City Concept Research Articles

Ontology-Based Deep Learning Model for Object Detection and Image Classification in Smart City Concepts

Ontology-Based Deep Learning Model for Object Detection and Image Classification in Smart City Concepts

Identification of composite ecological corridors and spatial planning guidance in built-up areas under the concept of park city: Taking Shenyang City Center as an example.

The concept of park city provides a new model for the integrated utilization of multiple elements in built-up areas. Ecological corridors, as key components of urban ecosystem, play a major role in facilitating information flow and material exchange between various ecological spaces within built-up area. We identified ecological (mixed) spaces in Shenyang using points of interest data on the ArcGIS 10.2 platform and considered them as sources. Using the least-cost model and gravity model, we identified potential ecological corridors with high, medium, and low resistance on the resistance surface, and proposed the spatial planning guidance strategy based on the distribution characteristics of potential corridors. The results showed that the number of ecological (mixed) spaces in the study area significantly increased during 2017-2022. The ecological resistance surface showed an outward expansion trend with continuous accumulation of resistance in the core area. There was an increase of one high-resistance and one medium-resistance potential corridor, and an increase of nine low-resistance potential corridors. However, there were problems, such as a single corridor network structure, the exacerbation of ecological isolation, and continuous accumulation of resistance. Based on the concept of park city and the spatial distribution characteristics of potential corridors, we put forward a spatial planning guidance strategy to strengthen the support system of composite space corridors.

Integrative Concept of the Low-Carbon Cities with the Maqasid Syariah: A Comprehensive Review

Integrative Concept of the Low-Carbon Cities with the Maqasid Syariah: A Comprehensive Review

Urban Landscape Management of Makassar City Based on Waterfront City Concept

Abstract Makassar City is one of the coastal cities in Indonesia with a 32 km long coastline. This extensive coastal stretch harbors numerous potential natural resources. Recognizing the coastal region’s potential, the government has been implementing the Waterfront City concept to develop and manage this area. Since 2003, the Makassar City government has actively undertaken revitalization and reclamation efforts in the coastal zone, aiming to establish various facilities including commercial areas, public parks, residential zones, and tourism infrastructure, all with the aim of achieving the status of a waterfront city. However, these ongoing development and reclamation activities are inevitably transforming the coastal landscape, bringing about both positive and negative changes. On the downside, there are adverse effects such as deteriorating water quality and diminishing mangrove areas. Conversely, there has been an increase in tourist arrivals, showcasing a positive aspect. This study aims to assess the suitability of land in the coastal areas and the visual appeal of Makassar City’s waterfront, providing recommendations for coastal landscape management. Based on the analysis of land suitability and the aesthetics of the coastal area of Makassar City, the urban areas generally possess land suitable for implementing the waterfront city concept, categorized into three zones: tourism, residential, and conservation, to optimize land functionality. Besides the quality of the beautiful coast has a fairly good value with a neat and clean conditions.

Evaluation of the implementation and development of green city concept in South Tangerang City

Abstract As the result from Tangerang Regency’s expansion, South Tangerang stands as one of the youngest cities in Indonesia. The strategic position located near Jakarta makes the suburban city a desirable choice for residence. Therefore, the green city concept exists to standardize sustainable efforts made to balance a city’s environment condition and the population’s life quality. This study aims to evaluate the availability of green open spaces using remote sensing and the implementation of the green city concept in South Tangerang City by utilizing the Asian Green City Index to assess its development and growth in 2010, 2015, and 2020. In 2010, the green open space area reached 3.518 ha (21,34%), then in 2015 ascended to 4.017 ha (24,37%), and eventually able to reach the criteria in 2020 with an area of 7.325 ha (44,43%). Aligning with the green open space’s availability’s escalation trend, the green city concept implementation evaluation also showcases the same growth. In 2010, the implementation performance is considered below average with an AGCI score of 25,61%. Afterwards, in 2015 and 2020, the performance score experiences an incline to the average category with AGCI scores of 44,93% and 59,75% respectively.

