IET Smart Cities最新文献_第7页

IF 2.3

IET Smart Cities Pub Date : 2025-03-26

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-03-12

引用次数: 0

Policy Assessment of Japan's ‘Decarbonisation-Leading Regions’ 日本“脱碳领先地区”的政策评估

IF 2.3

IET Smart Cities Pub Date : 2025-03-12 DOI: 10.1049/smc2.70002

Yanghui Guo, Andante Hadi Pandyaswargo, Haoxuan Zhang, Hiroshi Onoda

{"title":"Policy Assessment of Japan's ‘Decarbonisation-Leading Regions’","authors":"Yanghui Guo, Andante Hadi Pandyaswargo, Haoxuan Zhang, Hiroshi Onoda","doi":"10.1049/smc2.70002","DOIUrl":"10.1049/smc2.70002","url":null,"abstract":"<p>Japan has set a decarbonisation goal in the <i>Plan for Global Warming Countermeasures,</i> which aims to reduce greenhouse gas emissions by 46% compared with those in 2013 by 2030. To achieve this goal, the Japanese government established a regional decarbonisation roadmap in 2021. In pursuing the roadmap, 74 municipalities were appointed as <i>Japan's decarbonisation-leading regions</i>. In this study, we make the projection to clarify whether the goal will be met by performing the following steps. First, we classified the regions on the basis of their specific energy structure and examined their decarbonisation policies. Next, we performed a cluster analysis of their energy structure and energy-saving methods in the civil sector, residential sector, sectors outside the civil sector and transportation sector. The results of the analysis indicate that in terms of energy-use characteristics, the proportion of the municipalities selected is representative of Japan. However, we find that if the carbon neutrality plans of these regions are implemented and extended nationwide, the 2030 goal will not be met. Moreover, we found that within the civil sector, regions are more inclined to achieve carbon neutrality in business and public facility areas than in residential areas. This study urges Japan to be more aggressive in its global warming mitigation strategies and identifies residential areas as the most promising sector to put more effort into.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Networked disobedience to smart city development: The case of Hong Kong 对智慧城市发展的网络反抗：以香港为例

IF 2.3

IET Smart Cities Pub Date : 2025-02-07 DOI: 10.1049/smc2.12095

Tin-Yuet Ting

{"title":"Networked disobedience to smart city development: The case of Hong Kong","authors":"Tin-Yuet Ting","doi":"10.1049/smc2.12095","DOIUrl":"10.1049/smc2.12095","url":null,"abstract":"<p>When urban landscapes erupt into civil unrests, smart technologies that are intended to help preserve social order may become prime sites of contention. Integrating critical data studies and research on networked social movements, this article examines the underexplored contours of networked disobedience to smart city development – that is, direct action by self-mobilised and self-organised digitally connected citizens and activists to subvert or disrupt the dominant structure of the datafied smart city – during a large-scale protest movement. The case of Hong Kong's smart lampposts is analysed to explicate a distinct technopolitical contention that emerged in the digital age, focusing on three key aspects: (1) citizens' digital curation of folk theories, which perpetuated a consensus of discontent over the installation of smart city technology, (2) the articulation of a digitised network of counter-power that provided a mediation opportunity structure for mobilisation and intervention, and (3) the crowdsourcing of disobedient practices of data activism aimed at sabotaging or evading the smart city technology. The article illustrates how seemingly ordinary issues of urban datafication can be repurposed to (re)produce political contention and the ways in which controversies over smart city development may fuel adversarial citizen–state engagement with repercussions for data-driven urban governance.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.12095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143362695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-02-07

引用次数: 0

IF 2.3

IET Smart Cities Pub Date : 2025-02-01

引用次数: 0

Assessing urban security and safety smartness: A systematic review of key performance indicators 评估城市安全和安全智慧：关键绩效指标的系统审查

