Field Of Urban Planning Research Articles

GEODESY IN SOLVING PROBLEMS OF SUSTAINABLE CITY DEVELOPMENT: ANALYSIS OF URBAN TERRITORY PLANNING

The article focuses on the creation and implementation of a geodetic planning system aimed at ensuring the sustainable development of urban areas. The main emphasis is on the use of open and accessible software, integration of full-fledged GIS and DBMS components. The process of determining the most suitable GIS platform for GSP included a detailed analysis of various GIS systems taking into account their functionality, which allowed to choose QGIS as the optimal solution due to its high functionality in the field of geodata management, support for various data formats, user interface and dynamic development. The structure of the GSP is based on two main platforms: the QGIS GIS system for cartographic data presentation and analysis, and the Microsoft Access DBMS for performing all data operations. Interaction between these platforms is provided through the eVis module built into QGIS, which allows for efficient planning of urban area surveys and land use management. The main tasks solved with the help of GSP are the planning of primary surveys to identify target plantations, detailed taxation of plantations with the creation of samples according to specified parameters, obtaining point maps of the distribution of various types of vegetation, planning sample surveys with specific geospatial conditions, as well as geo-information and tax analysis in in solving the problems of sustainable development of cities. The implementation of GSP provides significant advantages for planning the sustainable development of urban areas, allowing more efficient use of land resources, optimizing urban management processes and intensifying scientific research in this field. The development and integration of modern digital technologies in the field of urban planning play a key role in achieving the goals of sustainable development.

Градостроительный век (история НИИ)

The scientific and historical essay reveals the history of the formation and development of one of the oldest research institutes in the field of urban planning in Russia. From the origins of its foundation to the present day, the Institute has gone through a difficult path of development and transformations corresponding to the genesis of social relations, thanks to which it occupies a leading position in the industry.

Smart Cities in comparison: An analysis of the best Smart Cities

This research paper aims to identify the best Smart City in the world, by investigating the rankings of Smart Cities, based on its main characteristics and implemented policies. The purpose of this study is to provide a comprehensive understanding of what makes a city “Smart” and to highlight the successful strategies employed by the top-ranked Smart Cities. The research employs a qualitative analysis approach, utilizing thematic maps created with the QGIS software. This methodology allows for a detailed examination of various factors contributing to a Smart City’s status, including but not limited to, technological integration, sustainable practices, and citizen participation. The expected results of this study is to report and analyze the best smart cities, according to the Smart City rankings, and also to shed light on the key elements and policies that contribute to their success. These findings could serve as a benchmark for other cities striving to achieve ‘Smart’ status. Furthermore, the thematic maps will visually represent the distribution and implementation of Smart policies, providing a clear and comprehensive overview of the Smart landscape in the top-ranked cities. This research has the potential to contribute to the field of urban development and planning, particularly in the context of Smart Cities. It could guide policymakers and city planners in designing and implementing effective strategies to transform their cities into more sustainable, efficient, and livable spaces.

Urban planning, noise pollution and mental health outcomes

IntroductionIn large cities around the world, many sources of noise including traffic, domestic, construction, and industrial activities, contribute to urban noise pollution, which is now, a major concern in public health as declared by the WHO, for more than a decade (in 2011).ObjectivesThe aim of this study was to try to find potential recommendations and references in terms of urban planning, particularly with the emergence of smart cities, to combat the problem of noise pollution and related mental health hazards.MethodsWe conducted a comprehensive review of the scientific literature using the following keywords: cities, smart cities, noise, pollution and mental health.ResultsOur research found that the continuous exposure to high noise levels could lead to psychological and physiological problems, such as hearing disorders, high blood pressure, heart disease, inconvenience and sleep disorders. While recent evidence indicates that road traffic noise has a negative impact on mental health and that aircraft noise significantly increases the risk of depression, there are not enough studies to date to properly assess the relationship between urban noise pollution and mental health hazards such as anxiety, mood disorders, sexual disturbance, cognitive impairment, learning disabilities, dementia, etc. In the field of urban planning, there is also a lack of reliable data on individual exposure to environmental noise in space and time, and on its effects on mental health.ConclusionsVarious noise mitigation strategies in urban renewal plans are proposed, such as the implementation of noise mapping to provide the detailed spatial distribution of noise levels in urban areas, their sources and time intervals, noise barriers along traffic arteries, vegetation and landscaping. New infrastructure projects involving new expressways and high-speed trains as well as the widening of major roads in their central areas are also suggested.Disclosure of InterestNone Declared

