Geographic Information System Technology Research Articles

Electrical substations mapping for possible communication technologies using QGIS and Google Earth Pro

The visualization of mapping has aided researchers in gaining a better understanding and studying a specific area in a variety of professions. One of the well-known visualization software for mapping is the Geographic Information System (GIS). This work demonstrates the integration between an open-source GIS technology, named QGIS, and the Google Earth Pro programme in the mapping and analysis of electrical distribution substations. This integration shows the electrical substation data, the possible communication technology ranking, and a map that can be displayed and visualized based on the demographics. The QGIS in this study is used to reclassify the demographics into three main demographics: urban, suburban, and rural areas. On the other hand, the Google Earth Pro programme is used to map and visualize the overall electrical distribution substations alongside the communication technology ranking, based on the three main demographics. A case study using QGIS and Google Earth Pro was carried out in Area X, Malaysia for this investigation. Substation locations in Area X are mapped using Google Earth Pro, and the area’s demographics are categorized as part of the process. The features also enable the technology ranking to be displayed upon clicking the respective color-coded areas, where red represents urban area, yellow represents suburban and green represents rural This integration deems beneficial for future references on electrical distribution substations alongside the possible communication technologies.

GIS and Geospatial Approaches for Political Science Studies: Urban Development Analysis

A geographic information system (GIS) is a tool that collects, organizes, interprets, and maps different kinds of data. The geospatial method consists of the gathering, displaying, and manipulating of imagery, GPS, satellite photos, and historical data that are used with geographic models and either explicitly specified in terms of geographic coordinates. Political science studies regional, state, and national governments, political actors, political discourse in the media, and the connections between political figures and groups. In this study, Geographic Information System and Geospatial approaches for Political Science studies are used to develop Urban Development Analysis. Political scientists have been incorporating GIS technology into their statistical analyses in recent years. This study's understanding of GIS as a mix of technology, methodology, and situated social practices is the foundation of the GIS. With the development of a permanent and easily editable database in a particular area, where various types of data may be kept, merged, and graphically displayed, GIS technologies make it all this simpler. GIS allow researchers to deal with complex, multivariate, and multidimensional historical processes more successfully as well as uncover historical, political, or social issues that may not always be readily apparent when using more conventional research and analytical techniques.

Criminological Insights: A Comprehensive Spatial Analysis of Crime Hot Spots of Property Offenses in Malaysia's Urban Centers

This study examines property crime trends in Selangor, Kuala Lumpur, and Putrajaya from 2015 to 2020, utilizing Geographic Information Systems (GIS) and comprehensive crime data from the Royal Malaysia Police. It focuses on the relationship between property crime rates and the delineation of police station jurisdictions across Selangor State, Kuala Lumpur Federal Territory (KLFT), and Putrajaya Federal Territory (PFT). The objective is to understand the dynamics of property crime, its evolution, and the influence of the National Transformation Program on crime prevention strategies. By assessing the spatial distribution of property crimes, this research aims to identify underlying trends and the efficacy of hot spot policing. The analysis is underpinned by an extensive review of secondary data from the Intelligence/Operations/Records Division of the Royal Malaysia Police Headquarters, enabling a deep dive into the spatial characteristics of property crime within these regions. The findings contribute to the broader understanding of crime prevention in Malaysia, underscoring the importance of GIS technology and the need for strategic interventions tailored to specific crime patterns. This study provides critical insights for policymakers and law enforcement to formulate evidence-based strategies, enhance public safety, and inform future crime prevention efforts.

Land Use Change and Ecological Security Evaluation in Haikou City

With the continuous development of society and the acceleration of urbanization, profound changes have occurred in the utilization of land resources. Unreasonable land use and development pose serious threats to land ecological security, leading to a series of ecological security issues that constrain regional sustainable development. This study takes Haikou City as the research object and utilizes remote sensing (RS) and geographic information system (GIS) technologies to analyze the changes in land use in Haikou City from 2002 to 2022. Simultaneously, a land ecological security evaluation system is constructed based on the "Pressure-State-Response" (PSR) model. The weights of the indicators are determined by combining the Entropy weight method and the analytic hierarchy process (AHP). The TOPSIS (technique for order performance by similarity to ideal solution) method is then applied to evaluate the land ecological security index. The results indicate that during the period from 2002 to 2022, the cropland and impervious areas in Haikou City exhibited significant growth trends, while the areas of grassland, water, barren land, and forest decreased. Despite this, the comprehensive ecological security index of Haikou City showed an overall fluctuating upward trend, reaching its optimal state in 2022, with the land ecological security level improving from "Minor Warning" to "Relatively Safe". These research findings provide scientific evidence for adjusting land use policies and formulating relevant measures, and also serve as an important reference for promoting the sustainable utilization and ecological security protection of land resources in Haikou City.

