Geographic Information System Capabilities Research Articles

Evaluating Environmental Justice and Public Housing in a Data-Rich Era

We examined the spatial concentration of public housing, demographic indicators of low socioeconomic status, and environmental locally unwanted land uses (LULUs) in eight populous U.S. cities. Using the updated EJScreen database and its geographic information systems capabilities, we, as expected, found subsidized housing to be disproportionately colocated in areas with poor and underserved residents. Underground storage tanks and high traffic density were consistently associated with the location of public housing, whereas Superfund sites were located near public housing in only half of the cities in the study. Increasing our understanding of the variables typically used to measure environmental and social justice is important to expand the discussion around a broader set of environmental measures that might be more relevant to the communities that live near them without ignoring the traditional ones that have marked the early legacy of the environmental justice movement.

Data Management System - Water Supply and Channeling with GIS Mapping

GIS mapping enables visualizing spatial data related to water sources, distribution networks, infrastructure assets, and other pertinent information crucial for effective management. Asset management functionalities enable tracking the condition, maintenance schedules, and lifecycle of water infrastructure assets, ensuring optimal utilization and performance. This paper presents the design and implementation of an integrated data management system tailored for water supply and channeling, augmented with Geographic Information System (GIS) mapping capabilities. The system aims to streamline the management of water resources, optimize distribution networks, and enhance decision making processes for water utility providers and stakeholders. The system architecture comprises several key components: GIS mapping, data collection mechanisms, database management, sensor integration, network analysis tools, asset management functionalities, decision support systems, remote monitoring and control capabilities, and user interfaces. Data collection mechanisms encompass various sources such as sensors, surveys, satellite imagery, and existing databases to gather comprehensive datasets on water sources, quality parameters, infrastructure condition, and demographic factors. A robust database management system is employed to efficiently store, manage, and secure the collected data, facilitating easy retrieval and analysis. Real-time sensor data from water meters, flow meters, and pressure sensors are integrated into the system to provide insights into water usage patterns, network performance, and system health. Network analysis tools utilize GIS capabilities to optimize the layout of distribution networks, identify areas for expansion, and improve operational efficiency Remote monitoring and control capabilities empower operators to monitor and manage water systems from a centralized location, enabling proactive maintenance, leak detection, and emergency response. Security measures are implemented to safeguard sensitive water infrastructure data against unauthorized access, cyber threats, and data breaches, ensuring the integrity and confidentiality of the system. Overall, the integrated data management system presented herein offers a comprehensive solution for optimizing water supply and channeling operations, enhancing efficiency, reliability, and sustainability while minimizing costs and environmental impact

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.

THE USE OF GIS FOR ECOLOGICAL AND LANDSCAPE LAND MANAGEMENT OF HUMAN SETTLEMENTS

The issue of forming an analytical and informational base for management decisions in the field of land affairs is particularly relevant given the global trend of systemic social transformations. It requires active implementation of the latest information technologies. The study aims to comprehensively analyze the aspects of using geographic information systems (GIS) for ecological and landscape land management of human settlements. The research was carried out using general scientific methods of cognition: logical and structural analysis, induction and deduction, comparison, abstraction, specification, generalization, and formalization. The article investigates the basics of GIS and variations of their implementation in the field of land management. It highlights the main provisions and algorithmic structure of the process. The authors described the typical features of modern GIS technologies and their capabilities in the spheres of mapping, monitoring, and other aspects of land management. The main problems, challenges, and achievements of the GIS utilization process are considered. It has been determined that the effective utilization of GIS capabilities is a promising priority area for optimizing the land utilization system. The practical significance of the findings of this paper is manifested in the feasibility of using them in developing suitable programs to improve the efficiency of ecological and landscape land management of settlements. Also, the study's results can be used to form a universal effective model of GIS technologies application during the process of land utilization management.

