Dieleman and Wegener 2004;Kaya and Koc 2019;Neuman 2005).…”

Section: Introductionmentioning

confidence: 99%

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Xia

Fan

Fareed

et al. 2020

Environ Sci Pollut Res

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The rapid urbanization growth has not only improved the living standards of people but also raised concerns for environmental sustainability over the globe. In this regard, the issue of excessive urban concentration or overagglomeration in metropolitan areas is nowadays the prime concern for urban planning and building energyefficient and eco-friendly infrastructures. In response to rising interest in the dynamic linkage between urban concentration and environment, the current research empirically examines the crucial nexus between urban agglomerations and environmental degradation in top ten urban agglomerated countries in the world from 1960Q1 to 2014Q4. The current research is the pioneer empirical work in the area of urbanization by applying recently developed and innovative methods of quantile-on-quantile (QQ) approach and quantile Granger causality in relatively less explored area of urban agglomeration at the cross-country level. Our mainstream findings indicate that urban agglomeration has a strong positive effect on CO 2 emissions in most of our sample countries, and this effect is more pronounced in higher quantiles of respective variables. These results imply that excessive levels of urban concentration in big cities cause environmental degradation, which could be attributed to extreme population density, overcrowding, traffic congestion and extensive demand for energy consumption. However, some countries such as Israel, Paraguay and Columbia exhibit overall declining and negative trends about the relationship between urban agglomerations and CO 2 emissions. Moreover, quantile Granger causality results confirm the previous findings of QQ regression and verify the existence of bidirectional causal nexus between urban agglomerations and CO 2 emissions in the majority of the lower, middle and upper quantiles in our selected top ten countries except for Kuwait. However, the unidirectional causal relationship also exists for several countries for extreme lower, middle and extremely higher quantiles. Our findings extend the previous work on agglomeration-environment nexus by determining the asymmetric magnitude of linkage between these two variables demanding cautious and individual-focused policies for urban planning and environmental sustainability.

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Section: Introductionmentioning

confidence: 99%

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Xia

Fan

Fareed

et al. 2020

Environ Sci Pollut Res

View full text Add to dashboard Cite

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Artificial Intelligence Enabled Smart Cities for Premises Security

Raju¹,

Jagtap²,

Kulkarni³

2022

Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges

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In the recent era, computer evolution proved that many systems could turninto automation for improving productivity, efficiency, and overall performance of theentire product development, services, and sustainability of human life. The recentevolution in other domains coupled with the computer science domain proved effectiveautomation. This is due to Artificial Intelligence and allied intelligence systems. Thereare many opportunities in AI which are currently used for governance and otherproductive work. One of the applications is smart cities, which have many integratedsystems for governance like infrastructure, energy, transportation, and lifestyle ofpeople. All these subsystems along with the security aspect are incorporated briefly inthis chapter. Advanced adaptive AI-enabled security subsystems work in collaborationwith other governance subsystems for the betterment of human life. This securitysubsystem works cooperatively using different types of sensors and makes appropriatedecisions to excel the security continuously. Machine learning expert algorithms withdeep learning and cooperative learning algorithms prove the stability and efficiency ofthese security systems. In this chapter, the security aspect is majorly focused onbuilding smart city applications.

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Toward the Integration of the Data-Driven City, the Eco-city and the Compact City: Constructing a Future Vision of the Smart Sustainable City

Cited by 2 publications

References 47 publications

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods

Artificial Intelligence Enabled Smart Cities for Premises Security

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