Goal Of Smart Cities Research Articles

Transforming Population Administration for Global Smart Cities through Sipraja

This study analyzes the implementation of the SIPRAJA Application Program for population administration services in Bluru Kidul Village. Using a descriptive qualitative approach, data were collected through interviews, observation, and documentation, and analyzed using Miles and Huberman's model. The study, guided by Merille S. Grindle's framework, found that while SIPRAJA aligns with its objectives and provides timely service satisfaction, it faces challenges in socialization and technological readiness. Only 19% of residents use the program, preferring conventional services due to technological limitations and unavailable system features. The findings highlight the need for improved socialization and training to enhance resident participation and system effectiveness, contributing to smart city goals. Highlights: Program Success: SIPRAJA meets objectives, offers timely service satisfaction. Challenges: Socialization and technological readiness limit resident participation. Recommendations: Improve socialization and training for better system adoption. Keywords: SIPRAJA, population administration, Bluru Kidul, qualitative research, public service

Geographic Information System for Spatial Planning in Indonesia and Its Support for Smart City Development

GISTARU (Geographic Information System for Spatial Planning) is a web-based and GIS-based information system in Indonesia that makes it easy for the public to access spatial information. In GISTARU, there are an Online Spatial Plan (RTR Online) and an Interactive Detailed Spatial Plan (RDTR) application. This research aims to; Identify and analyze the use of the Online Spatial Plan (RTR Online) website and Interactive Detailed Spatial Planning (RDTR Interactive) application in GISTARU and as well as identify the requirements for developing the website and application. In addition, the research outcomes are analyzed in terms of their contribution to the development of smart cities. Data was collected through in-depth interviews and website searches related to GISTARU, RTR Online, and RDTR Interactive at the national, provincial, and district or city levels. In-depth interview analysis is carried out through selected cases. The results showed that most regions in Indonesia have an integrated spatial pattern with GISTARU. However, there were inconsistencies in the RTR Online and RDTR Interactive data entry in GISTARU. In the meantime, relatively few spatial structure data are integrated with RTR Online. The Interactive Detailed Spatial Plan application is now operational in the majority of Indonesian provinces. The only province in which all regions have implemented interactive RDTR is DKI Jakarta. This Geographic Information System for Spatial Planning is very useful for achieving the goal of smart cities, particularly related to public services in the smart governance dimension

INTELLIGENT AUTONOMOUS PARKING SYSTEM INTEGRATING RFID AND IoT FOR SMART CITIES

An autonomous parking system is the essential innovation for stress free car parking in smart cities. The efficient use of resources is a key goal of smart cities, and their integration with technology has improved productivity and dependability for urban infrastructure. In this paper, an efficient automated parking system integrating Internet of Things (IoT) and radio frequency identification (RFID) technologies is proposed. The proposed system is integrated with IoT in which the consumers can book the parking spots before arriving to the destination-drastically reducing the time taken by the consumers in searching for the parking slot. The proposed system effectively saves time for the consumers and also significantly provides solutions for all the parking-related issues faced by the management of flats, theaters, malls, hospitals, etc. In management perspective, this system will provide better use of their resources and reduce the amount of labor needed to maintain these parking lots. The automated parking system overcomes the important issue of jamming near the gates of parking spots by improving the check-in and check-out process of vehicles. The RFID tags given to the drivers reduce the time for vehicle identification as it is done automatically. The proposed system avoids long queues at the gates, unnecessary traffic jams near the gates, reduces the waiting time, and ensures security by allowing only the registered users identified through RFID tags. Thus, the proposed system will be a sophisticated system for the consumers, drivers, and a boon to mall owners and management.

Sustainable mobility in smart cities: a document study of mobility initiatives of mid-sized Nordic smart cities

The smart city concept is being viewed as part of the urban future, integrating technological advances, multi-sectorial collaboration, and innovative open markets with strategic goals and ambitions to achieve sustainable urban development. Smart mobility is considered a vital element of the smart city, given that urban transport systems should become more efficient and sustainable. With this in mind, we raise the question: how sustainable is smart mobility? To answer this, we review smart city strategies and measures of fourteen mid-sized cities of the Nordic Smart Cities Network, identifying smart mobility goals together with proposed or implemented mobility measures. We evaluate how they align with sustainable mobility and how effective they are with the help of two analytical frameworks: a) the EU’s Sustainable Urban Mobility Planning (SUMP) objectives and b) the S.M.A.R.T. objectives. In doing so, we assess to which degree smart mobility strategies and measures in Nordic smart cities contribute to sustainable urban mobility and development, and how they contribute to achieving sustainable and smart city goals in terms of feasibility and accountability. The study reveals that measures mainly address the SUMP objectives relating to efficiency and environment, with little focus on inclusive and safe mobility planning that caters to attractive cities and high quality of urban life. Another finding is that smart mobility measures are relatively conventional, and their goals and ambitions are often stated on an abstract level and rarely measurable with specific indicators. Thus, there seems to be a lack of feasibility and accountability related to smart mobility measures, as well as a lack of focus on social sustainability.

