Exploiting Big Data Analytics for Urban Planning and Smart City Performance Improvement

Silva, Bhagya Nathali; Khan, Murad; Seo, Jihun; Diyan, Muhammad; Yoon, Yongtak; Han, Jing; Han, Kiiun

doi:10.1109/icspcs.2018.8631726

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…[69] The City was reexamined and understood through data, intelligent plan collection, science-driven urban building, and new urban wisdom development environment were studied, urban planning problems resolved, and urban management operations improved continuity and efficiency. [70] A threefold architecture has been proposed for data storage and data analyzes and for data application. They used the planned BDA embedded Smart City to assess authentic data on water use, pollution, parking and air quality control.…”

Section: Discussionmentioning

confidence: 99%

“…The author can complete the entire phase of urban planning, design, and management using big data as our guide. B. N. Silva [70] proposed an intelligent city architecture with Big Data Analytics (BDA) built in. The proposed Scheme's main aim is to improve the efficiency of real-time decision-making by implementing adequate Big Data (BD) processing.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Survey of Data Mining Implementation in Smart City Applications

Ageed

Zeebaree

Sadeeq

et al. 2021

QAJ

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Many policymakers envisage using a community model and Big Data technology to achieve the sustainability demanded by intelligent city components and raise living standards. Smart cities use different technology to make their residents more successful in their health, housing, electricity, learning, and water supplies. This involves reducing prices and the utilization of resources and communicating more effectively and creatively for our employees. Extensive data analysis is a comparatively modern technology that is capable of expanding intelligent urban facilities. Digital extraction has resulted in the processing of large volumes of data that can be used in several valuable areas since digitalization is an essential part of daily life. In many businesses and utility domains, including the intelligent urban domain, successful exploitation and multiple data use is critical. This paper examines how big data can be used for more innovative societies. It explores the possibilities, challenges, and benefits of applying big data systems in intelligent cities and compares and contrasts different intelligent cities and big data ideas. It also seeks to define criteria for the creation of big data applications for innovative city services.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Survey of Data Mining Implementation in Smart City Applications

Ageed

Zeebaree

Sadeeq

et al. 2021

QAJ

View full text Add to dashboard Cite

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“…The first perspective deals with BDA implementation in a specific domain, while the second perspective deals with technological aspects. From an application perspective, BDA utilization has been addressed in various smart city domains, such as planning [3,10,22,23], traffic control and transportation [24,25], crime analysis [7], energy [26], environment [27], healthcare [8,14,28], and logistics [19]. A direct and intuitive way to evaluate the impact of incorporating BDA in decision-making on the efficiency of the decision taken is to track a quantified performance measure indicator (e.g., processing time, service cost) before and after applying the decisions.…”

Section: Related Workmentioning

confidence: 99%

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

2022

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The relationship between big data analytics (BDA) and smart cities (SCs) has been addressed in several articles. However, few articles have investigated the influence of exploiting BDA in data-driven decision-making from an empirical perspective in a case study context. Accordingly, we aim to tackle this scarcity of case-study research addressing the interrelationships between SCs, BDA, and decision-making. Filling this gap will shed light on the challenges and design principles that should be considered in designing a BDA artifact in the domain of smart cities. We analyze a case study of a digital transformation project in Egypt. Results show a tangible positive effect of utilizing data analytics in support of the decision-making process.

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“…Today, the importance of city management is focused on new technologies, sustainability, social aspects, and complex solutions. It is based on the realization of new cases, architecture improvements, IoT deployment, data connectivity, and integration of these particularities, m main objective of ensuring acceleration, the knowledge-based approach, future strategies, and sustainable evolution of livable cities [1][2][3]. The importance of livability also lies in the movement, accessibility, social, and environmental aspects that fall within the scope of urban transportation [4].…”

Section: Introductionmentioning

confidence: 99%

Usage of V2X Applications in Road Tunnels

et al. 2022

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Many smart city applications work with calculated position and time using the Global Navigation Satellite System (GNSS) signals for enhanced precision. However, there are many places where the availability of GNSS is limited, e.g., road tunnels, which are an essential part of transport infrastructure. Tunnels also require greater attention and greater importance of approaches to ensure the safety and security aspects of traffic. The safety, distribution of information, awareness, and smooth traffic can also be ensured by V2X applications, but the current position is also needed. An experimental analysis of data connection and communication availability was performed in the Blanka tunnel (Prague) and its surroundings. The main objective of the work was to find and clearly describe the tunnel blind spots, with an emphasis on communication between cars and potentially between cars and infrastructure. This article summarizes the evaluation results of the V2X tunnel experimental test, the outputs from the analysis of these blind spots, and it provides a future perspective and suggestions that make tunnels smart by using advanced positioning approaches.

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Exploiting Big Data Analytics for Urban Planning and Smart City Performance Improvement

Cited by 7 publications

References 10 publications

A Survey of Data Mining Implementation in Smart City Applications

A Survey of Data Mining Implementation in Smart City Applications

Data-Driven Decisions in Smart Cities: A Digital Transformation Case Study

Usage of V2X Applications in Road Tunnels

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