Supply chain and logistics in smart cities: A systematic literature review

Rapid urban expansion gives rise to smart cities which pose immense logistical and supply chain challenges. The COVID-19 pandemic transformed the holistic system identified by Zhao et al. in 2021. The system encompasses logistics and supply chain integral to the concept of smart cities, with a focus on sustainability. This transformation requires an in-depth study on challenges of a common framework of policies for smart cities in countries comprising the Organisation for Economic Cooperation and Development (OECD). The study employs an extensive literature analysis for the period 2020–2022. an approach which contextualizes the model. The model identifies the causes, impact, and spillovers of new trends in logistics and supply, including the sustainability of adopted technologies. The study includes the variables involved, and barriers to creating a shared model. The results reveal that the two elements affecting the supply chain and transport in smart cities are Industry 4.0 and 5.0 technologies supporting specific sectors. The resilience of small and medium-sized enterprises positively impacts the sustainability of large urban centres. The study presents both factors that help and hinder the adoption of environmental, social, and economic sustainability technologies.

Natural environments of the city for sport activity: Case study of Malaga (Spain)

Previous studies support the direct relationship between outdoor physical activity and natural spaces in cities. The Active City and Nature concept explores the relationship between urban, green and active environments; it aims to demonstrate the scientific evidence for the need for action to be taken to increase participation in active living and sport, leading to healthier cities and communities. Our research seeks to analyse the city’s natural spaces as scenarios to encourage physical activity and sport, through a combined study of qualitative research techniques: the use of a digital webGIS platform, collaborative maps made by citizens, and surveys conducted with citizens and the local government. This methodology has been tested in the city of Malaga, the European City of Sport 2020. The study of the city’s main sport areas, the waterfront and natural green spaces provided data on the types of physical activity taking place in each of these areas and the physical activity needs of citizens. This research argues that it is important to know the criteria of local communities for physical activity and/or sport in natural environments, as well as the main demands expressed. This will provide valuable information to design and manage natural public spaces as a means of promoting physical activity and healthy habits.

Transforming the Salitre campus into a smart campus: proposal of smart initiatives for the Gerardo Barrios University of El Salvador

This study proposes a set of initiatives to transform the Salitre campus of the Gerardo Barrios University in San Miguel, El Salvador, into a Smart Campus inspired by Smart City concepts. Through a documentary research, a detailed diagnosis of the campus and a SWOT analysis, several proposals were defined grouped in six axes: Smart Government, Smart Environment, Smart Living, Smart Economy, Smart People and Smart Mobility. The viability of the initiatives was evaluated considering their acceptance by the authorities and stakeholders, as well as a feasibility study. The results show that the transformation of the Salitre campus into a Smart Campus may be possible and would bring multiple benefits in terms of efficiency, sustainability, innovation and quality of life for the university community. The study establishes the basis for future projects and research, promoting digital and sustainable transformation in the educational and community environment of El Salvador.

15-minute cities, ‘walkability’ and last millimeter problems

The 15-minute city concept is about planning and building cities so that most essential activities can be accessed within 15-minutes of a residence on foot or by bicycle. The possibilities and limitations of the concept for disabled persons have yet to be fully considered. Here I centre disability in a hopeful critique of concepts central to 15-minute city implementation. I argue that greater attention should be given to what I call last millimeter problems, barriers within small spaces (e.g. subway platform gaps) disabled persons face in transportation systems and the built environment that can make any city, including a 15-minute city, an impassable city.

How to Make Future Cities Smart in the Realm of Environmentally Friendly Healthy Cities? Looking from the Perspective of Ease of Living Index

Rapid urbanization and environmental issues have led the Government of India to implement urban development initiatives like Heritage City Development and Augmentation Yojana, Atal Mission for Rejuvenation and Urban Transformation, Smart Cities Mission, Deen Dayal Antyodaya Yojana-National Urban Livelihood Mission, and Swachh Bharat Mission-Urban to improve citizens' quality of life. The Ease of Living Index (EOL), developed to assess the outcomes of these initiatives, is a data-driven assessment tool aligned with the Sustainable Development Goals that enables cities to adopt evidence-based planning and execution. It assesses the well-being of citizens in 111 cities, including cities under the Smart Cities Mission, capital cities, and cities with populations over one million. The concept of healthy cities gained popularity in the South-east Asian Region of the World Health Organization, with the Healthy City Network Assessment Tool being introduced in 2021 to help cities assess their health profile in its eleven member countries, including India. In view of NITI Aayog's 2021 recommendation for the development of 500 healthy cities by 2030, there is a need to expand the scope of the existing EOL Index (2020). This research aims to integrate the healthy city evaluation criteria from WHO's South-east Asia Regional Guidelines with the EOL Index 2020 to develop an integrated tool for data-driven assessment of India's proposed healthy cities program. The study based on literature review and comparative analysis identifies 8 determinants, 28 sub-determinants and 112 indicators, enhancing the comprehensiveness of the EOL Index to promote smart, environmentally friendly, healthy, and sustainable urban development.