Bibliometric Analysis of Geographic Information System Impact on Urban Areas Management

Geographic Information System is a global phenomenon that has revolutionized technology and is receiving much attention currently. To objectively conceptualize the research context of Geographic Information System (GIS) impact on human settlement, bibliometrix and biblioshiny software packages were applied to conduct data mining and qualitative analysis. Research papers including journals and articles in the fields of GIS and Urban Areas management spanning from 2000 to 2023 were extracted. This scientific data was extracted on 8TH January 2023 in the Publish or Perish core collection database. The results indicated that: publications fell from 2000 to 2001, however, they increased a bit in 2002. There was no significant change until 2007 when there was a slight increase in publications up to 2008. Geographic Information Systems, flood-prone areas, urban areas, suitable areas, rural areas and maps are the most frequently used keywords in the field of GIS and urban areas management in recent years. Consequently, the paper concludes that the research directions on GIS impact on human settlement management in future include the following processes and mechanisms: the application of state-of-the-art GIS technologies, the introduction of GIS crime monitoring innovations for urban centers, robust GIS simulation innovations to enhance urban resilience and digitization of human settlements for promotion of sustainable, Smart and Blue Cities. Finally, research into the creation of geo-spatial database platforms and data infrastructure for human or urban centers should be promoted. This paper aims to review the literature on the significance of GIS as a powerful tool in addressing the complexities and challenges inherent in urban environments.

Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis for resource management, geospatial technology, i.e., the use of remote sensing (RS) combined with Geographic Information Systems (GIS) proves to be highly valuable. Geospatial technology is more cost-effective and requires less labor compared to ground-based surveys, making it highly suitable for a wide range of agricultural applications. Effectively utilizing the timely, accurate, and objective data provided by RS technologies presents a crucial challenge in the field of water resource management. Satellite-based RS measurements offer consistent information on agricultural and hydrological conditions across extensive land areas. In this study, we carried out a detailed analysis focused on addressing agricultural water management issues in India through the application of RS and GIS technologies. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, we systematically reviewed published research articles, providing a comprehensive and detailed analysis. This study aims to explore the use of RS and GIS technologies in crucial agricultural water management practices with the goal of enhancing their effectiveness and efficiency. This study primarily examines the current use of geospatial technology in Indian agricultural water management and sustainability. We revealed that considerable research has primarily used multispectral Landsat series data. Cutting-edge technologies like Sentinel, Unmanned Aerial Vehicles (UAVs), and hyperspectral technology have not been fully investigated for the assessment and monitoring of water resources. Integrating RS and GIS allows for consistent agricultural monitoring, offering valuable recommendations for effective management.

Reimagining resilience: The transformative role of urban green areas in Türkiye's disaster preparedness

Ensuring the selection of appropriate sites for temporary shelters is critical to efficient disaster management and recovery efforts. This study evaluates the suitability of using urban green spaces in Uşak, Türkiye, as temporary settlements following a disaster. Our research predominantly focuses on assessing 240 parks located in the city center to determine their potential suitability as temporary shelter sites using Geographic Information System (GIS) technology and the Analytic Hierarchy Process (AHP). The study encompasses four key phases: an extensive review of existing literature, the determined criteria and sub-criteria, data collection, the generation of criteria maps, and a suitability analysis.Our findings indicate that out of the total area spanning 2.2 km2, 0.29 km2 is categorized as "Not Suitable," 1.06 km2 falls into the "Marginally Suitable" category, 0.78 km2 is identified as "Moderately Suitable," and 0.07 km2 are considered "Highly Suitable.". This data further reveals that among the 240 parks under scrutiny, 24 are classified as "Unsuitable," 78 as "Marginally Suitable," 117 as "Moderately Suitable," and 10 as "Highly Suitable."This research significantly enhances our understanding of the potential utilization of urban green spaces as shelter locations. It lends substantial support to developing sustainable solutions for assisting post-disaster stakeholders.