Segmentation analysis of UAV images based on Unet deep learning algorithm

The continuous development of UAV technology provides us with more and higher quality data, in which the application of UAV image segmentation technology can help us better understand and process these data. Traditional image segmentation methods can no longer meet the needs of UAV image segmentation, so researchers have begun to explore the application of deep learning methods in UAV image segmentation.U-Net, as a classical deep learning model, is also widely used in UAV image segmentation.U-Net is characterized by two parts: encoder and decoder, which are used to extract the image features, and decoder is used to map the features back to the original image size. features to map back to the original image size. UAV image segmentation technology can be applied in agriculture, urban planning, environmental monitoring and other fields. In the field of agriculture, UAV image segmentation can help farmers better manage and monitor farmland to improve crop yield and quality. In the field of urban planning, UAV image segmentation can help urban planners better understand the development status of the city and provide a more scientific basis for urban planning. In the field of environmental monitoring, UAV image segmentation can help us better monitor the changes in the natural environment and provide more effective means for environmental protection. By setting the ratio of training set, validation set and test set as 6:2:2 and performing 100 rounds of training, the U-Net model shows good results in UAV image segmentation. The loss of the model gradually stabilizes at 0.2979 and the accuracy gradually converges to 90.34%. The test results show that the prediction results are very close to the true mask, indicating that the U-Net model can segment UAV images well. The application of UAV image segmentation technology can help us better understand and process the data acquired by UAV and provide more information and basis. In the future, with the continuous development of UAV technology, UAV image segmentation technology will also be more widely used. Through the application of UAV image segmentation technology, we will better understand and protect our environment, manage our farmland more efficiently, and plan our cities more scientifically.

Research on the queuing theory in practical applications

In the face of mounting global urbanization and digitization trends, the need for advanced tools for city planners and system managers becomes increasingly paramount to ensure seamless infrastructure operations. Among the arsenal of available tools, queuing theory emerges as a standout, offering invaluable predictions and strategies for a broad spectrum of situations. This article delves into the nuanced applications of queuing theory, with a specific lens on network communications and urban space planning. Drawing from a rich tapestry of academic sources, the narrative weaves together core principles to shape models that mirror real-world situations. At the heart of this exploration lies a deep dive into solutions that tackle network delay challenges, fine-tuning techniques for 6TiSCH resource allocation, and the subtle art of queue design at railway ticket counters. These instances highlight the adaptability and immediate relevance of queuing theory across various sectors. Those in the fields of design, system architecture, and urban planning will find this read enlightening. By leveraging the insights offered, decision-makers can pave the way for optimized system functionalities and heightened user experiences, vital in an era dominated by urban sprawl and digital transformation.

Evaluation and optimization of outdoor wind environment in block based on space syntax and CFD simulation.

The wind environment quality at the height of pedestrians can significantly affect the thermal comfort and physical and mental health of pedestrians, promote the diffusion of air pollutants and inhibit the formation of urban heat island effect, and has been paid more and more attention in the field of urban and rural planning. This paper takes Jianlan Road commercial pedestrian Street as an example to maximize the thermal comfort of pedestrians. Based on CFD numerical simulation technology and space syntax theory, the pedestrian wind environment of the accessible space of the block is selected for quantitative research. Through numerical simulation, the influence of block spatial form on the wind environment at pedestrian height under the initial condition of uniform air flow is analyzed, and some suggestions are put forward for the optimization of block spatial form. Finally, the block optimization scheme is verified and simulated. The visualization results show that the wind environment quality of the optimized high-accessibility space is significantly improved, the proportion of comfort zone is increased from 58.2% to 86%, and the static wind rate is reduced from 41.8% to 14%. The wind environment optimization effect is obvious.

Preface: 2nd International Conference on Civil Engineering, Architecture and Transportation (CEAT 2024)

On the behalf of the organizing committee, the 2024 2nd International Conference on Civil Engineering, Architecture and Transportation (CEAT 2024) was successfully held in Kyoto, Japan during January 20-21, 2024. Related exhibitors from research laboratories, industrialists and suppliers were invited to propose exhibitions and demonstrations. CEAT 2024 allows for the free exchange of ideas and challenges faced by these two key stakeholders and encourage future collaboration between members of these groups. The conference also fosters cooperation among organizations and researchers involved in the fields of civil engineering, architecture design, urban planning, transportation, and intelligent logistics. We enjoyed 4 keynote speeches and many oral presentations made by the authors which lasted for 15-20 minutes each, and a lot of inspiration sparked during the Q&A parts. Researchers who have contributed their work to CEAT 2024 shared their findings and experience with other researchers and attendees. Many participants without any contribution of research paper have also been allowed to attend the conference to gain knowledge in their respective areas. Within all contributions from the participants, less than 40 papers were final accepted from more than 60 submissions. Thanks to the dedication of every committee member and reviewer, we finally made this conference. CEAT 2024 Conference Committee Kyoto, Japan