A comparative study of low and high resolution infrared cameras for IoT smart city applications

The goal of smart cities is to improve efficiencies, enhance sustainability, advance quality of life and reduce energy consumption. One of the key factors to accomplish a smart city involves the use of IoT and information technology infrastructure which can be described as the foundation of a smart city. Its effective implementation will allow the city to meet its wide range of requirements while being able to respond to innovations, such as advanced sensors, analytic tools, measurement, and artificial intelligent based solutions. This paper investigates and compares between the use of low and high resolution infrared sensors as part of the Internet of Things (IoT) to estimate crowds in cities to enhance and optimise the efficiency of the transportation process and other public services for low density scenarios. A case study was conducted in Nottingham city at one of the tram stops. An experimental methodology is used where different number of people are captured and the results are compared using different image processing techniques. The findings show that both technologies are useful in the estimation of crowd density, however, the high resolution camera has been found to be more accurate in estimating the number of people albeit it is more expensive for the integration into infrastructures. The practical implication is that low-cost and low resolution infrared cameras could provide reasonable results. However, for higher accuracy, high resolution infrared cameras will be needed; and they are potentially more expensive. So a compromise might be needed between cost and performance to encourage the installation of more IoT systems using infrared technologies.

Smart Cities Using Machine Learning and Intelligent Applications

The goal of smart cities is to properly manage to expand urbanization, Reduce energy usage, Enhance the economic and quality of life of the locals while also preserving the environment conditions, and improve people's ability to use and adapt modern technology used in information and communication efficiently (ICT). Information and communication technology (ICT) is central to the concept of smart cities because it facilitates the development of policies, decision-making, implementation, and, eventually, the provision of useful services. This review's main objective is to examine how machine learning, deep reinforcement learning (DRL), and artificial intelligence are advancing smart cities. The previous strategies are effectively utilized to provide the best policies possible for a number of challenging issues relating to smart cities. The uses of the earlier methods are thoroughly discussed in this survey. in intelligent transportation systems (ITSs), Cybersecurity, as well as smart grid energy efficiency (SGs), ensuring the best 5G and beyond 5G (B5G) networking service, as well as a smart city with a smart health system, by effectively using unmanned aerial vehicles (UAVs). Finally, we list a number of the above-mentioned research problems and potential future directions approaches can be extremely helpful in bringing the idea of a smart city to life.

Smart Cities Using Machine Learning and Intelligent Applications (ITALIC)

The goal of smart cities is to properly manage to expand urbanization, Reduce energy usage, Enhance the economic and quality of life of the locals while also preserving the environment conditions, and improve people's ability to use and adapt modern technology used in information and communication efficiently (ICT). Information and communication technology (ICT) is central to the concept of smart cities because it facilitates the development of policies, decision-making, implementation, and, eventually, the provision of useful services. This review's main objective is to examine how machine learning, deep reinforcement learning (DRL), and artificial intelligence are advancing smart cities. The previous strategies are effectively utilized to provide the best policies possible for a number of challenging issues relating to smart cities. The uses of the earlier methods are thoroughly discussed in this survey. in intelligent transportation systems (ITSs), Cybersecurity, as well as smart grid energy efficiency (SGs), ensuring the best 5G and beyond 5G (B5G) networking service, as well as a smart city with a smart health system, by effectively using unmanned aerial vehicles (UAVs). Finally, we list a number of the above-mentioned research problems and potential future directions approaches can be extremely helpful in bringing the idea of a smart city to life.