Construction and Development of Smart Cities -- Taking Chengdu as an Example

As an important way to promote urban economic and cultural development, the smart city is an inevitable choice for future urban development. This paper first expounds on the concept and proposal of a smart city, discusses the background of the development of smart cities in China, and then introduces the current development of a smart city in Chengdu, a pilot city, and establishes a complete intelligent system to promote the operation of the city and improve people's living efficiency. Then, according to the design concept of green building, the common ground between green building and smart city development is analyzed. Taking epidemic prevention as the entry point, how to develop and play its role is discussed. The problems such as information "isolated island" and incomplete technology deployment are analyzed. Finally, some suggestions are put forward for related issues, and a bright prospect is given for the future blossoming and unlimited potential of smart cities.

Trust Based Active Game Data Collection Scheme in Smart Cities

The concept of a smart city is to equip sensors to various objects in urban life to monitor areas and collect sensing data, and make wise decisions based on the collected data. However, some malicious sensor devices may interrupt and interfere with data collection, leading to a reduction in the integrity and availability of information, thereby causing harm to Internet of Things(IoT) applications. Therefore, identifying the credibility of sensor nodes to ensure the credibility of data collection is a challenge. This paper proposes a trust based active game data collection (TAGDC) scheme to collect trust data in the IoT. This TAGDC scheme mainly includes the following parts: 1)An active trust framework plus evolutionary game theory is proposed to encourage high-energy sensors to send detection routes and quickly obtain sensor trust. 2)In order to balance the data security requirements of subnetworks, the number and frequency of detection routes required by subnetworks are estimated through mechanism modeling and fuzzy analytic hierarchy process. 3)The design focuses on the internal trust computing model in the region to evaluate the trust of nodes. The findings of the experiment demonstrate that the TAGDC scheme, as described in this research study, enhances the accuracy of identifying malicious nodes by 20%, reduces the required identification time by 40%, and improves the data collection success rate by 5%.

Modeling of Passenger Flows Analysis System of Low-carbon Transportation in a Smart City

The paper examines the impact of the increase in passenger traffic in public transport on environmental pollution, as well as the search for ways to reduce emissions of carbon-containing compounds caused by the growth of the planet’s population, the number of vehicles that transport them, and the amount of emissions that these vehicles generate. The object of research is the system of passenger transportation in a smart city. Through correlation-regression analysis of passenger flows in a regional city with a population of fewer than 1 million registered residents, the paper identifies a functional dependence between the volume of passenger transportation by public transport and the volume of carbon dioxide emissions into the atmospheric air from mobile sources of pollution, which include all types of automobile and electric transport. It was established that the optimization of the public transport network plays a decisive role in the implementation of low-carbon transportation. Conceptual provisions for the creation of an intelligent system for the organization of low-carbon passenger transportation in a smart city were proposed, which were displayed using activity, state, and deployment diagrams. The optimization of the routes of the public transport system is proposed to be implemented through the concept of adding a new passenger, supplementing the route, and adapting public transport networks to the needs of consumers and the demand for transport to achieve the goals of the concept of a smart city - reducing carbon dioxide emissions into the atmosphere. The scientific novelty of the proposed intelligent system concept consists of the use of an integrated approach to the optimization of vehicle routes in a smart city to reduce carbon dioxide emissions into the atmosphere.

