Information System Platform Research Articles

Development of a Tourist Information System for the City of Pedernales, Manabí

Objective: This study aims to design a Tourist Information System (TIS) for the city of Pedernales. Theoretical Framework: In today's digital age, information has become increasingly accessible. With just a click, people can now purchase airline tickets. Society is constantly consuming information through digital means. It is undeniable that tourists seek information about their desired destinations, whether through a tourist information system or social media platforms like Facebook, Instagram, Twitter, and YouTube. Method: This research employed a field study approach, involving 375 surveys administered to tourists. Results and Discussion: The results reveal that 96.5% of respondents indicated the utmost importance of utilizing a tourist information system. Research Implications: A proposal was developed to design a Tourist Information System for the city of Pedernales, aiming to provide information to visitors. Originality/Value: This research offers an original contribution to the field of tourism by focusing on the design of a specific Tourist Information System for the city of Pedernales. Its value lies in the extensive field research conducted, which allowed for the identification of the specific needs of tourists and the design of a tailored solution. Beyond its relevance to local tourism development, this research contributes to the academic understanding of tourist behavior in the digital age and can serve as a model for future studies in sustainable tourism.

Assessing the quality of data for selected reproductive health indicators in designated public health facilities in Bangladesh.

An effective health management information system plays a pivotal role in evidence-based decision-making and strengthening health service delivery in a country. The Directorate General of Health Services and the Directorate General of Family Planning of Bangladesh have adopted digital health management information system platforms named district health information system and management information system, respectively. Despite its significance, health management information system data has numerous issues, such as missing values, inaccuracies, lack of internal consistency, and the presence of outliers. This study aims to assess the data quality of reproductive health indicators in the health management information system of the Directorate General of Health Services and the Directorate General of Family Planning. The study examined two aspects of data quality: a) completeness of data, subdivided into completeness of facility reporting (report submission rate) and completeness of indicator data (presence of missing values); b) internal consistency of reported data, subdivided into presence of outliers, inter-indicator consistency, and consistency between reported data and original records (accuracy rate). The study utilised retrospective monthly data gathered from July 2021 to June 2022, covering 21 reproductive health indicators. Multi-stage cluster sampling was employed to select 112 health facilities for data collection, including 48 facilities from Directorate General of Health Services and 64 from Directorate General of Family Planning, representing various administrative levels across the country. The report submission rate for Directorate General of Health Services facilities was 98%, while for the Directorate General of Family Planning facilities, it was 86%. However, 35% of data points were missing in the district health information system server of Directorate General of Health Services, whereas no missing values were observed in the management information system server of Directorate General of Family Planning. Less than 3% of outliers were detected in the server data of both directorates. Inter-indicator consistency was maintained at a high rate of 98% in health facilities under both directorates. The accuracy of reported data varied across indicators and facility types: Directorate General of Health Services facilities showed accuracy rates ranging between 75 and 92%, with an aggregated rate of 86%. Different tiers of the Directorate General of Family Planning facilities had accuracy rates ranging from 92 to 96%. This research emphasises the significance of rectifying missing values, ensuring consistency, and improving reporting systems, with a particular focus on lower-tier health facilities, to enhance the validity and reliability of reproductive health data in Bangladesh.

User Experience in Information System Platforms: A Study on Learning Styles and Academic Challenges

Understanding student academic struggles and improving the use of information system platforms are essential for enhancing higher education. This study aims to examine how course management and student learning patterns affect higher education, particularly in the context of escalating academic challenges and competition in China. Using a quantitative-method approach, this research analyzes students' independent, cooperative, and inquiry learning styles to explore the relationship between course settings, student learning patterns, and academic difficulties using a 400 sample size. This study indicated that inquiry-based learning fosters critical thinking and deeper topic engagement but also provides academic challenges that can delay student progress. Inquiry-based learners struggle with time management and hard topics without institutional guidance, therefore they may not be right for all college students. The study found that current information system platforms encourage traditional or autonomous learning, which may preclude collaborative or inquiry-based learners. These platforms lack resources and adaptability to meet all learners' needs, which may harm academic success. Higher education benefits from supporting varied learning styles. To help diverse student groups overcome academic problems, information system platforms should contain more adaptive and specialist educational technologies. The study offers educators practical advice on creating a more inclusive curriculum that satisfies diverse learning needs by studying course administration and user experience. Real-time feedback and flexible modules may alleviate academic stress for inquiry-based learners. The findings also suggest that governments should promote more flexible educational technologies that can accommodate varied teaching techniques and student preferences.

Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM

As an emerging technology, digital twin (DT) is increasingly valued in bridge management for its potential to optimize asset operation and maintenance (O&M). However, traditional bridge management systems (BMS) and existing DT applications typically rely on standalone building information modeling (BIM) or geographic information system (GIS) platforms, with limited integration between BIM and GIS or consideration for their underlying graph structures. This study addresses these limitations by developing an integrated DT system that combines WebGIS, WebBIM, and graph algorithms within a three-layer architecture. The system design includes a common data environment (CDE) to address cross-platform compatibility, enabling real-time monitoring, drone-enabled inspection, maintenance planning, traffic diversion, and logistics optimization. Additionally, it features an adaptive data structure incorporating JSON-based bridge defect information modeling and triple-based roadmap graphs to streamline data management and decision-making. This comprehensive approach demonstrates the potential of DTs to enhance bridge O&M efficiency, safety, and decision-making. Future research will focus on further improving cross-platform interoperability to expand DT applications in infrastructure management.

Rockfall Mapping and Monitoring Across the Kalymnos Sport Rock Climbing Sites, Based on Ultra-High-Resolution Remote Sensing Data and Integrated Simulations

This manuscript presents a multidisciplinary study that proposes a methodology for delineating and categorizing vulnerability at rockfall risk areas to avoid human injuries and infrastructure damage caused by rockfalls. The presented workflow includes (i) classical geological mapping, (ii) the interpretation of high-resolution satellite data for observing the spatial distribution of fallen boulders, (iii) analytical hierarchy processing of spatial information within a Geographical Information System (GIS) platform, (iv) close-range remote sensing campaigns with Unmanned Aerial Systems (UASs), and (v) integrated simulation of rockfall events. This methodology was applied to Kalymnos Island, which belongs to the Dodecanese Islands complex of the southeastern Aegean Sea in Greece. It is characterized by unique geomorphological features, including extensive vertical limestone cliffs that span the island. These cliffs make it one of the world’s most densely concentrated areas for sport climbing. The results highlighted the areas that the local authorities need to focus on and suggested measures for increasing the safety of climbers and infrastructure.

A review of resistance–capacitance thermal network model in urban building energy simulations

With the increasing population and urbanization promotion, energy consumption and carbon emissions have increased, and concern for inefficient energy use and deteriorating urban environments is growing. The prediction of building energy consumption and environmental evaluation, especially at large scales, are considered to be a major challenge confronting the research community. An outstanding strategy for mitigating energy consumption and carbon emissions resides in the field of energy modeling. As a simplified building energy modeling model, resistance–capacitance (RC) network model has the applications in fast predicting building energy consumption. Notably, in recent years, there has been an evident absence of thorough review endeavors related to RC model for urban building energy loads and climate. This review systematically explores the application of low-order models and reduction methods for urban or regional energy simulation starting from the typical RC model for building. In summation, the challenges associated with employing this model for urban building energy loads and climate can be succinctly summarized as follows: the absence of a unified platform for RC modeling; insufficient readily applicable urban datasets; the need for modeling tools that facilitate cross-platform analyses in conjunction with existing Geographic Information Systems (GIS) and urban thermal environment simulation research platforms, and the essential requirement for seamless integration with other complementary modules.

Detrimental Increase of Spin-Phonon Coupling in Molecular Qubits on Substrates.

