IET Smart Cities最新文献

The smart city model for operation and governance of modern cities requires huge quantities of data about people and the environment to support related applications, and crowdsourcing is effective for collecting and processing such data. Numerous reviews of the literature on crowdsourcing and smart cities as separate research fields have been published. Research on the intersection of the two is relatively new and lacks a systematic literature review. This study applies bibliometric and scientometric research methods and the research tools to study 367 related publications retrieved from the Web of Science database. Keyword co-occurrence analysis was conducted to find the distribution of publications, research cooperation, and major research areas. Document co-citation analysis was used to examine the domain knowledge structure, and citation burst detection was used to identify trends in research in this topic area. The analysis results clarify the research content and evolutionary context and reveal emerging research trends.

Aquaculture in Taiwan is characterised by high breeding densities of up to five times higher than the normal breeding densities. Pollution in the breeding environment and its adjacent waters have exacerbated the occurrence of disease outbreaks in fish, shrimp and shellfish, which greatly impacted the economy. Therefore, the parameters pertaining to water quality status, especially dissolved oxygen are particularly important. In addition to the rising cost of labour, land, infrastructure and other materials, the capital needed to engage in aquaculture has risen, whereas the profits have decreased. This limits the growth of aquaculture and fisheries. To overcome this problem, it is essential to shift towards efficient and ecologically precise smart aquaculture. The application of industrialised and smart systems in the vertical diffusion and in-depth integration of aquaculture facilitates decision-making, improves the level of intelligence in breeding, and enhance aquaculture's contribution to Taiwan's economy.

Visions of Smart cities claim to offer better liveability and sustainability through information and communication technology. This study promotes the importance of focussing on spatial aspects and affective factors that impact smart urbanism. It seeks better to inform city governance, spatial planning, and policymaking to focus on what Smart does and what it can achieve for cities in terms of performance rather than on using the notion for prestige purposes. Also, the study recognises the importance of establishing a new meaning for urban progress by moving beyond improving the city's basic services to enhance the actual human experience, which is essential for developing authentic smart cities. The topic presents four overlooked areas: the efficiency paradox, the social aspect, connectedness with nature, and utilising untapped resources. The argument does not invite exploring these themes in silos; it collectively examines smart cities in performance, arguing that there is more to the practical life of smart cities than software and hardware inventions. The research uses a case study approach, presenting Milton Keynes as a living example to learn from while engaging with various methods for data collection, including multi-disciplinary semi-structured interviews, field observations, and data mining.

This article explores ways to leverage city data in smart cities and how data virtualisation can help overcome some of the barriers and create new opportunities for data usage. By combining data sources, data virtualisation can help overcome technical and regulatory challenges, and create new value. The topic was approached from three perspectives: the exploitation of city data, the potential for data virtualisation to utilise city data, and the detection of gaps for future use of city data. Finnish cities are interested in utilisation of the rich data they have within the city and new data that is gathered by different actors. However, there is a gap between the potential and the current situation. When city data is generated continuously from different functions, the scattered data storages can be utilised efficiently with data virtualisation. The city itself, commercial operators, governments and individuals all benefit about the deeper understanding of city functions. Sharing data from different systems and sectors creates opportunities for measuring also other but financial benefits. In the case of city bicycles studied in the city of Kuopio, expanded usage of the bicycles was seen as benefiting citizens' wellbeing and health.

Transition to net zero greenhouse gas (GHG) emissions from urban transport requires strategies improving energy efficiency and contributing to energy conservation. Efficiency gains can be achieved via combination of new technologies, such as electrification, connectivity, and automation. Energy conservation focuses on reducing the total miles travelled by private cars. Supporting modal shift to public transport (PT) is the essential element of that strategy. It starts with policy support enabling time and space prioritisation of PT vehicles. Next, the emerging technologies can optimise performance and comfort of PT vehicles by making the best use of the assigned resources. This article shows how these technologies can reduce GHG emissions directly, as well as indirectly by making PT an attractive choice boosting patronage. A case study illustrating the improvement of the environmental performance of full hybrid buses via connectivity and geofencing is given.

The transformation into smart cities is imminent to meet the rising number of urban problems and challenges. Digital technologies offer great potential to develop smart solutions, especially in the areas of public administration, energy, infrastructure and mobility. For the successful diffusion, the acceptance of the individual is a crucial part, which can be addressed by an immersive experience along with the personal collection of insights of the innovation. However, at the same time a paradox arises as many new developments are still in the making and therefore, are not yet available to the public. Immersive virtualisation technologies such as Virtual Reality (VR) offer great potential to solve this problem. In this study, the usability of VR technology to address individual's innovation barriers in general and to explore the use of emerging digital twin cities (DTC) is analysed, as they provide an ideal basis for the customised creation of immersive VR-applications. Although several themes and applications regarding the potential of DTCs have been addressed in literature, their explicit use in the field of acceptance research has not been pursued. Therefore, a new methodology is introduced and first implementations and results are presented and discussed.

This paper investigates moving networks of Unmanned Aerial Vehicles to extend connectivity and guarantee data rates in the 5G by analysing possible hovering locations based on limitations such as flight time and coverage. The authors provide analytic bounds on the requirements in terms of connectivity extension for vehicular networks served by fixed Enhanced Mobile BroadBand infrastructure, where both vehicular networks and infrastructures are modelled using stochastic and fractal geometry as a model for urban environment. The authors prove that assuming n mobile nodes (distributed according to a hyperfractal distribution of dimension d_F) and an average of ρ Next Generation NodeB (gNBs), distributed like a hyperfractal of dimension d_r if ρ = n^θ with θ > d_r/4 and letting n tending to infinity (to reflect megalopolis cities), then the average fraction of mobile nodes not covered by a gNB tends to zero like $��O�\left(n^{�-�\frac{\left(�d_F�-�2�\right)}{d_r}�\left(�2�\theta �-�\frac{d_r}{2}�\right)�}\right)�$. Interestingl

A smart city provides diverse services based on real-time data obtained from different devices deployed in urban areas. These devices are largely battery-powered and widely placed. Therefore, providing continuous energy to these devices and ensuring their efficient sensing and communications are critical for the wide deployment of smart cities. To achieve frequent and effective data exchange, advanced enabling information and communication technology (ICT) infrastructure is in urgent demand. An ideal network in future smart cities should be capable of sensing the physical environment and intelligently mapping the digital world. Therefore, in this paper, we propose design guidelines on how to integrate communications with sensing, computing and/or energy harvesting in the context of smart cities, aiming to offer research insights on developing integrated communications, sensing, computing and energy harvesting (ICSCE) for promoting the development ICT infrastructure in smart cities. To put these four pillars of smart cities together and to take advantage of ever-increasing artificial intelligence (AI) technologies, the authors propose a promising AI-enabled ICSCE architecture by leveraging the digital twin network. The proposed architecture models the physical deep neural network-aided ICSCE system in a virtual space, where offline training is performed by using the collected real-time data from the environment and physical devices.