Аdministrative responsibility in the field of town planning

The article is devoted to issues of administrative liability for offenses in the field of urban planning. The article draws attention to the shortcomings of the current legislation on administrative offenses and proposes measures to eliminate them. It is noted that urban planning activity is precisely the complex activity of state bodies and citizens for the formation and further development of common interests, territories, spaces, which involves a sequence of stages and is based on a close well- founded relationship and interdependence on socio-economic forecasting conditions. After all, the presence of such interconnection and interdependence is the main feature of urban planning legislation, which occupies a special place in the system of administrative law. Administrative liability in the field of construction arises in case of violation of the requirements of administrative legislation and urban planning. Therefore, the subjects of administrative offenses in the field of construction are social relations regulated by both administrative and urban planning law. This classification of administrative offenses by the subject of the offense is correct, as it allows to identify the signs of this element in the composition of the offense and to resolve the issue of the application of certain norms to the relevant social relations.
 Administrative responsibility for violations of legislation in the field of urban planning activities with a land and environmental component is only a small part of the total volume of «urban planning» components of the Administrative Code of Administrative Offenses. In view of this, it is important to point out the inter-branch nature of the relations of administrative responsibility for violations of the legislation on urban planning activities.
 Summarizing the results, the author concludes that an administrative offense in the field of urban planning is an illegal, culpable act (inaction) of a natural or legal person that violates the requirements of project documentation and normative documents in the field of construction, as well as the established order of construction, reconstruction, capital repair of objects of capital construction, putting it into operation, for which administrative responsibility is established by current legislation.

Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning

The advancement of cutting-edge technologies significantly transforms urban lifestyles and is indispensable in sustainable urban design and planning. This systematic review focuses on the critical role of innovative technologies and digitalization, particularly artificial intelligence (AI), in urban planning through geo-design, aiming to enhance urban life. It begins with exploring the importance of AI and digital tools in revolutionizing contemporary urban planning practices. Through the methodology based on the Systematic Reviews and Meta-Analyses (PRISMA) protocol, this review sifts through relevant literature over the past two decades by categorizing artificial intelligence technologies based on their functionalities. These technologies are examined for their utility in urban planning, environmental modeling, and infrastructure development, highlighting how they contribute to creating smarter and more livable cities. For instance, machine learning techniques like supervised learning excel in forecasting urban trends, whereas artificial neural networks and deep learning are superior in pattern recognition and vital for environmental modeling. This analysis, which refers to the comprehensive evaluation conducted in this Systematic Review, encompasses studies based on diverse data inputs and domains of application, revealing a trend toward leveraging AI for predictive analytics, decision-making improvements, and the automation of complex geospatial tasks in urban areas. The paper also addresses the challenges encountered, including data privacy, ethical issues, and the demand for cross-disciplinary knowledge. The concluding remarks emphasize the transformative potential of innovative technologies and digitalization in urban planning, advocating for their role in fostering better urban life. It also identifies future research avenues and development opportunities. In light of our review findings, this study concludes that AI technologies indeed hold transformative promise for the field of geo-design and urban planning. They have proven instrumental in advancing predictive analytics, refining decision-making, and streamlining complex geospatial tasks. The AI’s capacity to process expansive datasets and improve urban planning accuracy has facilitated more sustainable urban development and enhanced the resilience of urban environments.

Legitimising displacement: Academic discourse, territorial stigmatisation and gentrification

This article explores the territorial stigmatisation–gentrification nexus and how it is advanced by an intellectual pipeline between academics and policymakers in the USA. Despite much research revealing the pathologising narratives latent within displacement-inducing urban policies, little work has explicitly sought to underscore the influence of academic discourses in promoting these policies. Centring a triad of discourses surrounding concentrated disadvantage, social mix and neighbourhood effects – emergent namely from the academic fields of urban sociology, criminology, urban planning and urban economics – I provide an evidential linkage between academic discourse and displacement-causing US policymaking by conducting a document analysis of official reports related to two major US government programmes: the Moving to Opportunity for Fair Housing (MTO) Demonstration programme and the Housing Opportunities for People Everywhere (HOPE) VI programme. I suggest that these academic discourses operate to legitimise displacement via neighbourhood-centric framings which advance territorial stigmatisation and related gentrification. These discourses, I argue, reinforce the real estate state and the destructive capitalist force of uneven geographical development while working to facilitate the disregard of propositions that would effect structural change. I conclude with an explanation for the present configuration of the academy-to-policy pipeline and why it has failed to onboard critical, macro-structurally orientated scholarship, and issue a call for a direction forward.