Geographic Information System (GIS) Application in Soil Fertility Management: A Review

As the global population expected to reach 10 billion by 2050 and arable land decreases, innovative soil management strategies are required to maximize agricultural productivity while preserving natural resources. GIS, as a powerful technology, offers a comprehensive solution by enabling the collection, storage, analysis, and visualization of spatial data for agricultural purposes. By integrating GIS with sensors, communication technologies, and data analytics, precision agriculture is possible, allowing for efficient use of agricultural inputs and reduced environmental impact. GIS technology facilitates the simulation and modeling of biological ecosystems, providing valuable insights for sustainable soil management. It has diverse applications in agriculture, ranging from soil nutrient mapping to yield estimations and runoff detection. GIS works by overlaying various layers of information onto digital maps, allowing for the identification of relationships and patterns that are crucial for optimizing soil fertility. Detailed maps created through GIS highlight the distribution of soil nutrients, pH levels, and moisture content, enabling informed decision-making on fertilizer use, irrigation techniques, and land management practices. By harnessing the power of GIS, farmers and land managers can make data-driven decisions that maximize agricultural productivity, conserve resources, and protect soil health for future generations. The integration of GIS with other technologies further enhances its effectiveness in soil fertility management. Overall, GIS is a valuable tool for understanding and managing soil fertility, contributing to sustainable agriculture and food security.

Spatiotemporal mapping of urban trade and shopping patterns: A geospatial big data approach

The economic viability of an urban area in terms of trade and shopping significantly impacts its residents’ quality of life and is crucial for any sustainable development initiative. Geographic information systems (GIS) are well established, but the use of GIS technology within finance and trade analysis is still in its infancy. In this article, we highlighted the potential of GIS technology and big data analytics and demonstrated the importance of thinking in spatial terms for analysing patterns within the trade and finance industries. We studied spatiotemporal trade and shopping patterns in the city of Tabriz using data generated by customer purchase transactions obtained from 5200 stores, shopping, business and service centres. We employed time series transaction data collected from the points of sale in stores, shopping, service and business centres located in different areas of the city. We applied four well known geospatial big data driven approaches including machine learning nearest neighbour, kernel density estimation, space–time pattern mining and spatiotemporal coupling tele-coupling for detecting and mapping of spatial trade hotspot patterns. The results of this study indicated the potential of GIScience methods for the explicit spatial mapping of trade and shopping patterns. The results revealed that the city centre, particularly the Bazaar of Tabriz, acts as the city’s heart of trade, and we identify additional major business hotspots. Furthermore, the results allow for studying the impacts of unbalanced urban development in Tabriz, where the wealthy suburbs with high quality of life, such as Valiasr and Elguli, host the major shopping hotspots. The spatial patterns obtained enable local stakeholders, decision makers and authorities to develop strategic plans for urban sustainable development in Tabriz. The geospatial big data approach used can stimulate novel and progressive research. Results of this study demonstrate methodological advancements in GIScience by ’spatializing’ individual purchase data and therefor proposing an explicit geospatial big data analysis approach.

GIS-BASED REAL-TIME GAS LEAK DETECTION SYSTEM AT BASKENT NATURAL GAS DISTRIBUTION COMPANY

Abstract. Natural gas has been used for heating and production purposes in Turkey since 1987, and every passing year, the natural gas pipeline network continues to expand with investments. The distribution of natural gas within urban areas is achieved through a complex network structure formed by the joining of Polyethylene (PE) and Steel (ST) pipes using various connection elements. This complex structure is susceptible to deformation over time due to various reasons such as corrosion in steel lines, manufacturing errors in connection elements in PE lines, and other factors. As a result, natural gas leaks occasionally occur in these pipelines. The leakage control process in natural gas pipelines is carried out using specially designed equipment and vehicles equipped for this purpose. However, while these systems may be sufficient for collecting the necessary data for leak detection, the complex structure of the distribution network and the necessary data for leak detection, the complex structure of the distribution network and the necessity of performing this process with multiple teams bring about many challenges in terms of tracking, management, and reliability of the operation. At this point, the advancement of GIS (Geographic Information System), mobile, and communication technologies has made it possible to overcome these challenges. In this study, a real-time GIS-supported leak detection system developed using these technologies for Başkent Natural Gas Distrubition Inc. (Başkentgaz), which provides natural gas distribution services in Ankara, has been described. The study discusses the benefits brought by this system to the natural gas leak detection process.