Big Data Technology Usage in Electric Transportation Industry

In the context of critical challenges related to global warming and the necessity of reducing carbon footprint, the electric car sector is experiencing significant growth. This progress inevitably leads to the need for expansion and modernization of the charging station infrastructure. This article conducts a detailed analysis of how big data processing technologies can contribute to the optimization of this infrastructure’s use, the efficiency of charging stations, and the development of personalized services for electric vehicle users. Strategies for solving current problems, particularly in the areas of data security and standardization, are discussed, along with the impact of big data on the formation of new commercial models in the electric transport sector. Special attention is given to the analysis of existing scientific works and publications, which reveal a noticeable deficit of research focused on adapting big data technologies to specific regional conditions and analyzing the behavioral models of electric vehicle consumers. The article identifies key directions for future research aimed at exploring the potential of big data for the intelligent optimization of electric vehicle transport, particularly in areas such as demand forecasting, effective management of charging stations, development of new user services, and integration with broader urban transport management systems. Additionally, the article highlights challenges related to ensuring the confidentiality and security of collected data, the need to integrate diverse data and systems, and the current demand for qualified professionals in the field of big data analysis. The final section of the article focuses on the prospects of using big data in electric transport, their potential contribution to the development of smart city concepts, infrastructure improvement, and enhancing the quality of services for end consumers. Recommendations are provided for key stakeholders in the industry, with the aim of facilitating the adoption of strategic decisions that would take into account future opportunities and challenges. An analytical review of current literature sources and online publications is included, emphasizing the innovative nature of the research conducted.

Cities facing the European green deal: Urban policy and locals’ perspective in the post-socialist area

The European Green Deal (EGD) is a comprehensive and ambitious strategy to achieve climate neutrality in the European Union. Cities play a crucial role as places of accumulation of resources, as well as increased consumption. This study attempts to respond to whether the largest cities in Poland (the main development cores of the country and, more broadly, Central Europe) address the development challenges of the EU articulated in the EGD and derived from the concept of a smart city.In this study, not only the theory behind the smart city concept but also the strategic documents of the largest Polish cities in that matter are analysed. The socio-spatial analyses identified the existing discrepancies between the perspectives of local authorities and inhabitants in implementing contemporary development concepts. There were indicated SHS (smart hot spots) - which are those located in the city centre and places that act as mobility hubs, as well as SCS (smart cold spots) - which are remote from the centre or degraded and decapitalised places. The crucial challenge for urban policymakers is to level internal environmental and socio-economic inequalities and prevent the formation of “emerald islands” in the city interior.The proposed inclusive approach offers a tool that could be used in many similar case studies, including the need for dialogue with local society, the special consideration of the local context, heterogeneity and greater attention to the new sources of knowledge, including GIS tools, enabling the building of a viable local system.

Analysis of passenger transportation and the public transportation impact on the reduction in a smart city

The state of atmospheric pollution is determined by the growth of the population, the amount of transport and the generated volumes of emissions. The object is the process of analyzing passenger transportation in the city. The subject is passenger transport analysis methods. Purpose: analysis of passenger transportation and approaches to optimization of public transport based on the concept of a smart city. Tasks: analysis of passenger transportation, classification of existing conceptual approaches to optimization of public transport with low carbon emissions, systematization of existing methods, means and types of neural networks in smart cities, analysis of successful implementation projects. Methods of statistical analysis, linear and non-linear interpolation, logical generalization, comparison, grouping, analysis and synthesis. Results: the analysis of passenger transportation in the city revealed that statistical data sets indicate a decrease in the main indicators of passenger traffic and an increase in the volume of emissions of carbon-containing compounds. The classification of existing approaches to the optimization of public transport is carried out according to the priority of public transport, hybridization and electrification of vehicles and the implementation of IT monitoring. During the systematization of methods and means in smart cities, the following are highlighted: smart transport systems; electric vehicles; transport sharing networks; smart applications and information systems; innovative payment systems; unmanned vehicles; information boards and announcement systems; networks of bicycle paths and equipped sidewalks; environmental monitoring systems. Among neural networks, recurrent, convolutional, and deep neural networks have been proposed as those that contribute to route optimization and traffic prediction. Conclusions: the statistical analysis of passenger transportation established that reducing carbon dioxide emissions is an unresolved task for both public transport and the transportation system. It is proposed to include methods and means that optimize public transport, reducing the carbon footprint of the initiatives of implementing the concept of a smart city, which are successful all over the world. It is proposed to use recurrent, convolutional and deep neural networks to optimize passenger transportation in smart cities.