Negar Yazdi: City Art and Urban Planning

In this article, Negar Yazdi – an urban planner recently honoured as the 2022 Australian Capital Territory Young Planner of the Year with over nine years of experience in shaping cities across various countries – provides insights into the close relationship between city art and the research field and practice of Urban Planning and Design. Through the lens of urban planning and design, she explores the role of public art in making better cities, fostering community engagement and creating unique urban experiences. In her view, public art contributes to the identity, liveability and lovability of cities and serves as a landmark that enhances the city landscape and facilitates navigation. This article highlights the importance of integrating art into urban design to create not only functional but also enjoyable, vibrant, inclusive and culturally rich city spaces.

Based on 3D Virtual Reconstruction of Modern City Landscape Sculpture Planning Design

INTRODUCTION: With the continuous advancement of urbanization, urban landscape sculpture plays an increasingly important role in modern urban planning. Traditional planning and design methods make it challenging to demonstrate the three-dimensional sense and artistry of sculpture fully; therefore, this study explores a new method of planning and designing modern urban landscape sculpture based on three-dimensional virtual reconstruction.OBJECTIVES: This study aims to enhance the three-dimensional sense and artistry of urban landscape sculpture planning and design through three-dimensional virtual reconstruction technology to meet the needs of modern urban development better. By using advanced technical means, the planning and design can be made more intuitive and specific and provide urban residents with a more artistic public space.METHODS: The study adopts advanced three-dimensional virtual reconstruction technology, combined with urban planning and design theory, to plan and design modern urban landscape sculpture. Firstly, relevant literature on urban planning and sculpture design is collected to understand the existing design concepts and technical means. Secondly, a detailed virtual reconstruction of the sculpture is carried out by using three-dimensional modeling software to show the three-dimensional effect of the sculpture. Finally, the design scheme is optimized and improved through fieldwork and expert review.RESULTS: Through three-dimensional virtual reconstruction technology, this study successfully shows the whole picture of modern urban landscape sculpture. The design scheme not only has a three-dimensional sense but it has also been improved in artistry. The results of fieldwork and expert evaluation show that the new design scheme is more in line with the needs of urban development and adds a unique artistic atmosphere to the urban space.CONCLUSION: This study has achieved positive results in the field of modern urban landscape sculpture planning and design through 3D virtual reconstruction technology. The new design method not only provides a more specific tool for urban planners but also creates a more creative and artistic public space for urban residents. In the future, the application of this method in different urban contexts can be further explored and expanded to inject more innovation and vitality into urban planning and sculpture design.

Integrating Artificial Intelligence and Environmental Science for Sustainable Urban Planning

The rapid urbanization of modern cities presents significant challenges in sustainable development. To address these challenges, there is a growing integration of Artificial Intelligence (AI) and Environmental Science to enhance urban planning processes. This research aims to assess the impact and utility of AI techniques within the framework of Geographic Information Systems (GIS) for sustainable urban planning. Specifically, it investigates how AI-enhanced GIS tools can be employed to improve urban development strategies and enhance sustainability assessments. Employing Spatial Analysis with GIS, this study analyzes data on land use, population density, and environmental indicators across several metropolitan areas. The methodology incorporates machine learning algorithms to predict and simulate urban growth patterns, enabling the assessment of various urban planning scenarios. The findings reveal that AI-enhanced GIS tools significantly improve the precision of development forecasts and sustainability assessments. These tools facilitate more informed decision-making in urban planning by enabling precise predictions about urban expansion and its environmental impacts. The integration of AI with environmental science not only enhances the efficiency of urban planning processes but also contributes to the resilience and sustainability of urban environments. The study provides urban planners and policymakers with advanced tools to forecast and mitigate the environmental impacts of urbanization, thereby setting a benchmark for future studies in the realm of sustainable urban planning. This research demonstrates the practical application of AI in enhancing the capabilities of GIS for complex spatial analyses, contributing significantly to the field of urban planning.