Web-Based Geographic Information System for Location Based Healthcare Service Delivery within Akure Metropolis

Purpose: This research project addresses the pressing issue of healthcare access within Akure Metropolis, Nigeria, through the development of a web-based Health Geoinformation System (HGS). Akure, like many urban centers in developing countries, faces significant challenges in healthcare delivery, including uneven distribution of facilities and limited access to reliable health information. In response to these challenges, this study leverages Geographical Information System (GIS) technology to create an innovative solution aimed at enhancing accessibility and information dissemination. Grounded in the context of Nigeria's healthcare system, the research identifies the need for an integrated approach to address the complex spatial dynamics of healthcare provision.
 Materials and Methods: Methodologically, the project combines primary data collection on the characteristics of health facilities in Akure with secondary data sources, including existing health records. A total of 100 healthcare facilities were located and identified for this study, with comprehensive information collected through three sets of questionnaires directed to healthcare facility managers and professionals, hospital management bodies, and the public. The data collection process employed Binary Logistic Regression to test research hypotheses, with charts utilized to represent public responses to the posed questions. Spatial representation and analysis were central to this study, with techniques such as Nearest Neighbor Analysis employed to assess the distribution and accessibility of health facilities.
 Findings: The results from this analysis revealed significant spatial patterns and disparities in healthcare facility distribution within Akure Metropolis. Notably, the study found that a developed web-based system having user-friendly functionalities like facility search, mapping, and route selection, among others, aids individuals in making informed decisions about their healthcare options.
 Implications to Theory, Practice and Policy: The results underline the potential of web-based systems to enhance healthcare access and decision-making processes in urban areas like Akure and further emphasize the significance of incorporating GIS technology into healthcare service delivery.

Land suitability studies for paddy cultivation in Dadahup Swampy Irrigation Area

The Dadahup Swampy Irrigation Area is crucial in the government’s Food Estate initiative to enhance food security in Indonesia. Following extensive infrastructure improvements, including network rehabilitation and gate construction between 2020 and 2022, a pilot project was initiated in block A5. However, rice yields in this area still need to improve, primarily due to inadequate land management practices. This study evaluates and maps land suitability for paddy cultivation in the Dadahup Swamp Irrigation Area, employing a combination of laboratory data and field research integrated with geographic information system (GIS) technology. Various parameters were considered, such as climate factors (temperature and water availability), soil characteristics (drainage, texture, depth), peatland attributes (thickness, maturity), nutrient content (CEC, base saturation, pH, C-organic), available nutrients (nitrogen, phosphorus, potassium), salinity, alkalinity, pyrite depth, and inundation levels during planting. Then, thematic raster mapping was conducted using the Inverse Distance Weighted (IDW) method, followed by reclassification based on Food and Agriculture Organization (FAO) standards for land evaluation. The result categorized Block A5 into three suitability classes: S1 (highly suitable), S2 (moderately suitable), and S3 (marginally suitable). Approximately 22.5% of Block A5 is highly suitable (S1), 39.5% is moderately suitable (S2), and around 38% is marginally suitable (S3).

The zoning of flood disasters by combining tidal flood and urban flood in Semarang City, Indonesia

Semarang City, situated along the northern coastal region of Java Island, Indonesia, grapples annually with the dual challenges of tidal flooding and urban inundation. Establishing a comprehensive flood disaster zoning for both tidal floods and urban inundation to identify priority areas for effective flood mitigation and reducing disaster risk. This study aims to assess the potential inundation of tidal floods, urban floods, and their combined impact on Semarang City, using an integrated approach that combines Geographic Information System (GIS) technology with the Analytic Hierarchy Process (AHP). By leveraging data from Digital Elevation Model Nasional (DEMNAS), Google Earth, Rupa Bumi Indonesia (RBI) maps, and the Open Street Map (OSM) database, we obtained elevation, landcover, distance to the river, buildings, and administration data, which were used as criteria in the analysis. The research findings unveil three distinct flood inundation scenarios within Semarang City: tidal floods, urban floods, and a combination of both. Each scenario is categorized into low, medium, and high levels of inundation, providing a granular assessment of flood risk across the city. Importantly, the study extends beyond spatial analysis to evaluate the impact of inundation on affected buildings. The results indicate that the area inundated by the combination of tidal and urban floods is as follows: 86.87% high inundation, 13.12% moderate inundation, and 0.01% low inundation.