A neuro evolutionary scheme for improved IoT energy efficiency in smart cities

With the emergence of Internet of Things (IoT) and allied applications for smart cities, sustainability goals have seen a prominent emphasis. This paper focuses on the energy efficiency aspect of such sustainable smart city goals. Although energy efficiency has been studied at different levels of a smart city’s Information and Communication Technology (ICT) infrastructure, this paper specially focuses on device level energy minimization strategy by means of modelling the energy consumption while accounting for the Clusterheads (CluH) and duty cycling and thereby using evolutionary algorithms. In this paper, a Genetic Algorithm (GA) and a hybrid Artificial Neural Network based Particle Swarm Optimization (PSO), namely Feed Forward Neural Network based PSO(FFNN-PSO) has been used to solve the energy minimization problem. Simulation experiments carried out for different scenarios with varying configuration demonstrate the efficacy of the hybrid neuro evolutionary scheme.

Analisis Kesiapan Masyarakat Terhadap Implementasi Program Smart City Kota Kupang

The city of Kupang as one of the cities in the province of East Nusa Tenggara (NTT) takes part in the smart city program by building a regional smart city. The main goal of Smart City in Kupang city is to improve people's welfare, including development, infrastructure, service management and the public environment. This research was conducted using a survey technique to the people of Kupang city with the research method being quantitative and using purposive sampling method. The results of the measurement of Kupang City Community Readiness for the Smart City program, it was concluded that the Kupang City community was READY based on the measurement results through the indicators of Awareness, Governance, Business resources, Human resources, Technology resources, Adoption.

SUSTAINABLE DEVELOPMENT IN TOURISM DESTINATIONS THROUGH SMART CITIES: A CASE OF URBAN PLANNING IN JAMMU CITY

With the rapid growth of technology, the world is witnessing a change from sustainability valuation towards smart city goals in the 21st century. Cities can play an imperative role in combating and countering climate change by using novel smart technologies which would help in reducing emission of greenhouse gases and will further enhance the energy proficiency of the cities. The current study aims to understand the perception of the local residents of a tourism destination, Jammu in India, towards the effect of dimensions of the smart city on sustainable development. The hypotheses proposed in the study were validated by utilizing the SEM (Structural Equation Modeling), with the assistance of Partial Least Squares (PLS). The study found that all three dimensions (namely, smart economy, smart environment, and smart society) are significant predictors of sustainable development. The findings resulted from the data collected with the help of a questionnaire from the local residents of Jammu city which is being developed as a smart city by the government of India.

Flexibility to switch project size: A real option application for photovoltaic investment valuation

Solar energy projects contribute to smart city goals by reducing pollution and assisting cities to become self-sustaining. However, these projects, characterised by their sequential nature, require a huge amount of irreversible investment, especially in the case of large-scale photovoltaic projects (MW). This aspect could make solar projects unattractive for potential investors. To mitigate the risks of financial losses the investor could invest in small-scale solar projects and switch to large-scale investment projects only if the market conditions are favourable. This paper aims to embed this managerial flexibility of changing investment size during the project lifetime into its valuation. To accomplish this, we use a compound options approach with a switch and call options models to reliably price these projects by considering their riskiness and, their stochastic and multi-stage nature. We also consider the determination of the optimal investment time like an American option. We also propose a case study that shows that considering the managerial flexibility value in the project valuation makes them attractive and financially profitable.

An Options Game approach to valuate broadband projects in a smart city context

Broadband projects nowadays represent a valid investment alternative to pursuing smart city goals, particularly considering the rapid development that has affected the telecommunications industry. However, for potential investors, the valuation of these projects is a demanding activity because they are characterized by the uncertainty of future user demands, the competition risk, and the sequential nature of investment. In this paper we propose an innovative methodology to valuate the broadband projects taking into account these three peculiarities. This model consists of combining the compound real options approach (ROA), able to price the sequential uncertain projects, with the Options Game (OG) approach used in the literature to valuate uncertain investments affected by competition risk. This paper contributes to the existing literature by expanding the OG model to fit the broadband characteristics in discrete time. We also propose a case study to implement the theoretical approach. Results show that, despite their uncertain nature and competition risks, broadband investments represent a profitable investment alternative when pursuing smart city goals.

AUDIT KOMUNIKASI PENERAPAN KONSEP SMART CITY MELALUI PROGRAM SMART GOVERNANCE DI DISKOMINFO KOTA PADANG

Smart governance is one of the dimensions of a smart city that specializes in governance. Smart governance is part of the Smart City goals related to public services, where public services are the main driver in the implementation of Smart Governance. To improve public services, Diskominfo has programs to support public services. This study aims to see how the communication audit of the Implementation of the Smart Governance Program at Diskominfo Padang City. This research is a qualitative descriptive study. The sampling technique used is purposive sampling technique. Data collection techniques using observation and interviews. The results showed that at the preparation stage, all the preparations made to formulate the program had been carefully prepared through the Smart City Master Plan, at the Implementation stage the program implementation was still not fully implemented. At the stage of implementing the Smart Governance program, Diskominfo did not socialize the program so that this program was not known to the public. Furthermore, at the Impact stage, researchers saw that this program had not been fully implemented by the Padang City Communication and Information Office.Keywords: Smart City, Smart Governance, Communication Audit

