Using multivariate statistical methods to assess the urban smartness on the example of selected European cities

Hajduk, Sławomira

doi:10.1371/journal.pone.0240260

Cited by 9 publications

(9 citation statements)

References 36 publications

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“…Sustainability aims to improve life quality without troubling environmental safety [1]. Various studies have shown that smart city projects are always concerned with sustainability objectives [2,3]. Smartness and sustainability are interrelated in city strategies [4,5].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Karâa

Alkhammash

Slimani

et al. 2021

Journal of Healthcare Engineering

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The paper presents a recommendation model for developing new smart city and smart health projects. The objective is to provide recommendations to citizens about smart city and smart health startups to improve entrepreneurship and leadership. These recommendations may lead to the country’s advancement and the improvement of national income and reduce unemployment. This work focuses on designing and implementing an approach for processing and analyzing tweets inclosing data related to smart city and smart health startups and providing recommended projects as well as their required skills and competencies. This approach is based on tweets mining through a machine learning method, the Word2Vec algorithm, combined with a recommendation technique conducted via an ontology-based method. This approach allows discovering the relevant startup projects in the context of smart cities and makes links to the needed skills and competencies of users. A system was implemented to validate this approach. The attained performance metrics related to precision, recall, and F-measure are, respectively, 95%, 66%, and 79%, showing that the results are very encouraging.

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Section: Introductionmentioning

confidence: 99%

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Karâa

Alkhammash

Slimani

et al. 2021

Journal of Healthcare Engineering

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“…The “ISO 37120 standards” by the International Organization for Standardization (ISO) (Hajduk, 2020; Hajduk, 2021), the “Sustainable Development Indicators” by the Organization for Economic Co‐operation and Development (OECD) (Pira, 2021), the “Environment Protection Standards of the European Environment Agency” (Chen, 2020), the “BRIC Framework (Baseline Resilience Indicators for Communities)” (Zhu et al, 2019), the “SAFE Model (Sustainability Assessment by Fuzzy Evaluation)” (Phillis et al, 2017), and “Neighborhood Sustainability Assessment” (Pedro et al, 2021) are some of the models/tools used for this purpose. Here, the ISO 37120 standard, in particular, is a framework adopted in many studies.…”

Section: Resultsmentioning

confidence: 99%

“…The smart integration enabled by ICT offers new insights and services for the city (Angelakoglou et al, 2019). A smart city realizes sustainable development and quality of life making use of ICT (Hajduk, 2020).…”

Section: Definitions Of “Smart City” “Sustainable City” and “Smart Su...mentioning

confidence: 99%

A systematic literature review: Setting a basis for smart and sustainable city performance measurement

Karal

Soyer

2023

Sustainable Development

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The growing amount of data and the inventive solutions that arise from it create opportunities to construct and manage smart sustainable cities. Before attempting to establish appropriate solutions in this regard, it is crucial to clearly grasp what smart and sustainable cities are and the aspects around which they are built. The purpose of this study is to critically analyze and evaluate the studies that have been conducted on smart and/or sustainable cities and to provide a basis for the measurement of smartness and sustainability of cities. In this context, using Systematic Literature Review (SLR) methodology, the smart city, sustainable city, and smart sustainable city concepts are firstly defined. After that, the indicators for the assessment of the smartness and sustainability of cities and the selection processes of these indicators are analyzed. According to the analysis, the studies were grouped based on the use of (i) selection criteria, (ii) selection methods/tools, and (iii) models used and 14 criteria were deduced from the literature for the evaluation of performance assessment indicators: measurability, availability, completeness, relevance, independence, reliability, currency, responsiveness, simplicity, representativeness, cost‐effectiveness, consistency, comparability, and consensus. This study aims to support other studies and applications of authorities on creating and assessing a smart and sustainable city (i.e., the indicators) that want to join the 2030 Agenda but face problems regarding their cities' specific conditions. The first step towards creating a smart sustainable city can be taken by determining the most suitable indicators for the city.

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“…In the article [76], the authors used correlation analysis to investigate the relationships between the latitude of countries and two QoL indicators: the HDI and the WHI, additionally, the analysis was based on data from 141 countries. In the research [77], the authors used multidimensional statistical analysis to study and assess QoL for European cities based on the ISO 37120 standard.…”

Section: Statistical Tools For Qol Analysismentioning

confidence: 99%

Artificial Intelligence for Quality of Life Study: A Systematic Literature Review

Jannani,

Sael,

Benabbou

2024

IEEE Access

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The concept of "quality of life" (QoL) encompasses all aspects of people's standard of living, including economic, social, or health-related factors, as well as their perceptions of their own lives. Although the growing application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in processing and modeling the diverse datasets associated with these domains, there remains a significant challenge in addressing different issues in QoL area of research and in fully harnessing these technologies to improve QoL research outcomes. Despite the technological advancements, current research endeavors often overlook the complex, multifaceted nature of QoL study. This oversight results in fragmented insights and leaves significant areas underexplored. In this work, we conducted a systematic literature review (SLR) to investigate the contribution of AI to QoL studies. For this, we collected 68 research works published between 2008 and 2022. This review covers a range of research questions about the objectives and methods of studies on QoL, the sources and types of data utilized, and the advancements made through the application of natural language processing (NLP), ML, deep learning (DL), statistical models, and semantic approaches. The goal of this review is to tackle the prevalent ambiguity in QoL dimensions, synthesize the research findings, and highlight the contributions, advancements, and most innovative approaches in the field. Moreover, we identify gaps and limitations in the current literature and suggest potential areas for future research, aiming to inspire more cohesive and comprehensive approaches to studying QoL using AI and ML techniques.

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Using multivariate statistical methods to assess the urban smartness on the example of selected European cities

Cited by 9 publications

References 36 publications

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

Intelligent Recommendations of Startup Projects in Smart Cities and Smart Health Using Social Media Mining

A systematic literature review: Setting a basis for smart and sustainable city performance measurement

Artificial Intelligence for Quality of Life Study: A Systematic Literature Review

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