Evaluating the challenges and impacts of mixed-use neighborhoods on urban planning: an empirical study of a megacity, Karachi, Pakistan

IntroductionModern development is patented by rapid urbanization, which largely negatively affects the quality of life. Over the past few decades in the World; in the field of urban planning and the real estate market, Mixed-use development has become a Centre of attention. Karachi is the mega city with the highest population in Pakistan. Gulshan-e Iqbal is considered an upper to upper-middle-class income group residential place where mostly vertical development is observed. Soon the area gets popular for living, and road-facing flats started to engage in Residential cum commercial activities i.e., mixed-used development problems (traffic jams, people's regular mobility, etc.) for residents arose and as the area got crowded day by day these problems became more critical. The present research aimed to examine the land-use type, and its distribution in the area of Gulshan-e-Iqbal I, and investigate the causes of the failure of Mixed-Use Neighborhood development and to prove the problem environmental impact assessment of the area have also been done.Materials and methodsObject-based analyses have been conducted on a very high-resolution image of the SAS planet, Digitization has been done on the image later classified into 14 major classes. After attempting the strategic objective identification of issues causing Mobility, an inductive approach (Resident Survey) to analyze the resident perception and to validate issues raised due to mixed-use development, Environmental Impact Analysis has been done. Air Quality of study area has been done, in this regard PM 10 ppm, PM 1 ppm, PM 2.5, CO, CO2, and TVOC have been conducted for different timings. Wind Velocity has also been recorded for the same locations.Results and discussionIt has been investigated that mixed-use development is spread over the entire area by different ratios i.e., 7.3% by functional land-use, 24% of mixed-use development occupied 24% of total land-use in the area. From public perception, it is concluded that most people have their cars even more than two, and 66.7% park their cars on the streets rather than inside their premises. PM10 ppm values are higher along major roads and expressways and mixed-use development zones. PM2.5 reading is higher (249–267 ppm) at the mixed-use development. The overall Gulshan e Iqbal 1 is under the influence of PM1 pollution i.e., ranged from 153 to 248 ppm. The maximum emission (67–73 ppm) of Carbon monoxide is found at ATMs. The vast spread of CO2 in the atmosphere but along the main roads and interjections i.e., 342 ppm while the highest reading reached up to 800. TVOC is commonly found in congested places where there is more transport in limited areas. Wind velocity is found where the built-up structure is compact wind velocity is ultimately low but the concentration of pollution is higher.Conclusions and recommendationsThis study will be helpful to plan a suitable planning strategy to reduce the daily havoc generated by the constant flux of traffic, for urban development and sustainability.

A participant observation of distance teaching in the field of urban design

This paper explores the difficulties encountered by students of urban design in analysing and interpreting context due to a limited opportunity to personally experience them, a problem that has been exacerbated by the recent pandemic. How can they be supported, and what kind of skills and approaches should be reinforced when educating young architects in such a condition? The authors were instructors at Politecnico di Milano who supervised students in the field of urban planning during the first two years of the Covid-19 pandemic. The present article outlines the approaches adopted by students in achieving awareness about a place when developing their master theses following a semester in our studio.

Use of Machine Learning Techniques on Aerial Imagery for the Extraction of Photovoltaic Data within the Urban Morphology

Locating and quantifying photovoltaic (PV) installations is a time-consuming and labor-intensive process, but it is necessary for monitoring their distribution. In the absence of existing data, the use of aerial imagery and automated detection algorithms can improve the efficiency and accuracy of the data collection process. This study presents a machine learning approach for the analysis of PV installations in urban areas based on less complex and resource-intensive models to target the challenge of data scarcity. The first objective of this work is to develop a model that can automatically detect PV installations from aerial imagery and test it based on the case study of Crevillent, Spain. Subsequently, the work estimates the PV capacity in Crevillent, and it compares the distribution of PV installations between residential and industrial areas. The analysis utilizes machine learning techniques and existing bottom-up data to assess land use and building typology for PV installations, identifying deployment patterns across the town. The proposed approach achieves an accuracy of 67% in detecting existing PV installations. These findings demonstrate that simple machine learning models still provide a reliable and cost-effective way to obtain data for decision-making in the fields of energy and urban planning, particularly in areas with limited access to existing data. Combining this technology with bottom-up data can lead to more comprehensive insights and better outcomes for urban areas seeking to optimize and decarbonize their energy supply while minimizing economic resources.