Molecular qubits are a promising platform for quantum information systems. Although single molecule and ensemble studies have assessed the performance of S = 1/2 molecules, it is understood that to function in devices, regular arrays of addressable qubits supported by a substrate are needed. The substrate imposes mechanical and electronic boundary conditions on the molecule; however, the impact of these effects on spin-lattice relaxation times is not well understood. Here we perform electronic structure calculations to assess the effects of a graphene (Cgr) substrate on the molecular qubit copper phthalocyanine (CuPc). We use a progressive Hessian approach to efficiently calculate and separate the substrate contributions. We also use a simple thermal model to predict the impact of these changes on the spin-phonon coupling from 0 to 200 K. Further analysis of the individual vibrational modes with and without Cgr shows that an overall increase in SPC between the vibrations modes of CuPc with the surface reduces the spin-lattice relaxation time T1. We explain these changes by examining how the substrate lifts symmetries of CuPc in the absorbed configuration. Our work shows that a surface can have a large unintentional impact on SPC and that ways to reduce this coupling need to be found to fully exploit arrays of molecular qubits in device architectures.

Appraising water resources for irrigation and spatial analysis based on fuzzy logic model in the tribal-prone areas of Bangladesh.

The lack of quality water resources for irrigation is one of the main threats for sustainable farming. This pioneering study focused on finding the best area for farming by looking at irrigation water quality and analyzing its location using a fuzzy logic model on a Geographic Information System platform. In the tribal-prone areas of Khagrachhari Sadar Upazila, Bangladesh, 28 surface water and 39 groundwater samples were taken from shallow tube wells, rivers, canals, ponds, lakes, and waterfalls. The samples were then analyzed for irrigation water quality parameters like electrical conductivity (EC), total dissolved solids (TDS), sodium adsorption ratio (SAR), soluble sodium percentage (SSP), residual sodium bicarbonate (RSBC), magnesium hazard ratio (MHR), Kelley's ratio (KR), and permeability index (PI). Fuzzy Irrigation Water Quality Index (FIWQI) was employed to determine the irrigation suitability of water resources. Spatial maps for parameters like EC, KR, MH, Na%, PI, SAR, and RSBC were developed using fuzzy membership values for groundwater and surface water. The FIWQI results indicate that 100% of the groundwater and 75% of the surface water samples range in the categories of excellent to good for irrigation uses. A new irrigation suitability map constructed by overlaying all parameters showed that surface water (75%) and some groundwater (100%) in the northern and southwestern portions are fit for agriculture. The western and central parts are unfit for irrigation due to higher bicarbonate and magnesium contents. The Piper and Gibbs diagram also indicated that the water in the study area is magnesium-bicarbonate type and the primary mechanism of water chemistry is controlled by the weathering of rocks, respectively. This research pinpoints the irrigation spatial pattern for regional water resource practices, identifies novel suitable areas, and improves sustainable agricultural uses in tribal-prone areas.

Revolutionizing Land-Based Vehicle Parts Management: Basis for a Unified Digital Platform for Auto Parts Information Systems

The study provides the basis for a much-needed digital platform one that is consumer-friendly by examining current practices, pain points, and stakeholder requirements. This marketplace aims to aggregate the information of all of the autoparts dealers, suppliers, distributors, and manufacturers centrally for collaboration. Our goal is to reduce TCO and time associated with data access/wait times for real-time insights around inventory management, supply chain visibility, and actionable insights. This study is designed to save the face of the land and rarity-based car parts management at the end, foster efficiency in the automotive industry while taking on sustainability. To be a highly effective, secure and scalable "Autohub System" the design is implemented using several strategies and tactics in database domain.In order to reduce redundancy, this entails using a Relational Database Management System (RDBMS) such as MySQL and implementing strategies such table definition, relationship building, and normalization. Indexing helps enhance efficiency while looking for information and to model the autoparts ecosystem we use Entity-Relationship Diagrams (ERD). For stronger security against attacks and availability of data some methods used are concurrency control, adequate back-up and recovery procedures, and encryption of data. Performance tuning and considering scalability are other topics as they focus on the efficiency of work and further increase in the company’s possibilities, whereas data auditing gives them accountability. Altogether these strategies can accurately set the database to cater for the goals that the autoparts management system has to accomplish. It’s the exact same concept with the Autohub System which revolutionizes the conventional autoparts management sector by producing IoT and predictive maintenance, making operations smoother while eliminating waste. It is beneficial for many businesses as they experience reduced costs, less downtime, and an overall increase in productivity. This is true because the indicated system enhances earth-friendly causes since the automotive industry it fosters is more competitive because of worldwide cooperation. The newly introduced system, the Autohub System, has posed a major change in the ways businesses within the autoparts management industry operate today. This is achieved through offering real-time information, supplier control and a clear and user-friendly front-end in order to ensure that it facilitates the tends, procurement and cooperation. Through sustained supplier dynamics, buy order optimization, and analytical proficiency, decision making becomes enhanced tremendously. The long-term feasibility is guaranteed by the very fact of the opportunity to expand on it and adapt to new needs. This technology takes autoparts management to a new level because it has an overall positive impact on the functions of decreasing downtime, improving supplier interaction, and improving the supply chain. Summing up, The Model T exemplifies the milestone in progress toward sustainability and efficiency that shapes the future of the automobile industry.