Bio-recovery of municipal plastic waste management based on an integrated decision-making framework

Recent years have seen a rapid development in industrialization and urbanization with a huge growth in the population throughout the world. In this regard, an efficient and robust decision-making framework for the concept of a green city and sustainable development goals to manage municipal plastic wastes is still needed. This study models a bio-recovery of municipal different plastic wastes management based on a new integrated Multi-Criterion Decision-Making (MCDM) approach through a case study in Mashahd, Iran. The proposed integrated MCDM framework includes the Shannon Entropy (SE), Ordered Weighted Aggregation (OWA), Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and, ELimination Et Choice Translating REality (ELECTRE) systems in an intelligent way. Through decision-making computations, all criteria are approved after extraction from the literature review by experts with more than 60% agreement percentage. Different scenarios of economic, energy, and environmental crises are created. One finding of this paper is to propose a new entrance in economic competition with plastic biodegradation to present a novel, environmental-friendly product with high-quality and low-cost advantages. Another finding determines that with an application of plastic wastes bio-recovery, citizens' satisfaction from urban management system will be increased from 49% to 64%. Whereas, based on the outcomes of this investigation, the rate of municipal waste industries development, smart city goals’ meeting, and rate of hazardous material emission from municipal solid wastes are increased to 58%, 25%, and 70%, respectively. The declared numerical outcomes illustrate the effectiveness of plastic waste bio-recovery on the smart city concept.

Dubai, the sustainable, smart city

Over the years, Dubai − UAE has achieved undoubtedly fascinating development in city styles and construction. The desert has been transferred to an advanced modern city with the tallest buildings in a considerable time. It has always encouraged achieving healthy and sustainable development in all sectors, explicitly building construction. It has and still working towards maintaining the balance between socio-economic development and environmental protection. It has been announced and put within the national vision that it is of priority for the Government to transform Dubai into a smart city with an eco-friendly economy. This is under the aim to make it the most sustainable city in the world by 2021. The other Emirates are also trying to build their own fully sustainable cities. A sustainable plan is “a building that reduces its environmental impact by decreasing energy and water use and reducing the waste production. Dubai's Green Building Regulations and Specifications encourage all contractors to build toward an eco-friendlier tomorrow, maintaining the future cohorts without negatively impacting the resident's health. It covers a wide range of topics related to green building design, including ecology planning, building vitality, resource efficiency in energy, water, materials, and waste management. Dubai has made the environment a part of its overall strategic plan, including many sub-plans, initiatives, and projects to improve the emirate's environmental conditions and reduce energy use. Dubai's strategic plan to become a green metropolis includes green buildings and green building materials. The difficulties that sustainable urban development presents are considerable. They are working on various techniques to lead today's urbanisation toward sustainability, including urban planning, transportation infrastructure, quality of life, and renewable energy use, to name a few. Green construction and green towns are part of a long-term national drive in the UAE to promote a green economy with the tagline “A green economy for sustainable development”. This paper is highlighting the advanced initiatives, technologies, materials, strategies, difficulties and challenges that Dubai has been through to achieve sustainable smart city goals.

Impact of Parking Maneuvers on the Capacity of the Inlets of Intersections with Traffic Lights for Road Traffic Conditions in Poland

The goal of smart cities and sustainable transport is to ensure the efficient movement of people while minimizing a negative impact on the environment. Many cities around the world conduct a policy aimed at limiting parking spaces; however, the complete elimination of parking spaces in cities currently does not seem possible. Parking vehicles cause disturbances in road traffic by searching for a parking space and performing the parking maneuver. This article analyzes the impact of the parking maneuver on the capacity of the inlets of intersections with traffic lights, and the significance of the time it takes to enter and exit a parking space on road traffic disturbance areas under Polish conditions. The research is carried out in on-street parking, characterized by different positions of the parking space to the road, the different surfaces of parking spaces, and the geometry of the road next to which the parking spaces are located. Differences in the time of entry to and exit from the parking space between the research areas indicate that different characteristics of the parking spaces affect the time of the parking maneuver. Drivers wait for the acceptable distance between vehicles on the road into which the vehicle can exit from the parking space. Drivers exiting from perpendicular parking spaces more often cause traffic disruptions than in the case of parallel parking spaces, due to limited visibility. The occupancy of parking spaces directly next to the analyzed ones also affects the time of entry to and exit from the parking space. However, between the time of entry to or exit from the parking space, and the use of the parking space, there is no relationship. This finding indicates that more factors determine the time of entry to and exit from the parking space. The results presented in the article show the need to conduct further research on the impact of parking maneuvers on the capacity of intersections with traffic lights for road traffic conditions in Poland. The results of the research will allow for the design and construction of an optimal parking infrastructure that will meet the needs of road users, while minimizing the negative impact on road conditions and the natural environment following sustainable development.