Novel approach for the LULC change detection using GIS & Google Earth Engine through spatiotemporal analysis to evaluate the urbanization growth of Ahmedabad city

Changes in Land Use and Land Cover (LULC) have a significant impact on both urban and environmental planning, especially in the context of rapidly urbanising areas. The largest city in the state of Gujarat, Ahmedabad, has experienced substantial growth. Utilising the powerful tools of Geographic Information System (GIS) and Google Earth Engine (GEE), this study uses a thorough methodology to track and examine changes in LULC over the last ten years. Modifications in LULC have a significant impact on both urban and environmental planning, especially in light of the fast urbanisation cycle. This study uses a comprehensive approach to monitor and analyze Landsat imagery changes in LULC over the past ten years, leveraging the powerful capabilities of Google Earth Engine and GIS. Important insights into LULC patterns are revealed by analysing Landsat imagery from Ahmedabad from 2013 to 2023. Pre-processing with GIS and GEE, accuracy evaluation, and classification of satellite images are all included in the methodology. With a notable 0.85 Kappa and 89 % accuracy in LULC classification, the resulting LULC classifications cover settlements, vegetation, water bodies, arid land, and other relevant features. Results show that over the previous ten years, Ahmedabad has seen a noteworthy decrease in agricultural lands of 13.74 % and a reduction in barren areas of 4.78 %. Meanwhile, the total LULC patterns have shown a significant expansion of 23.56 %. This study is significant because it highlights how urbanisation reduces vegetation cover. The results will helpful for urban planning strategies that take changing environmental dynamics into account.

Decentralizing spatial data: the convergence of Geographic Information Systems and Web 3.0 technologies


 
 
 Geographic Information Systems (GIS) have long served as pivotal tools for map- ping and understanding spatial relationships. However, the dawn of Web 3.0 technologies has catalyzed a transformative shift in the geospatial domain. This research meticulously investigates this transformation, focusing on the integration of decentralized spatial data storage, blockchain, Artificial Intelligence (AI), and Machine Learning (ML) with traditional GIS frameworks. Decentralized systems, un- derpinned by the principles of Web 3.0, present a promising alternative to centralized data storage, addressing challenges related to scalability, data sovereignty, and system vulnerabilities. Blockchain technology, traditionally associated with financial transactions, emerges as a cornerstone in this new GIS paradigm, ensuring unparalleled data integrity, transparency, and security. Its decentralized ledger system, combined with consensus mechanisms, offers a robust and transparent framework for managing diverse spatial data- sets, ranging from land registries to intricate environmental monitoring systems. The incorporation of AI and ML technologies further augments the capabilities of GIS. Beyond mere visualization, GIS, when powered by AI and ML, can process vast datasets, discern complex patterns, and even predict future spatial trends with remarkable accuracy. This research emphasizes the role of real-time and dynamic queries, highlighting the transition from static GIS analyses to more adaptive and predictive geospatial evaluations. While the potential advantages of this technological convergence are substantial, the research also sheds light on inherent challenges, espe- cially those related to the management of high-volume real-time data and ensuring data consistency across diverse sources. Building upon foundational works in the field, this study offers a holistic and comprehensive perspective on the synergistic potential of Web 3.0 technologies, AI, ML, and blockchain within GIS. It not only extends the findings of prior research but also paves the way for future explorations, setting the stage for innovative advancements in geospatial analysis.
 
 

A general method for multi–hazard intensity assessment for cultural resources: Implementation in the region of Eastern Macedonia and Thrace, Greece

The protection of cultural resources from natural and human–induced hazards has been an area of intense scientific interest over time. The literature highlights that, despite the intensive research efforts to date, there is a lack of a commonly accepted hazard assessment framework that supports decision–making to limit their negative effects and contribute to the protection of cultural heritage. In this paper a general method for assessing the intensity of multiple hazards on cultural resources is developed and applied. The proposed method utilizes a) the capabilities of Geographic Information Systems (GIS), b) open geospatial hazard data and c) an original 7–step integrated method developed in this research. Key features of the proposed method are its ability to consider and synthesize intensities of both quantitative hazards such as earthquake, flood and hazards expressed on a qualitative scale, such as wildfire and landslide. The proposed method is applied to assess the exposure of 918 cultural resources of the Region of Eastern Macedonia and Thrace, Greece, to earthquake, flood, landslide, sea level rise, wildfire, soil erosion and industrial–technological accident and develop an aggregate multi–hazard intensity index (mhii) for each of the cultural resources in this region. The proposed method can be applied to hazard intensity assessment for resources other than cultural, such as the human capital of a region, infrastructure, environment, and economic facilities. This provides researchers, scientists, and managers of cultural sites with a tool to set priorities for the design of appropriate mitigation strategies to reduce the negative impacts of hazards.