Kurdistan Rural Information System Platform, as a New Rural Innovation Paradigm: Local Decision-Makers Perspective

Background: This study aimed to achieve objectives through SWOT analysis and focus group discussion, identifying internal and external factors through the local decision-makers in Kurdistan Region, to explore the way to describe and analyze Kurdistan Rural information System Platform (KRISP). Problems with information in rural areas still exist in the Kurdistan region administration. The aim of this study is an attempt to develop a digital platform that will help rural communities realize their full potential and contribute to a resilient and successful digital future. The primary objectives of this project are how to design and implement an agricultural information system to collect rural data from various areas by various farmers and make it available online so that future users may eventually search for and obtain the essential data. The first category is concerned with knowledge sharing, information exchange, self-improvement, and self-improvement for grassroots extension practitioners. The study made use of qualitative data, with fixed questions. for the analysis. The achievement of primary data was also collected using a FGD’s implemented in Sulaimani governorates. The period of data collection from different study areas starting from June 2023 to September 2023 and were used in this study to collect qualitative data from a variety of government sectors (decision-makers) from various organizations were included in group discussions and gatherings to address the issues highlighted in this study.

Abstract PO5-07-12: Feasibility of organized population-based mass-level mammography screening (0.2 million women) –Report from LMIC-Uzbekistan

Abstract Background. Breast cancer is one of the leading diseases worldwide. The early detection of breast cancer is the best way to improve survival. Mammography is included in the standard guidelines of all the leading organizations. The procedure is technically demanding and cost sensitive. Despite being a standard, it is not practical in many countries, and more so in LMIC. The state of Uzbekistan embarked on a massive, unique, organized population-based program of mass-level mammography screening, starting from one region of the country and expanding to others. Here, we report the process of such establishment and the feasibility of this innovative model. Methods. Realizing the importance of breast cancer screening, the Republic of Uzbekistan initiated a pilot project in the Bukhara Region. The area is divided into 12 districts. Every district was equipped with a stationary mammography machine in a regional polyclinic and one mobile van. The personnel were appropriately trained and a selection process was established to invite women for screening. The invitation was sent using the local area's existing municipality residential directory, which contains the complete demographic details of every individual living in the area. The state has 100 % coverage in the registry. The study targeted every woman aged 45-65 starting May 2021. All mammographs were digitally recorded and sent in real time to a centralized server at the National Republican Cancer Center in Tashkent, Uzbekistan. Reporting is performed at a centralized reading center on the information system platform. The program envisages a complete care pathway, from screening to diagnosis and treatment. Results. Over a period of two years, 140506 women in the age range–45-65 underwent mammography screening. Depending on the size of the target group of the district, an average of 30-60 mammograms were performed per day. A reported preliminary analysis shows the presence of BIRADS 0 in 4495, BIRADS 1 IN 78634, BIRADS 2 in 64345, BIRADS 4 in 4998, BIRADS 5 in 893. All women with BIRADS 4 and 5 were referred to the regional comprehensive cancer center for further evaluation. A total of 7570 patients underwent cytology and 408 underwent core biopsy. Depending on the reports, the patients were appropriately managed. A total of 1885 patients were recalled for additional screening owing to their inappropriate quality. After a year of function, the project was expanded with “Mobile Vans” to other regions of the country. An additional 13 mobile mammography vans were added after 1.5 years. From January 2023, approximately 50000 mammograms were additionally performed, taking the total number of screened women to 190506. Conclusion. Thus, it is feasible to plan and successfully implement state-owned mass-level mammography screenings. This project has the potential for duplication in any part of the world, and other organizations can learn from this extensive, wide program. Citation Format: Mirzagaleb Tillyashaykhov, Aysulu Seytmuratova, Alexander Ososkov, Saide Djanklich, Yakhyo Ziyaev, Dinesh Pendharlkar. Feasibility of organized population-based mass-level mammography screening (0.2 million women) –Report from LMIC-Uzbekistan [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-07-12.