Role of Wireless Aided Technologies in the Solid Waste Management: A Comprehensive Review

Currently, a smart city is an emerging field in urban cities to improve the quality of life through information and communication technology (ICT). In general, the traditional solid waste management (SWM) approach taken by municipal authorities for waste collection in urban areas must be enhanced to achieve the green and smart city goals. This article is primarily focused on the progress of ICT technologies in solid waste management. With that aim, a thorough analysis is carried out in the article, and from the analysis, we have identified distinct ICT technologies that have been implemented in SWM. The function, application, and limitations of each technology are presented in the article. From the review, it is concluded that the implementation of the Internet of Things (IoT) plays a significant role in minimizing the negative impact of waste on the environment. It is also identified that selection of the appropriate wireless communication protocol is critical during the implementation of IoT-based system because the sensor node at the bins is battery-powered. In addition, it is analysed that blockchain technology plays an essential role in realizing the waste–money model, as this model includes transactions between users and recyclers. Finally, in this article, we propose that the waste-to-money model, local network and gateway architecture, vision node, and customized prototype improve solid waste management system in terms of communication, energy consumption, and real-time monitoring.

R&D investment decision on smart cities: Energy sustainability and opportunity

Public administrations frequently tend to make communities as much sustainable as possible pursuing smart city goals. Solar energy investments represent a valid opportunity to support smart cities and consequently the sustainable economic development. The valuation of these projects is not a simple task considering their sequential nature and riskiness. This article proposes a compound Real Options Approach (ROA) as a tool for potential investors to make a conscious R&D renewable investment decision on smart cities. In this sense, we fit the compound ROA with the framework of a typical smart city project in solar energy field. We also provide a case study to make a comparison between classical Expected Net Present Value (ENPV) approach and compound ROA. The results show that ENPV underestimates the project value, whereas compound ROA allows to obtain a more attractive valuation of the project by embedding in the analysis the managerial flexibility value.

COVID-19, CITIZEN’S PURCHASING BEHAVIOUR AND SMART CITY GOALS. EVIDENCE FROM BARCELONA

Abstract. Even if we are unable to avoid the advent of harmful viruses from emerging, a Smart City (SC) can be seen as a means to lessen the effects of future pandemics on society. The COVID-19 outbreak has not only had economic consequences, but also social and environmental. This paper investigates how citizens purchasing behaviors have drastically changed because of the pandemic in the region of Barcelona. Amongst the results gathered from an online questionnaire distributed to Barcelona’s citizens, it was interpreted and analyzed to reach the conclusion where COVID-19 is acting as an accelerator for the implementation of more smart city initiatives and therefore, achieve to a certain extent, smart city goals in Barcelona.

Competitiveness, distinctiveness and singularity in urban design: A systematic review and framework for smart cities

Should smart city applications reconsider the principles of placemaking in confronting the resemblance of smart cities? This systematic review seeks to answer this question by offering a framework that elucidates the principles of placemaking in smart cities and the relationship between people and places. The results of reviewing the SciVal and SCImago databases yielded 13 journals related to ‘urban economy’—as a goal of smart cities—and ‘placemaking’—as a target of city singularity. A random selection of 44 articles in these journals was conducted based on the presence of words in titles, abstracts and keywords between 2012 and 2020. Four terms were revealed, namely, competitiveness, distinctiveness, urban forms and everyday lifestyles. The findings compiled 22 principles for creating singularity among smart cities. The three-step framework for creating the singularity of smart cities provides insights into how urban actors and stakeholders in the Global South can change traditional smart cities by aggregating the principles of placemaking (i.e. urban forms and everyday lifestyles) with the principles of the urban economy through urban competitiveness and distinctiveness. The conclusions suggested revisiting factors of ranking smart cities by considering the principles of placemaking, which can enhance the singularity of smart cities.