UrbanGenoGAN: pioneering urban spatial planning using the synergistic integration of GAN, GA, and GIS

Introduction: Urban spatial planning is critical for the development of sustainable and livable cities. However, traditional planning methods often face challenges in handling complex planning scenarios and large-scale data.Methods: This paper introduces UrbanGenoGAN, a novel algorithm that integrates generative adversarial networks (GANs), genetic optimization algorithms (GOAs), and geographic information system (GIS) to address these challenges. Leveraging the generative power of GANs, the optimization capabilities of genetic algorithms, and the spatial analysis capabilities of GIS, UrbanGenoGAN is designed to generate optimized urban plans that cater to various urban planning challenges. Our methodology details the algorithm’s design and integration of its components, data collection and preprocessing, and the training and implementation processes.Results: Through rigorous evaluation metrics, comparative analysis with existing methodologies, and case studies, the proposed algorithm demonstrates significant improvement in urban planning outcomes. The research also explores the technical and practical considerations for implementing UrbanGenoGAN, including scalability, computational efficiency, data privacy, and ethical considerations.Discussion: The findings suggest that the integration of advanced machine learning and optimization techniques with spatial analysis offers a promising approach to enhancing decision-making in urban spatial planning. This work contributes to the growing field of AI applications in urban planning and paves the way for more efficient and sustainable urban development.

Geographies of landscape aesthetics: mapping landscape terminology in digitised historical travel accounts of Loch Lomond and the Trossachs

ABSTRACT This study spatially analyses aesthetic terms in historical travel accounts of the landscapes of Loch Lomond and the Trossachs from the eighteenth to the twentieth century. We applied a hybrid approach, combining qualitative methods of textual analysis with quantitative techniques of a Geographical Information System (GIS), to a corpus of 38 digitised works featuring a range of historic guidebooks and travelogues. To identify relationships between place names, landscape features and the aesthetic terms beautiful, magnificent, picturesque, romantic and sublime, we first analysed how these terms occurred together in the text. We also used digital terrain model data in GIS to explore relationships between the aesthetic terms and the elevation of place names and landscape features. The results provide evidence that the aesthetic terms magnificent and sublime were applied to describe places and landforms at higher elevations, whilst beautiful, picturesque and romantic were applied to lower-lying regions of the Loch Lomond and the Trossachs landscapes. Our findings illustrate how the cartographic capabilities of GIS, combined with text analysis, can shed light on how landscapes were historically represented in travel literature.

Enhancing Business Strategies with Advanced Location Intelligence Techniques: A Multifaceted Approach Using GIS and Python

This paper delves into the transformative impact of advanced location intelligence (LI) techniques on business strategy formulation across several critical areas, such as optimizing service coverage, determining strategic retail locations, planning network infrastructure, and analyzing market penetration. By harnessing the capabilities of geographic information systems (GIS) and Python for advanced analytics, we underscore the significance of LI in informing strategic decisions, elevating customer experiences, and achieving a competitive market edge. Our approach employs a holistic methodology that includes rigorous data quality checks, in-depth geospatial analysis, and detailed demographic assessments, enriched by practical case studies. This synthesis offers valuable, actionable insights for businesses aiming to leverage LI in strategic planning, thereby driving growth and operational efficiency.

A GIS-Based Streets Network Analysis in Al-Riyadh District, Al-Khartoum City

In light of the remarkable development and high population density, there are many questions regarding traffic problems and the possibility of reaching the event location in the shortest time. For all these inquiries, this paper aims to analyze the streets network of Al Riyadh district using Geographic Information Systems (GIS), represented in finding the optimal path between the home and the school based on time and length and finding another path in the event of an obstacle in the chosen path, clarifying the service area for an ambulance center, and also knowing the closest fire station to the place of the fire and the optimal path between them. To achieve these objectives, an ArcGIS 10.6 program was used, and many procedures were taken, a geographical database was created, a network dataset was built, and a lot of analyses were done by the network analyst toolbar. According to the findings of this study, was known the optimal path between two locations, the service area of an ambulance center and the closest fire station to the fireplace, to be able to perform the required service in the shortest possible time. This work is a real contribution to the development of societies, as it is difficult to reach these results without using the capabilities of GIS. Therefore, it is recommended to implement all the analysis tools for the streets network within the GIS program.