A digital twin prototype to visualize heterogeneous seismic damage simulation results on web-GIS

ABSTRACT Access to a wide range of information tailored to specific purposes, including extensive damage projections and statistics for target areas and the potential for individual building and dwelling damage predicted through simulations, enhances cities’ resilience against large-scale earthquakes. Recognizing the significance of this, we have developed a prototype of a digital twin capable of comprehensively visualizing various simulations on a web-based geographic information system (GIS) platform. This prototype employs three seismic damage simulators: the Integrated Earthquake Simulation for area damage, the wallstat for wooden houses, and the E-Simulator for a reinforced concrete building. A trial of earthquake damage simulations was conducted to assess this prototype’s efficacy, focusing on the damage incurred in Mashiki Town during the 2016 Kumamoto earthquake. The trial successfully verified the capability of the system to visualize and integrate various types of simulation data alongside records obtained from actual earthquake disasters. This paper provides an overview of the digital twin prototype. It reports on the trial’s results, focusing on the visualization and integration achieved through this trial.

Using public participation gis to understand texas coastal communities’ perceptions and preferences for urban green space development in connection to their perceptions of flood risk

Urban green spaces, a form of green infrastructure, provide cities with a number of opportunities to build urban resilience to withstand a wide range of urban challenges, such as land-use change, climate change, biodiversity loss, and physical and mental health. Despite their benefits to communities, urban green spaces are among the most valuable and attractive areas for development and are most susceptible to urban development. Therefore, careful planning of the green space network is needed,requiring diverse voices from not only city policymakers and planning experts but also local residents. This study investigated residents’ perceptions and preferences for green space development and its association with perceived flood risk. Data were collected from residents residing in two Texas Gulf Coast cities via a Public Participation Geographic Information System (PPGIS) platform. Our analyses revealed that Texas Gulf Coast residents assigned a full spectrum of landscape values to their existing urban green spaces with aesthetic and recreation values being most frequently identified. Notably, across the city landscape, urban green spaces that were most favored by residents tended to be green spaces with water bodies, large in scale and offered a broader array of facilities/amenities. These spaces were also identified as flood-prone areas, presenting opportunities for green space improvement, flood protection, and preservation. In addition, we observed a significant association between residents’ risk perception and the number of locations across the city landscape they perceived as posing the greatest flooding threat. Our findings illustrate a need to promote multiple landscape values of urban green spaces, especially in its ability to protect the city from future flooding. This research highlights how PPGIS can support green infrastructure planning as well as enhance public participation in green infrastructure planning processes.

Geoinformatics and RUSLE model-based soil erosion assessment in a tropical mountainous area of Chite watershed, Mizoram, India