IF 2.3

IET Smart Cities Pub Date : 2025-02-01 DOI: 10.1049/smc2.70000

Francisco J. Gallardo-Amores, Cristina Del-Real, Antonio M. Díaz-Fernández

{"title":"Assessing urban security and safety smartness: A systematic review of key performance indicators","authors":"Francisco J. Gallardo-Amores, Cristina Del-Real, Antonio M. Díaz-Fernández","doi":"10.1049/smc2.70000","DOIUrl":"10.1049/smc2.70000","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>The smart city framework has become a key approach to addressing urbanisation challenges over the last 2 decades. While KPIs have been developed for various smart city dimensions, security and safety remain underexplored. This paper addresses this gap through a systematic review of KPIs. The study examines how urban security and safety smartness is assessed, focusing on three questions: (RQ1) What indicators measure urban security and safety smartness? (RQ2) In which smart city dimensions are these KPIs located? (RQ3) How are these KPIs defined and quantified? Using PRISMA guidelines, databases including Web of Science, Scopus, and IEEE Xplore were searched, yielding 2369 sources. After screening, 38 studies were analysed. A total of 182 unique KPIs were identified and categorised into crime prevention and control (53), perceptions of safety (11), emergency and disaster management (50), and cybersecurity (68). Most KPIs focus on city outcomes, with fewer addressing smart technology functionalities. Definitions and measurement approaches lack consensus. This review identifies gaps in defining and measuring smart urban security and safety. Standardising KPIs and incorporating technology-specific metrics are key directions for future research.</p>\u0000 </section>\u0000 </div>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities 智能城市中大规模远程广域网部署的自动配置策略

IF 2.3

IET Smart Cities Pub Date : 2025-01-24 DOI: 10.1049/smc2.12096

Vicente Torres-Sanz, Julio A. Sanguesa, Francisco J. Martinez, Piedad Garrido, Carlos T. Calafate

{"title":"An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities","authors":"Vicente Torres-Sanz, Julio A. Sanguesa, Francisco J. Martinez, Piedad Garrido, Carlos T. Calafate","doi":"10.1049/smc2.12096","DOIUrl":"10.1049/smc2.12096","url":null,"abstract":"<p>LoRa has proven to be an ideal solution for Internet of Things networks and applications that require long-distance communications, such as those related to smart cities or precision agriculture. Its low cost combined with the wide availability of LoRa-compatible devices make it possible to easily deploy a large number of sensors capable of collecting and transmitting key information for new services and applications. However, the process of adding new devices into a Long Range Wide Area Network (LoRaWAN) network represents a significant challenge on a large scale, as each device must be individually configured and manually registered to join the network. This manual approach is costly and impractical when it comes to deploying a very large number of devices. To address this problem, this paper proposes two deployment strategies (semi-automatic and automatic) to simplify and streamline the process of activating and registering LoRaWAN devices. These strategies facilitate the deployment of large-scale devices in smart cities, and their adoption can significantly enhance the deployment of LoRaWAN devices. Experimental results clearly demonstrate the benefits of our solution. Specifically, for 500 devices, the semi-automatic deployment is 3.75 times more efficient, and the automatic deployment is an impressive 394.87 times faster than the manual deployment.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"7 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.12096","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143118641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to “[Securing smart cities through machine learning: A honeypot-driven approach to attack detection in Internet of Things ecosystems]” 更正“[通过机器学习保护智慧城市：一种蜜罐驱动的物联网生态系统攻击检测方法]”

IF 2.3

IET Smart Cities Pub Date : 2024-11-14 DOI: 10.1049/smc2.12094

引用次数: 0

Predicting the impact of public events and mobility in Smart Cities 预测智慧城市中公共事件和移动性的影响

IF 2.3

IET Smart Cities Pub Date : 2024-11-03 DOI: 10.1049/smc2.12087

Elena Bellodi, Riccardo Zese, Carlo Petrovich, Angelo Frascella, Francesco Bertasi

{"title":"Predicting the impact of public events and mobility in Smart Cities","authors":"Elena Bellodi, Riccardo Zese, Carlo Petrovich, Angelo Frascella, Francesco Bertasi","doi":"10.1049/smc2.12087","DOIUrl":"10.1049/smc2.12087","url":null,"abstract":"<p>The ubiquitous presence of smartphones and the ever-expanding Internet of Things are generating a treasure trove of data on human movement. We harness the power of Artificial Intelligence to extract knowledge within this data, in particular for predicting people flows and density in a Smart City. This predictive ability holds immense potential for a multitude of applications, from optimising people flow to streamlining event planning, while offering a powerful tool for pre-emptive identification of situations that may lead to crowd disasters. In this paper, we tackle two crucial aspects of people mobility using data from public events and an Italian mobile phone network: to predict both event attendance and future crowd density in specific areas. The event details (location, time etc.) are automatically gathered and stored in a structured format. Next, we handle these problems are treated in a “supervised learning” setting, and various state-of-art Machine Learning techniques are tested to find the best model for each task. The obtained models will be encapsulated into a Policy Support System contributing to foster planning actions of mobility services.</p>","PeriodicalId":34740,"journal":{"name":"IET Smart Cities","volume":"6 4","pages":"253-275"},"PeriodicalIF":2.3,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smc2.12087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143186324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0