Suitability Analysis based on GIS and AHP for Urban Development Projects

As urban areas grow, it is essential to recognize that natural areas on the city's periphery are becoming more vulnerable to disruption. Adopting an approach that balances protection and usage without harming the natural environment is essential to ensure that urban development projects are produced sustainably. This requires a thorough analysis of factors related to the planning area, which is best achieved through a suitability analysis. In this study, we used Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP) to conduct a suitability analysis for the "Bizim Şehir (Our City) Project" in Konya. We evaluated six factors: soil characteristics, geology, natural disasters, aspect, slope, and property status. Thematic maps were produced for each factor using GIS and then standardized. Next, we determined the percentages of the factors affecting the suitability analysis using the AHP method. Finally, we integrated the factors using the spatial analysis capability of GIS according to predetermined weight percentages to produce the suitability analysis. The results showed that 54.9% of the case area was suitable for development. This study proposes a method for designing sustainable living areas using suitability analysis.

Utilizing Nighttime Photos to Locate Attraction Zones at the Metropolitan Scale: An Analysis of Istanbul

Up-to-date information about different forms of land-use (residential areas, industrial areas, central business districts, recreational areas, etc.) is essential for city planning processes to obtain better urban and regional planning decisions. Traditional methods (e.g., field surveying or WEB/GPS based data collection) used to gather up-to-date information can often contain some errors and can also be time-consuming and expensive, especially for large metropolitan urban areas. With the integration of Remote Sensing (RS) and Geographic Information Systems (GIS) related technologies, the difficulty of providing up-to-date information about different types of land-use can be greatly reduced. On the other hand, in terms of urban and regional planning, the level of utilization of these technologies is still considered to be insufficient. In this respect, authors wanted to draw attention to another possible usage of night-time data in urban and regional planning discipline for the purpose of determination of the location, size, and hierarchy of the attraction zones in urban scale which are mostly composed of central business districts (CBD), commercial zones, touristic corridors and/or concentration areas etc., as these regions are more illuminated areas compared to other zones of a city. Thus, a methodology based on GIS and RS integration and spatial and statistical analysis capabilities of GIS is presented in this study to determine the boundary and size of the attraction zones and their hierarchical levels by using the night-time imageries. To show how effective the suggested model is, the proposed methodology has been used in the city of Istanbul. The assessment of the location, size, and hierarchy of the attraction zones could give an essential decision support for the decision makers, especially those working in the urban planning discipline, as the attraction zones of cities need to be developed in a more specific and detailed manner. Thus, the model's outputs' reliability and potential applications in the field of urban planning are also examined.

THE LOCATIONAL MEASURE IN THE PLANNING OF QARIAH MOSQUES

Public facilities are vital to contributing positively to people’s quality of life. Facilities play an important role in cities by providing public services to communities. Therefore, planning equitable public facilities is crucial for planners to ensure that every citizen has equal access to the planned public facilities. Scholars have conducted various studies to assess the location and distribution of public facilities. Spatial equity is one aspect of locational measures used by scholars to determine the accessibility and spatial distribution of facilities in relation to the user’s location. Previous studies by researchers have focused on public facilities such as medical facilities, parks, and schools. However, there have been limited studies that evaluate the spatial equity of religious facilities such as mosques. Therefore, this study attempts to assess the location of qariah mosques (mosques of local jurisdiction) based on the spatial equity concept by measuring their spatial distribution and accessibility. The present study utilised a Geographical Information System (GIS) and used descriptive and statistical analyses to examine the spatial equity of 418 mosques in Selangor Darul Ehsan, Malaysia. GIS data was collected for this study, which includes mosques, populations, and mukim (township or sub-district) boundaries. The study used aggregated data from the population to identify the spatial pattern and spatial distribution of accessibility to mosques. The data was analysed using the container index and local indicators of spatial association (LISA) to assess the accessibility and spatial equity. This method utilised GIS capabilities to explore the spatial relationship between mosques and population characteristics. By adopting this approach, the findings of the study will reveal communities with limited accessibility to mosques.