Soil erosion remains a persistent menace to the sustainability of agriculture and the environment in tropical mountainous regions. Soil erosion assessment is therefore necessary to identify degraded land areas for implementing effective conservation and management strategies. Hence, this study focuses on estimating potential soil erosion and analyzing their spatial patterns in the Chite watershed, situated in the Eastern Himalayas, India, using the Revised Universal Soil Loss Equation (RUSLE) model in Geographic Information System (GIS) platform. Various datasets encompassing remote sensing, ground observations, and laboratory analysis were employed to prepare the model’s input factors. The estimated mean erosion rate of the study area is 6.10 t ha-1 year-1, which produces a total soil loss of about 357580.90 t year-1. Spatial analysis reveals that about 5.79% of the watershed is under a relatively severe erosion category, contributing 70.13% of the total soil loss. Soil erosion appraisal with respect to the land use/ land cover (LULC) indicates a considerable consequence of various anthropogenic activities in the watershed. Higher rates of soil erosion are mainly observed on the bare land, cropland, and settlement areas which are characterized by steep and continuous slopes. The present findings were also validated with previous work undertaken in some comparable regions. This research can serve as a reliable tool towards the development of successful soil conservation measures and for promoting sustainable land use planning in this ecologically sensitive tropical mountainous region.

Hydrogeophysical characterization of the Bir Guendouz basin (SW Morocco): Insights into its relations to the Senegal-Mauritanian basin

The Senegal-Mauritanian Basin onshore is the largest among the northwest African Atlantic margin basins, covering approximately 350,000 km2 and extending from Morocco to Guinea Bissau. Although valuable information is provided on the Senegalese part, data on other parts of the basin are scarce. The study aims to visualise the subsurface structure and describe the distribution patterns of Meso-Cenozoic deposits in the Moroccan portion of the Senegalo-Mauritania basin. The dataset integrates information from 750 vertical electrical soundings, hydrogeological drilling data, and wireline logging into a Geographic Information System (GIS) platform and 3D modelling software. A new three-dimensional model has been created to represent the topmost layer of the Palaeozoic substratum. Additionally, thickness maps and geo-electric profiles have been developed for distinct geo-electric intervals, including the lower, middle, upper, and surface layers. The study presents the geometric properties of two aquifers, namely, the ''upper and lower'': the Continental Terminal sandy and sandstones, dating back to the upper Miocene to Pliocene period, and the Paleocene sand to shaly sand. The upper aquifer has a thickness of 20 m in the eastern region, whereas it thickens to nearly 100 m towards the west, approaching the coastline. Similarly, the lower aquifer's thickness ranges from 100 m to 400 m in the same direction. The resistivity values range from 5 to 240 Ω m, providing an average of 120 Ω m. Four discontinuities have been identified in the sections, which may indicate lateral facies modifications or synsedimentary faults, correlating with Atlantic margin structuration and Meso-Cenozoic sea-level variations. The parameters' range for various mappings, models, and quantitative descriptions of reservoir properties. The new structural and hydro-stratigraphic model provides novel insights for researching this critical area.

Integration of Remote Sensing and Aerogeophysical Data Applied in the Geological Characterization of the Ipueira-Medrado Segment, Andorinhas/BA

The segment of the Ipueira-Medrado mines constitutes two of the main chromium mines operated by Companhia Ferro-ligas da Bahia (Ferbasa). The research area is located in the municipality of Andorinhas, in the north center of the state of Bahia, in the Piemonte Norte Do Itapicuru region. Therefore, the main objective of the present work is the use of Remote Sensing and Aerogeophysics data to elaborate the geological map of the study area and highlight new target areas for mineral research. The Digital Image Processing (PDI) stage was carried out in an environment in the ENVI® 5.3 software for the scenes of the optical Alos and radar images, Palsar. The treatment of magnetic and radiometric data was carried out in the environment of the software Oasis Montaj 9.10 by Geosoft®. In the Geographic Information System (GIS) platform of ArcGis 10.7.1®, multisource data was integrated. This integration supported the screening of information from local lithologies and the identification of four lithological units: Sienito Itiúba, Santa Luz Unit, São Bento Unit and Jacurici Valley Complex. In this last unit, a combined analysis between Map Algebra and Fuzzy logic was applied to all input raster data, in order to mark out a zoning of potential areas for the occurrence of mafic-ultramafic rocks. In the end, a good relationship was noted between the results obtained with models that already exist in the bibliography. In view of this, the application of the methodology developed in this research requires more robustness for the local geological knowledge, as it will also help in the development of new mineral research endeavors.

