scholarly journals Smart City Decision Making System Based on Event-driven Platform

2021 ◽  
Vol 12 (1) ◽  
pp. 99-110
Author(s):  
Andrej Saric ◽  
Ivona Zakarija ◽  
Vedran Batos ◽  
Srecko Krile

Abstract With the occurrence of rapid urbanization and intensive growth of different modes of transport, we face issues such as resource management, energy demand and lack of capacity due to overcrowding. To help with these issues we leverage technology and the Internet of Things (IoT) to develop smart cities. In this paper, we propose an innovative approach to development of new smart city event-driven platform with which we want to simplify data input, data transformation, and decision making processes. The platform uses events, labels and reliability factor to make decisions and trigger actions. This paper begins with an overview of the smart city framework and we review the characteristics of event-driven models. The event-driven platform is presented and discussed. The paper closes with our findings, suggestions, open issues, and future research possibilities.

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2668
Author(s):  
Mohamed Hanine ◽  
Omar Boutkhoum ◽  
Fatima El Barakaz ◽  
Mohamed Lachgar ◽  
Noureddine Assad ◽  
...  

Rapid urbanization to meet the needs of the growing population has led to several challenges such as pollution, increased and congested traffic, poor sustainability, and impact on the ecological environment. The conception of smart cities comprising intelligent convergence systems has been regarded as a potential solution to overcome these problems. Based on the information, communications, and technology (ICT), the idea of a smart city has emerged to decrease the impact of rapid urbanization. In this context, important efforts have been made for making cities smarter and more sustainable. However, the challenges associated with the implementation and evaluation of smart cities in developing countries are not examined appropriately, particularly in the Moroccan context. To analyze the efficacy and success of such efforts, the evaluation and comparisons using common frameworks are significantly important. For this purpose, the present research aims to investigate and evaluate the most influential dimensions and criteria for smart city development (SCD) in the Moroccan context. To reach this goal, this study proposes a new integrated Multi-Criteria Decision-Making (MCDM) model based on Intuitionistic Fuzzy Analytical Hierarchy Process (IF-AHP) and Intuitionistic Fuzzy Decision-Making Trial and Evaluation Laboratory (IF-DEMATEL). In the given context, the IF-AHP is employed to analyze the structure of the problem and calculate the weights of the qualitative and quantitative dimensions/criteria by incorporating the uncertainty values provided by the experts. Later, IF-DEMATEL is used to construct the structural correlation of dimensions/criteria in MCDM. The use of intuitionistic fuzzy set theory helps in dealing with the linguistic imprecision and the ambiguity of experts’ judgment. Results reveal that ‘Smart Living and Governance’ and ‘Smart Economy’ are major dimensions impacting the SCD in the Moroccan context. The proposed model focuses on enhancing the understanding of different dimensions/criteria and situations in smart cities compared to traditional cities and elevates their decision-making capability. Moreover, the results are discussed, as are the managerial implications, conclusions, limitations, and potential opportunities.


Author(s):  
Leonidas Anthopoulos ◽  
Panos Fitsilis ◽  
Christos Ziozias

Smart cities have attracted an increasing international scientific and business attention and an enormous niche market is being evolved, which engages almost all the business sectors. Being engaged in the smart city market is not free-of-charge and corresponding investments are extensive, while they usually concern innovation development and always demand careful planning. However, until today it is not clear how the smart city creates value to its stakeholders or simply how profit is being created. To this end, this paper performs an investigation on the smart city business models and utilizes decision making process with the contribution of smart city experts in order to conclude on the most appropriate one. This paper's findings demonstrate that business models that are followed in practice by smart cities are different to the ones suggested in literature. Moreover, the decision making processes that were followed showed that the optimal choice is the ownership business model group and from its contents preferred the Open Business Model (OBM), with the Municipal-Owned-Development (MOD) as an alternative option.


2016 ◽  
Vol 12 (2) ◽  
pp. 56-76 ◽  
Author(s):  
Leonidas Anthopoulos ◽  
Panos Fitsilis ◽  
Christos Ziozias

Smart cities have attracted an increasing international scientific and business attention and an enormous niche market is being evolved, which engages almost all the business sectors. Being engaged in the smart city market is not free-of-charge and corresponding investments are extensive, while they usually concern innovation development and always demand careful planning. However, until today it is not clear how the smart city creates value to its stakeholders or simply how profit is being created. To this end, this paper performs an investigation on the smart city business models and utilizes decision making process with the contribution of smart city experts in order to conclude on the most appropriate one. This paper's findings demonstrate that business models that are followed in practice by smart cities are different to the ones suggested in literature. Moreover, the decision making processes that were followed showed that the optimal choice is the ownership business model group and from its contents preferred the Open Business Model (OBM), with the Municipal-Owned-Development (MOD) as an alternative option.


Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 274
Author(s):  
Sławomira Hajduk

The effects of urban transport are highly concerning. The rapid urbanization and motorization in smart cities have a huge impact on sustainability. The goal of the paper is to analyse the smart cities selected, in terms of the urban transport. This paper presents an overview of research works published between 1991 and 2020 concerning urban transport and MCDM (multi-criteria decision making). The author highlights the importance of decision-making criteria and their weight, as well as techniques. Seven criteria and forty-four objects were used as the input of the approach. The entropy weight method was used to compute the weight of each criterion. The TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was applied to calculate the assessment and ranking of transport performance for each smart city. Portland was found to be the best location for transport enterprises and projects; Tbilisi was ranked last. The values of the relative closeness coefficient ranged from 0.03504 to 0.921402. Finally, some suggestions for future research are discussed.


2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.


2016 ◽  
Vol 12 (2) ◽  
pp. 77-93 ◽  
Author(s):  
Leonidas Anthopoulos ◽  
Marijn Janssen ◽  
Vishanth Weerakkody

Smart cities have attracted an extensive and emerging interest from both science and industry with an increasing number of international examples emerging from all over the world. However, despite the significant role that smart cities can play to deal with recent urban challenges, the concept has been being criticized for not being able to realize its potential and for being a vendor hype. This paper reviews different conceptualization, benchmarks and evaluations of the smart city concept. Eight different classes of smart city conceptualization models have been discovered, which structure the unified conceptualization model and concern smart city facilities (i.e., energy, water, IoT etc.), services (i.e., health, education etc.), governance, planning and management, architecture, data and people. Benchmarking though is still ambiguous and different perspectives are followed by the researchers that measure -and recently monitor- various factors, which somehow exceed typical technological or urban characteristics. This can be attributed to the broadness of the smart city concept. This paper sheds light to parameters that can be measured and controlled in an attempt to improve smart city potential and leaves space for corresponding future research. More specifically, smart city progress, local capacity, vulnerabilities for resilience and policy impact are only some of the variants that scholars pay attention to measure and control.


2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>


Author(s):  
Özcan Sezer ◽  
Mehmet Avcı

Cities are futures' crucial elements, playing an important role in economics, social and environmental. As closer to individuals, cities face some challenges in terms of problems caused through the rapid urbanization process. Hence, governments and public agencies at all levels should use smart techniques including technology for sustainable development, better quality of life for citizens, and finally, an efficient use of scarce public resources. In this sense, Turkey plans to apply a smart city concept in Turkish cities as worldwide and published 2020-2023 National Smart Cities Strategy and Action Plan document with four strategic goals, nine targets, and 40 actions. This chapter aims to reveal the institutional, fiscal, and social challenges on smart governance, which is the most important dimension of smart city, for Turkey. In this respect, there are some challenges on smart governance in Turkey in terms of legislation, institutional, transparency and accountability, participation, e-democracy, and citizens.


2020 ◽  
Vol 12 (6) ◽  
pp. 2291
Author(s):  
Yuhui Guo ◽  
Zhiwei Tang ◽  
Jie Guo

More countries and regions are joining the bandwagon of smart city construction, which is an important strategy and innovative urban governance concept to solve the problem of rapid urbanization. This paper examines whether smart city innovation is able to ameliorate the traffic congestion faced by a large number of cities. Using panel data for 187 prefecture-level cities in China from 2008 to 2017, this paper tests the effect of implementation of a smart city on urban traffic congestion with the difference-in-difference method. The results show that, firstly, the construction of smart cities have significantly reduced the degree of urban traffic congestion and improved the quality and capacity of public transport. Secondly, information technology and urban innovation are the main mechanisms for smart city implementation to improve urban traffic problems. Thirdly, the improvement effect of smart city implementation on traffic management shows an increasing marginal effect over time. By overcoming the estimation bias in previous studies, this study accurately analyzes the positive role and dynamic effect of smart city construction on traffic improvement. It augments the literature of program evaluation and assessment of smart city implementation. By examining how to improve traffic congestion, it offers some insights that could inspire governments to build smarter cities with better traffic.


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