Soil mapping as one of the means of optimizing precision agriculture

This article presents all the possibilities for developing and implementing a modern method of updating existing soil-cartographic data and obtaining the most reliable data within a short period with minimal labor, financial and material costs for specialists in the field of agronomy. Accurate farming and rational cultivation of grain and non-grain agricultural plants are impossible without taking into account reliable, objective, complete, and detailed information about the soil situation in our country. Thanks to the development of science and the introduction of the latest technologies, new opportunities appear to improve the monitoring, speed, objectivity, and economic productivity of soil mapping by minimizing complex and challenging fieldwork and facilitating the conduct of chemical studies of soil samples. The practice of creating soil maps acquired by other advanced countries proves a great need to use reliable Earth remote sensing data in integration with the capabilities of geographic information systems (GIS) and global positioning tools (GPS) in precision agriculture. They concluded and provided data for solving the task by performing geoinformation mapping using non-contact methods for soil diagnostics and research. The diagnostics of this study are aimed at verifying the integrity and practicality of the application of non-contact methods that contribute to the analysis of the soil surface and the creation of new conditions for the introduction of precision agriculture in the regional plane in connection with the emergence of specific difficulties and shortcomings in the use of remote sensing data of the Earth's surface for accurate surveying of the area research.

The systemic approach to risk analysis in geography

This paper presents a brief review of risk studies in Geography since the beginning of the 20th century, from approaches focused on physical-natural components or social aspects, to perspectives that incorporate a systemic approach seeking to understand and explain risk issues at a spatial level. The systemic approach considers principles of interaction between multiple variables and a dynamic organization of processes, as part of a new formulation of the scientific vision of the world. From this perspective, the Complex Systems Theory (CST) is presented as the appropriate conceptual-analytical framework for risk studies in Geography. Finally, the analysis and geographic information integration capabilities of Geographic Information Systems (GIS) based on spatial analysis are explained, which position it as a fundamental conceptual and methodological tool in risk analysis from a systemic approach.

A Transit Access Analysis of TANF Recipients in Portland, Oregon

Little evidence exists regarding the relationship between transit service availability and the ability of welfare recipients to find stable employment. While policymakers continue to assert that increased public transit mobility can positively affect employment status, there is little empirical evidence to support this theory. It is generally assumed that public transit can effectively link unemployed, earless persons with appropriate job locations. From these assumptions stems the common belief that if adequate transit were available, the likelihood of being employed would increase. Hence, the call for more transit services to assist moving welfare recipients to gainful employment. Current available evidence is anecdotal, while general patterns of transit access and labor participation remain relatively unexplored.This analysis examines whether transit access service is less available to Temporary Assistance for Needy Families (TANF) recipients in the City of Portland, Oregon. It uses disaggregate TANF recipient location data from the State of Oregon Department of Adult and Family Services (AFS); transit route/stop data from Tri-Met; block-group census data; and disaggregate employment location data within Geographic Information Systems (GIS). GIS capabilities are essential in performing network accessibility analyses and for analyzing spatial patterns of TANF recipient and employment locations. The results of this analysis provide an assessment of the availability and quality of transit service for TANF recipients.

Enhancing Hybrid Learning using Open Source GIS-Based Maps Archiving System

In the era of communication technology and its integration with the learning process, the role of the educational institutions has significantly changed, especially after the expansion of Internet use and the rise of what's currently known as “Internet-based learning environments”. After the COVID-19 pandemic, it was necessary for researchers to search for alternatives to the traditional pedagogical approaches of maps teaching so as to cultivate well-educated learners able to adapt to rapidly changing technology-enhanced learning. Hence, the aim of this study is to develop the learning process in the Geography and Geographic Information Systems (GIS) departments in the faculties of Cairo University. To the best of the researchers’ knowledge, this is the first study in Egyptian universities and research associations that utilized GIS and open-source technology to use such a system in classroom pedagogical settings. For achieving this aim, GIS capabilities and a bunch of open-source technologies were utilized to build online maps archiving system that provides rapidly discover, preview, and retrieve digital maps of different types from multiple repositories through several query operations. This will facilitate the teaching process for both staff and students and will make it more interactive and safer. To ensure the efficiency of the designed system, it was tested by a set of tools (Checklist and Questionnaires). The findings of the study point to the proposed system as contributing in significant ways to developing the learning process, increasing students’ interaction with maps, and providing the necessary learning tools.