Social Media, Mobile Payment, and Mobile Gaming for Intentional and Behavioral Recommendations

During the corona virus disease 2019 (COVID-19) pandemic, the Internet-based zero-contact economy model has increased people’s online social, entertainment, and business activities. Social media are social network platforms that support users’ social interaction to foster an information society. Mobile gaming refers to the use of mobile terminal devices for online entertainment. The combination of mobile payment and social media provides online users with an integrated information system platform for socializing, mobile gaming entertainment, and payment. A recommendation system filters information to predict a user’s rating or preference for a product/service. With recent advances in computer science, recommendation systems are gradually moving to develop intentional and behavioral recommendations. Thus, this study implements data mining analytics, including clustering analysis and association rules, to investigate mobile gaming, mobile payment, and social media preferences in Taiwanese gaming players. This study first finds several meaningful clusters/patterns/rules to present research findings and practical implications for intentional and behavioral recommendations (N = 2326).

A dataset of recorded electricity outages by United States county 2014–2022

In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy Information (EAGLE-ITM), a geographic information system and data visualization platform created at Oak Ridge National Laboratory to map the population experiencing electricity outages every 15 minutes at the county level. Although these data do not cover every US customer, they represent the most comprehensive outage information ever compiled for the United States. The rate of coverage increases through time between 2014 and 2022. We present a quantitative Data Quality Index for these data for the years 2018–2022 to demonstrate temporal changes in customer coverage rates by FEMA region and indicators of data collection gaps or other errors.

An innovative approach for equitable urban green space allocation through population demand and accessibility modeling

Urban green space (UGS) plays a pivotal role in enhancing citizens' living standards, well-being, and overall physical and mental health. As urbanization continues to progress, ensuring equitable access to UGS becomes increasingly vital in addressing the social resource disparities. This paper proposes an innovative approach to inform UGS planning and updates, placing a strong emphasis on equitable UGS distribution. In pursuit of a more balanced UGS layout, we present a novel recreational demand model that can evaluate the citizen's recreational preferences by taking into account the population activity levels and the agglomeration effect. Leveraging point of interest (POI) data within the geographic information system (GIS) platform, we quantitatively analyze these factors. Additionally, we propose a refined resistance model, enhancing the accuracy of UGS update cost estimation. Applying these models, we undertake a case study in Changsha City to advance UGS update strategies. Our findings reveal disparities not only across different city sectors but also within individual spaces, underscoring the unequal distribution of diverse UGS resources. The proposed models can effectively guide the incorporation of new UGS points in urban planning, mitigating the challenge of inequitable UGS resource allocation. The study provides a new approach to more comprehensively evaluate the UGS quality and offers additional valuable insights for improved UGS planning, and therefore, contributes to fostering a more just, inclusive and sustainable urban environment.

Assessing Riverbank Change Caused by Sand Mining and Waste Disposal Using Web-Based Volunteered Geographic Information

River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste disposal can lead to river changes, loose foundations, and biodiversity loss. This study aims to develop a web-based geographic information system (GIS) platform to monitor river channel changes and their impacts on river environments due to sand mining and waste burial. The system integrates open-source software, Windows Server 2012, a web server, and PostgreSQL with PostGIS plugins for efficient mapping and storage of geospatial data and volunteered reporting of location events. Interferometric methods, including SNAP2STAMPS Automated Algorithm, persistent scatterer interferometry (PSI), small baseline subset (SBAS), and Snap software, were used to analyze spatial changes of subsidence from Sentinel-1 satellite data from 2021 to 2023 in the Gadar River in Oshnavieh, Iran. The results showed that the maximum subsidence at the riverbank was −10.1 cm due to sand mining, and the maximum uplift was 8.2 cm due to waste landfilling. The average subsidence was reported to be −5.1 cm. The results emphasize spatial analysis, showcasing material mining’s impact on subsidence trends and underscoring the significance of public participation in monitoring river health. Three parameters—completeness, correctness, and quality—were used to validate the system. Validation results showed completeness, correctness, and quality rates of 94.15%, 92.48%, and 86.63%, respectively.