Geographic Information Systems—A Scavenger Hunt for Accounting and Auditing

ABSTRACT This experiential exercise provides an opportunity for students to learn how accounting and audit practices can be augmented using Geographic Information Systems (GIS). We illustrate how GIS aids in the collection of accounting data, verification of assets, risk assessment, and internal controls. Using a GIS field collection app, the students were provided a list of assets to locate and audit at their college/university. After completing the exercise, 70 senior-level accounting students at a public university provided feedback related to their experience and the effectiveness of GIS as a data collection and audit tool. The results of the questionnaire revealed that students found the GIS technology useful in data collection and analysis for both accounting and auditing, as well as for reinforcing the audit concepts taught in the classroom. Data Availability: Efficacy data are available from the authors upon request.

Drought zone monitoring with remote sensing technology in Metro City, Indonesia

Background: Lampung Province, Indonesia, is prone to drought, with 232 villages experiencing drought in recent years according to data from the Central Statistics Agency (BPS). Metro City, a region within Lampung Province, is particularly susceptible to drought, as evidenced by a decrease in agricultural production due to drought conditions observed during a three-month period (December 2021–February 2022). Despite the agricultural sector being a crucial economic driver in the region, drought poses significant challenges. Remote Sensing and Geographic Information Systems (GIS) technologies offer efficient methods for identifying drought-prone areas with precision and accuracy. Methods: This research employs digital image processing techniques, specifically image transformation using various vegetation index algorithms such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Drought Index (NDDI). Landsat 8 OLI satellite imagery is utilized for data analysis, with Quantum GIS serving as the primary application for image processing. Findings: The research findings reveal the distribution of drought-prone zones on agricultural land in Metro City. Conclusion: The Central Metro District exhibits the lowest severity of drought classification, with an agricultural land area of 68.88 hectares classified as experiencing very severe drought. Conversely, the North Metro District is identified as having the most severe drought conditions, encompassing an area of 537.69 hectares.

Characterization of Spatial and Temporal Evolution of Study Tour Bases in Zhejiang Province

The purpose of this paper is to study the spatial and temporal evolution characteristics of study travel bases in Zhejiang Province in the past decade, with a view to providing useful references for the development of study travel. First, the number, distribution and changes of study and learning travel bases in Zhejiang Province were sorted out by collecting and analyzing relevant data. Secondly, the spatial distribution and evolutionary trend of study tour bases are visualized using geographic information system (GIS) technology, and the spatial evolutionary characteristics of the distribution of study tour bases are summarized. Finally, the main factors affecting the spatial and temporal evolution characteristics of study and learning travel bases are discussed in the context of the actual situation, including tourism resources, traveler reception capacity, and socio-economic conditions. The study found that: 1) overall number growth of study and learning travel bases in Zhejiang Province from 2013 to 2023 can be divided into three stages. 2) There are obvious differences in the development of study and research travel bases between regions, Hangzhou has been in a dominant position, Ningbo and Wenzhou are developing rapidly, and the development of Huzhou, Jinhua and Lishui is relatively stable. 3)Zhejiang research and study travel bases are evolving towards the agglomeration form and are further strengthening. 4)Zhejiang research and study travel bases have shown a gradual change from scattered "patchy" to "patchy". 5)spatial pattern of the distribution of study and travel bases shows a north-south direction, and its center of gravity is relatively stable.

"Integrated Geospatial Solutions for Enhanced Kukadi River Basin Delineation using Remote Sensing and GIS Techniques"

This study offers an innovative approach to enhance the precision and accuracy of the delineation of the Kukadi River Basin by integrating cutting-edge geospatial technologies, particularly Remote Sensing (RS) and Geographic Information System (GIS) methods. Due to its varied topography and land cover, the Kukadi River Basin play a crucial hydrological entity in the area which presents difficulties for standard delineation techniques. High-resolution satellite imagery is used in the study to provide exact information on land cover in the Kukadi River Basin. The work aims to extract comprehensive land cover data by utilizing spectral analysis and image classification techniques, which are part of RS. In order to improve the delineation of the Basin borders, this data is seamlessly integrated with GIS spatial analytic tools, which also incorporate digital elevation models, slope, and other terrain metrics. The research findings demonstrate the possibility of combining RS and GIS technology to overcome the challenges associated with varying terrains, hence furthering the improvement of Basin delineation approaches. The results provide a useful and dependable paradigm for defining river Basin in a variety of geographical contexts, which is important for water resource management, Environmental Conservation, Land use planning, decision-makers, researchers, and practitioners working on hydrological studies.

Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT model

Abstract The driving effect of global climate change (CC) on the ecohydrological process was quantitatively evaluated. Based on Geographic Information System technology, a Soil and Water Assessment Tool model suitable for watershed hydrological simulation was constructed to study the impact of climate and land-use change on runoff in the Second Songhua River (SSR) basin. Within the base period (1965–2010), the annual average temperature (AAT) of the SSR basin is 4.2 °C. Under the CC scenario representing concentration pathway (RCP) 4.5, the AAT of the watershed increased to 5.4 °C between 2020 and 2049. Under the CC scenarios of RCP 8.5 and RCP 4.5, the temperature in the watershed increased by 1.1 and 0.2 °C in June, respectively. The research results indicate that (1) there is a positive correlation between runoff and precipitation in the SSR watershed, and a negative correlation with temperature; (2) when the precipitation remains unchanged, the temperature increases by 1 °C and the runoff decreases by 7.2%; and (3) when the temperature remains constant, for every 10% increase in precipitation, the runoff increases by 30.5%. This study provides the scientific basis for water resource planning and sustainable development in the Northeast region and has important practical significance.

Investigating the walkability of primary, secondary and K-12 schools across metropolitan Perth, Western Australia

Having a walkable built environment is important to encourage active school transport. The aim of this study was to measure the walkability of all Perth, Western Australia (WA) schools and investigate whether differences in walkability exist by school type, socioeconomic status (SES) and/or subregion. Geographic Information Systems technology was used to measure walkability (i.e., traffic exposure and pedestrian connectivity) surrounding all Perth schools (n = 651) in 2021. Walkability scores and their individual components were compared using odds ratios and one-way ANOVAs with post-hoc comparisons by school type (primary, secondary and K-12; government and non-government), school SES and subregion. The majority of Perth schools (73.8%) were below the WA Planning Commission’s target for a walkable catchment area. Neighbourhoods surrounding high SES schools were significantly more walkable than neighbourhoods surrounding medium and low SES schools (mean walkability scores: 12.4, 10.5, 10.1, respectively, p < .001). Neighbourhoods surrounding schools located in the Central subregion (mean 12.3) were significantly more walkable than neighbourhoods surrounding schools located in the North-West (mean 11.0, p = .024), South Metropolitan (mean 10.0, p < .001) and North-East (mean 8.4, p < .001) subregions. No significant differences in walkability index scores were found for school type. This study found a large proportion of Perth schools were surrounded by disconnected street networks and that neighbourhoods surrounding high SES schools were, on average, more walkable than neighbourhoods surrounding medium and low SES schools. The results highlight the importance of modifying the built environment to increase opportunities for active school transport, particularly in low and medium socio-economic areas.

Supporting Asset Management with GIS and Business Intelligence Technologies: The Case Study of the University of Turin

Despite the promising outcomes achieved over time in Asset Management, data accessibility, correlation, analysis, and visualization still represent challenges. The integration, readability, and interpretation of heterogeneous information by different stakeholders is a further concern, especially at the urban scale, where spatial data integration is required to correlate virtual information with the real world. The Geographic Information System (GIS) allows these connections, representing and digitizing extensive areas with significant benefits for asset analysis, management, and decision-making processes. Such benefits are central for managing large and widespread university campuses as they are comparable to small cities, covering a wide urban region and including resources highly integrated into the urban context. The paper presents how GIS integrated into Business Intelligence (BI) tools can support university Asset Management System (AMS) creation for the optimal use of resources, illustrating the University of Turin case study. The results discussion considers the relationship between the different elements of the assets and their synergy with the city. It focuses on four themes, dealing with the asset identification of buildings and resources, especially the educational ones, asset spatiotemporal evolution, and buildings’ distances for proximity analysis. The benefits achievable through the AMS, related challenges, and possible future developments are highlighted.