GIS Integrated System for Internal Medicine and Transport Network: A Conceptual Framework of Control Spread of Emerging Infectious Diseases

Introduction: The spread of infectious disease in Africa is a major issue that demands the use for the most effective technology for its control and prevention. Geographical Information System (GIS) is an emerging technology with proven capacity to chart the spatial occurrence social phenomena, both statically and dynamically. GIS offers considerable advantages over the traditional cartographic methods from which it emerged. The purpose of this research paper is to explore and demonstrate the capability of GIS in measuring the spread and predicting infectious disease in developing countries and assisting (government) decision-makers in understanding and controlling the spread of communicable disease. Specifically, the aim is to establish an integrated framework for using GIS in epidemiological studies at the grassroots level. Methods: The paper based on the author previous published papers and review of the existing literature. Result: The data collection will center on the virus that has reached Lagos along the coast road from Accra in Ghana; Calabar from infected Cameroon to the east and arrived in the north via a "right hook" of long-distance trucking to Maiduguri. Thus, there is a need for the establishment of GPS base station in Lagos, Nigeria to improve accuracy and precision of satellite data collection through use of differential corrections. There is also a need to link clinical and HIV/AIDS databases to GPS database. The information required to support HIV/AIDS spread analysis can be generally classified into the following three categories :(a) transportation network (i.e. distance; average daily traffic; number of stops; etc.) (b) social/demographic factors (i.e. population; characteristics of HIV carriers/AIDS sufferers; the distance to school, hospitals, and other sensitive areas) (c) other geographical considerations (i.e. tribal affiliation; neighboring country.). The principal social/demographic factor that is operational in the referenced HIV/AIDS spread model is population. This is a GIS database of enumeration district centroids with attribute information, available through the National Population Centre and African AIDS Network. The enumeration district boundary file for each district will be established by drawing lines that bisect each adjacent enumeration district centroid. Through recursive use of this process, enumeration district borders will be shaped such that every district occupies a unique area surrounding its centroid, and collectively the district occupies the entire suburb area. Conclusions: The paper concludes that direct the nature and the geographical focus of control efforts carried out at the state or local government level, where these decisions are constrained by the limited resources for control programs, which are always a reality in developing countries. This integrated GIS is significance because it will provide an important opportunity for improved decision support for the educational interventions, health care delivery systems and management of infectious disease spread at the local, regional and national levels.

DESIGN OF THE TOURIST INFRASTRUCTURE OF THE CITY APPLICATION. PROBLEMS OF LEISURE PLANNING

The article considers the current problem of tourism development in Ukraine and in a particular city Kharkiv. This problem is especially relevant today, due to the spread of COVID-19 pandemic. Nowadays, in order to correct the situation in this sector of the economy, it is advisable to use specialized information support. There are many different resources on the Internet, with which one can get help or mark out a route, depending on the selected points of interest. Some of them specialize in working with the map, in particular in marking out routes, finding and displaying places of tourist infrastructure on the map. Others display information about events taking place in these places without cartographic reference. But each of these resources has only a part of the needs of a tourist or resident who wants to plan their leisure time. The proposed application will fill all the flaws of existing resources. It will meet the needs of navigation, information and planning functions. In other words this application will be the first application that combines the functions of finding and providing information about places of tourist attraction, marking out routes between them and creating an optimal plan for visiting them. The geographic information system ArcGIS was chosen to solve this problem. It contains the necessary modules for working with vectorized maps, layers and provides programming. An intuitive application interface was created using VBA. It contains the necessary forms for routing between points of interest and time planning. The article demonstrated the capabilities of geographic information systems in tourism business sphere It demonstrated a solution that allows with maximum convenience and minimum time not only to obtain the necessary information, but also to plan their leisure. It will help even during lockdowns and other anti-epidemic measures to prevent decline of tourist infrastructure.