Comparative analysis of the optimal route recommendation models based on city public transportation network data

In recent years, studies on smart cities have attracted much attention in the literature. In the smart city concept, urban public transportation network studies are one of the most important issues. Afterthe 2000s, smart cards have been widely used in city public transportation systems. Using the data collected through the smart card, many models have been created in line with the smart city concept. In the literature, there are various optimal route recommendation models using urban public transportation network and city smart card data. In this study, some current models built on the basis of urban public transportation network and smart card data are discussed. The specifications of the models, their important differences, the topologies they use, optimization criteria, and computational complexities are analyzed. Dijkstra’s algorithm, which is widely used for the solution of optimal route recommendation models, and its various modifications are analysed. Additionally, various models developed by applying fuzzy logic are examined. Comparative analysis of public transportation network models is given.

TOWARDS GREEN SMART CITY THROUGH PROVIDING OPEN SPACE FOR CITIES IN INDONESIA: SYSTEMATIC AND BIBLIOMETRIC LITERATURE REVIEW

Smart cities become benchmarks in development cities around the world since the 1990s. In the urban planning context, there are concerns regarding the application of the smart city concept which is considered to only prioritize the progress of cities by technology however no notice to the ecological side of the city. This research discusses the development and arrangement of cities through planning that ensures ecosystem balance, one of which is through open space, which in this case is widely discussed that is green open space. The usual problem that occurs during the development of green open space is not enough land area for available allocation causing an imbalance ecosystem as well as against the sustainability concept. This research method studies literature systematic and bibliometric using Microsoft Excel and VOSviewer from discussion theory and policy about green open space that has been planned in various countries for can applied to cities in Indonesia. The analysis explains the discussion regarding green open space in connection to moving towards a green smart application to cities in Indonesia. Eventually, the findings from this research are discussed related to implementation in the cities in Indonesia which are divided into five aspects, namely political land development, community perception, infrastructure, landscape design, and socio-economic psychology. The final recommendation is that this aspect can be studied further to be applied to cities in Indonesia to realize city smart green future.

Eco-Public Installation Through Landscape Architecture for Sustainability in the Urban Space

Sustainable art in landscape architecture encompasses activities like installing works of art that are durable, functional, decorative, iconographic, interpretative, integrated, ephemeral, or temporary. Projects of sustainable installation in landscape architecture have highlighted the contributions of public arts in social, cultural, and economic aspects. Studying the environmental impacts of public art in cities is still lacking. The purpose of this article is to highlight the contribution of eco-art in urban space to the development of sustainable cities, through the exam of a selection of sustainable installation from the word. Therefore, peer-reviewed articles and online resources were used to analyze sustainability, awareness, and environmental values associated with eco-public art and sustainable installations in order to inspire other directions, such as a dialogue between art and the public, landscape architecture, and environmental sustainability through public art. Despite landscape architecture studies are often focused on sustainability; however, there is little research on how to create durable installations through the synergy between art, design, and architecture. Based on the analysis of selected projects using a combination between art, design, and architecture concepts, to create an eco-installation in the urban space, it was highlighted that, during the early phases of promoting the green city concept, Eco-Public Art promotes visual support, tools, and the form of knowledge. All the analyzed sustainable projects were developed to demonstrate the best approach to public art because of their attitude and behavior toward the major issues.

Taking Shenzhen and Shanghai as Examples to Analyze the Construction and Development of Smart Port Cities

In recent years, the enthusiasm for discussing building smart cities has been boosted greatly worldwide, and the residents of major super cities seem to be eager to understand what a smart city is. Unfortunately, due to the International Business Machines Corporations (IBM) recent introduction of the concept of smart cities, many people have misunderstood the concept of smart cities, and even mistakenly classify urban digitization as the scope of smart cities. The core element of a smart city is to use various Smart City Facilities (geographic information systems, urban security systems, intelligent traffic control systems, environmental monitoring systems, residents feedback systems) to bring the city onto an intelligent, automated, efficient, and livable road. This article aims to compare two significant Chinese port cities, Shenzhen and Shanghai, in their efforts to establish smart cities. It delves into the challenges they encountered during this process, analyzes the benefits accrued, and offers valuable reminding for cities aspiring to embark on their own smart city journey in the future.