INDUSTRIAL TERRITORIES IN DNIPRO CITY: TRANSFORMATION STRATEGY INTO RECREATIONAL ASSETS

In the modern world, with increasing urbanization, efficient land use becomes critically important for the sustainable development of cities. The reorganization of outdated industrial territories emerges as a key direction in this process, requiring a combination of various approaches to preserve industrial function, reprofile enterprises, and adapt production to new conditions. This study is built upon a broad methodological foundation, encompassing both general scientific and specialized methods within the fields of architecture, urban planning, and urban studies. Specifically, methods such as literary, statistical, and cartographic analyses, synthesis, and generalization are employed for data collection and processing. Specialized methods, including experimental design, mental mapping, and phenomenological analysis, are also utilized to achieve the research objectives. A cluster approach was employed in developing the concept of spatial development for recreation on former industrial territories. Taking into account various factors such as economic opportunities, sociocultural factors, urban planning considerations, ecological and infrastructural requirements, as well as legal aspects, is crucial for the successful reorganization of industrial territories for recreational purposes. Achieving a balance among these factors enables the creation of resilient, functional, and culturally rich spaces that contribute to improving the quality of life for residents and the development of cities. The research encompasses a strategy for planning the reorganization of industrial territories for recreational use, which involves the identification and analysis of territorial potential and condition, planning functional transformations, architectural transformation, sustainability and ecological considerations, public participation, infrastructure transformations, economic resilience, multimodality, and adaptability. The cluster approach involves the formation of flexible entities enriched with innovative, dynamic spaces encompassing various functional zones, while preserving industrial heritage and creating green, environmentally sustainable spaces that align with the needs of modern society. Community engagement and project flexibility are key elements in creating inclusive and sustainable ecological spaces that enhance the quality of life and attract new visitors. The article analyzes the urban planning situation in the city of Dnipro, identifying shortcomings in the formation of industrial zones. The study emphasizes the need to develop strategies to address issues related to the placement of production zones in the city, which lead to limitations in territorial development and the fragmentation of the urban fabric. Based on this, a concept of a recreational cluster for industrial tourism within the industrial hub "Fabrichny" is developed, envisioning the transformation of industrial territory into recreational facilities. An analysis of the site revealed valuable architectural objects that could become the main attractors of the recreational cluster. These objects served as the basis for the development of a conceptual project for the considered area.

Тенденции в перераспределении муниципальных полномочий в области градостроительной деятельности

Changes in federal legislation in 2014 provided the state authorities of the Russian Federation with the opportunity to redistribute municipal powers in the field of urban planning. To date, more than half of the regions have already taken advantage of the granted right, however, both in the scientific literature and in the expert community there are a small number of works devoted to the analysis and evaluation of this issue. The article presents the results of a study of the practices of redistribution of powers between the state authorities of the Russian Federation and local governments in the field of urban planning. As a methodology, a combination of verification methods and elements of system-logical analysis is used to describe and analyse the main characteristics and typical models of the redistribution of municipal powers in the field of urban planning, as well as correlation analysis to study the possible motives for such redistribution. The results confirm the lack of system and discretion of the state authorities in choosing the number of municipalities and municipal powers for redistribution. At the same time, the motive for redistribution, apparently, is their desire to have a greater influence on the administrative procedures associated with the implementation of housing building. All this opens up prospects for further research on this issue and the search for guidelines for meaningful control over the adopted laws on redistribution and rethinking the role of the state authorities of the Russian Federation in the field of urban planning and development.

Urban aspects of selecting lands for municipal solid waste disposal facilities

The article discusses the main approaches to the selection of a land plot for municipal solid waste disposal facilities, taking into account urban planning features. According to the analysis and theoretical studies, the selection of a land plot for municipal solid waste disposal facilities implies an interdisciplinary study and design of the territory, planned for development. The main objectives of the study include environmental protection requirements, building codes and regulations, sanitary and hygienic, engineering-environmental and urban planning rules. The paper analyses the main aspects of organising a land plot for municipal waste disposal facilities. The greatest attention is paid to the study of the regulatory framework in the field of urban planning in terms of determining the legal status of territories for the location of municipal solid waste disposal facilities. The paper develops an interdisciplinary model for studying the criteria of selecting a land plot for municipal solid waste disposal facilities. The necessary industrial regulations, defining the composition of requirements for the selection of a land plot for municipal solid waste disposal facilities, which should be improved taking into account urban development, are highlighted.