亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Urban resilience and livability performance of European smart cities: A novel machine learning approach

弹性(材料科学) 支持向量机 随机森林 机器学习 人工智能 智慧城市 公制(单位) 朴素贝叶斯分类器 聚类分析 计算机科学 工程类 物联网 计算机安全 运营管理 热力学 物理
作者
Adeeb A. Kutty,Tadesse G. Wakjira,Murat Küçükvar,Galal M. Abdella,Nuri C. Onat
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:378: 134203-134203 被引量:111
标识
DOI:10.1016/j.jclepro.2022.134203
摘要

Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel two-stage data-driven framework combining a multivariate metric-distance analysis with machine learning (ML) techniques for resilience and livability assessment of smart cities. A longitudinal dataset for 35 top-ranked European smart cities from 2015 till 2020 applied as the case study under the proposed framework. Initially, a metric distance-based weighting approach is used to weight the indicators and quantify the scores across each aspect under city resilience and urban livability. The key aspects under city resilience include social, economic, infrastructure and built environment and, institutional resilience, while under urban livability, the aspects include accessibility, community well-being, and economic vibrancy. Fuzzy c-means clustering as an unsupervised machine learning technique is used to sort smart cities based on the degree of performance. In addition, an intelligent approach is presented for the prediction of the degree of livability, resilience, and aggregate performance of smart cities based on various supervised ML techniques. Classification models such as Naïve Bayes, k-nearest neighbors (kNN), support vector machine (SVM), Classification and Regression Tree (CART) and, ensemble models including Random Forest (RF) and Gradient Boosting machine (GBM) were used. Three coefficients (accuracy, Cohen's Kappa (κ) and average area under the precision-recall curve (AUC-PR)) along with confusion matrix were used to appraise the performance of the classifier ML models. The results revealed GBM as the best classification and predictive model for the resilience, livability, and aggregate performance assessment. The study also revealed Copenhagen, Geneva, Stockholm, Munich, Helsinki, Vienna, London, Oslo, Zurich, and Amsterdam as the smart cities that co-create resilience and livability in their development model with superior performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
汤圆发布了新的文献求助30
1秒前
Twonej应助汤圆采纳,获得30
20秒前
56秒前
58秒前
Cherish发布了新的文献求助10
1分钟前
Raunio完成签到,获得积分10
1分钟前
HJJHJH应助Cherish采纳,获得30
1分钟前
Cherish完成签到,获得积分10
1分钟前
1分钟前
顾难摧发布了新的文献求助10
1分钟前
1分钟前
1分钟前
顾难摧发布了新的文献求助10
2分钟前
灵巧飞机完成签到,获得积分20
2分钟前
2分钟前
顾难摧发布了新的文献求助10
2分钟前
2分钟前
2分钟前
顾难摧发布了新的文献求助10
2分钟前
李响发布了新的文献求助10
2分钟前
2分钟前
顾难摧发布了新的文献求助10
2分钟前
2分钟前
研友_VZG7GZ应助李响采纳,获得10
3分钟前
顾难摧发布了新的文献求助10
3分钟前
3分钟前
顾难摧发布了新的文献求助10
3分钟前
3分钟前
顾难摧发布了新的文献求助10
3分钟前
3分钟前
顾难摧发布了新的文献求助10
3分钟前
大熊完成签到 ,获得积分10
3分钟前
3分钟前
顾难摧发布了新的文献求助10
3分钟前
柏风华完成签到,获得积分10
3分钟前
4分钟前
顾难摧发布了新的文献求助10
4分钟前
5分钟前
5分钟前
顾难摧发布了新的文献求助10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6021271
求助须知:如何正确求助?哪些是违规求助? 7629030
关于积分的说明 16166332
捐赠科研通 5169100
什么是DOI,文献DOI怎么找? 2766226
邀请新用户注册赠送积分活动 1748963
关于科研通互助平台的介绍 1636331