Geographic Information System Software Research Articles

Physical Characteristics Influencing Space Usage and Pedestrian Behaviour in Public Space

Analyzing pedestrian movement in urban spaces contributes to understanding how these spaces function. In this study it is revealed by investigating the key questions: (1) From where do the main pedestrian flows come? (2) How does the pedestrian movement depend on the depth of view and spatial situation?A visual programming platform and a geographic information system software, namely Grasshopper and QGIS, are used for this analysis which has numerous plug-ins for assessing spatial arrangements. Personal observation helps to understand how to do the analysis correctly and, simultaneously validate the result of the software calculations.The location of the case study, Dunaújváros, is a major Hungarian city, mainly developed during Socialism. Its historical background explains the transformation related to public spaces’ usage in the city.As a result of the analysis, the main features and problems of the Városháza square in Dunaújváros are determined, and possible solutions are offered for its improvement. More importantly, the existing methodologies for public space assessments were developed further by including the effects of pedestrian behaviour, which can be used for evaluating any other public space.

Spatial Accessibility to Primary Healthcare Facilities in Iran: A GIS-Based Approach

Background: Primary healthcare facilities are essential to provide healthcare to individuals and the society closer to home. Fast, timely, and affordable access to these centers is important in each society. This is especially crucial to prevent and control the epidemics of non-communicable diseases that are highly affecting populations in urban settings. This study aimed to assess spatial accessibility to primary healthcare facilities in Yazd city (Iran), using a Geographic Information System (GIS).
 Methods: In this descriptive-analytical study, which was conducted cross-sectionally in 2022, locational information related to primary healthcare centers, population distribution, and urban zoning of Yazd city were collected and recorded in Excel format. Then, distribution maps of each of the studied uses were determined. Then, the existing indicators and standards regarding the uses were determined through documentary studies, and a geographic database was formed through the GIS software collection. Data were analyzed using indicators and models such as hot spot analysis, Thiessen's polygons algorithm, access model based on the two-step floating catchment area, and the average distance model of the nearest neighbor.
 Results: The results indicated that the comprehensive health centers in Yazd city are located next to each other with a scattered distribution pattern, and are away from each other by an average distance of 1131 meters. Also, the distance of urban health posts from each other is 1045 meters on average, and are randomly located next to each other. The main concentration of the distribution of primary health care facilities is observed in the central and traditional regions of the city, which, according to the hot spot analysis, are among the cold and low population density spots. In addition, the access score of the regions indicates that the distribution of these facilities is not according to the population density, and the highest functional pressure of comprehensive health centers as well as urban health posts is observed in the regions where there is the least access to these facilities.
 Conclusion: There is a disparity between the distribution of primary healthcare facilities and population density in Yazd city, Iran. This study provides significant evidence to local health policymakers and urban planners to design more efficient actions related to equal development of health infrastructure by using the GIS.

A One-Dimensional Blocking Index Becomes Two-Dimensional Using GIS Technology

Many previous studies of the occurrence of blocking anticyclones, their characteristics, and dynamics have defined the onset longitude using the one-dimensional zonal index type criterion proposed by Lejenas and Okland. In addition to examining the blocking event itself, the onset longitude was determined to start at the nearest five degrees longitude using the National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalyses that were used to identify the events. In this study, each blocking event in the University of Missouri Blocking Archive was re-examined to identify an onset latitude, and this information was added to the archive. The events were then plotted and displayed on a map of the Northern or Southern Hemisphere using Geographic Information System (GIS) software housed at the University of Missouri as different colored and sized dots according to block intensity and duration, respectively. This allowed for a comparison of blocking events in the archive above to studies that used a two-dimensional index. Then the common onset regions were divided by phase of the El Nino and Southern Oscillation (ENSO), and the typical onset of intense and persistent blocking events could be examined. The results found a favorable comparison between the onset regions identified here and those found in previous studies that used a two-dimensional blocking index. Additionally, there was variability identified in the onset regions of blocking in both hemispheres by ENSO phase, including the location of more intense and persistent events.

Investigation of spatial pattern of apnea disorder using geographic information system (GIS)-case study of Kermanshah metropolis.

Apnea disorder is influenced by social and environmental factors. By assessing its hot spots and geography, the foci of this disorder and its at-risk groups can be identified for health interventions. This study was conducted to investigate the spatial pattern of apnea disorder using GIS in the Kermanshah metropolis. In cross-sectional study was conducted in kermanshah, the statistical population were 119 people (73.95% male and 26.05% female) of Kermanshah residents, which referred to the sleep center from 2012 to 2018 due to apnea disorder. Information was collected from the records of patients referred to the Sleep Disorder Center of Farabi Hospital, which is the only service center in the west part of Iran. The statistical tests were the mean center, standard distance, Getis-Ord Gi * index, nearest neighbor index, and kernel density estimation test in GIS software. The spatial pattern of patients with apnea disorder has cluster formation in the Kermanshah metropolis. The age group of 50-54 had more apnea disorder than other age groups. In this age group, women were more prone to apnea than men. In terms of education, people with high education are more affected by this disorder; So that with the increase in education level, apnea disorder had also increased. Also, the findings showed that the disorder was more common in unemployed, married, overweight people with BMI (25-30), and obese people (30-40). The spatial pattern of patients with apnea disorder was clustered and does not correspond to the high population density centers located in the marginal and slum areas of the city. These can be used by stakeholders, including governmental organizations and health authorities at the national-regional level.

Discovering the spatial locations of the radio frequency radiations effects around mobile towers

<span lang="EN-US">Nowadays, smart devices have become a major part of human life, and this need has led to an increase in the demand for these devices, prompting major telecommunications companies to compete with each other to acquire the bulk of this market. This competition led to a significant increase in the number of mobile towers, to expand the coverage area. Each communication tower has transmitters and receivers to connect subscribers within the mobile network and other networks. The receivers and transmitters of each mobile tower operate on radio frequency waves. These waves can cause harm to humans if the body tissues absorb the radiation resulting from these waves. Headache, discomfort, and some other diseases are among the effects resulting from the spatial proximity to the mobile towers. In this paper, a model based on geographic information systems (GIS) software is proposed for the purpose of discovering the area of exposure to radio frequency radiation. This model can assists mitigate the opportunities of exposure to these radiations, thus reducing its danger. Real data of the levels of electromagnetic pollution resulting from mobile towers were analyzed during this study and compared with international safety standards.</span>

LiDAR-Derived Relief Typology of Loess Patches (East Poland)

The application of the automated analysis of remote sensing data processed into high-resolution digital terrain models (DTMs) using geographic information systems (GIS) tools provides a geomorphometric characterization of the diversity of the relief of loess patches over large areas. Herein, a quantitative classification of 79 loess patches with a total area of 3361 km2, distributed within the eastern part of the Polish Uplands belt, is carried out. A high-resolution 1 × 1 m DTM was generated from airborne laser scanning (ALS) data with densities ranging from 4 pts/m2 to 12 pts/m2, which was resampled to a resolution of 5 × 5 m for the study. This model was used to classify landform surfaces using the r.geomorphon (geomorphon algorithm) function in GRASS GIS software. By comparing the values in the neighborhood of each cell, a map of geomorphometric features (geomorphon) was obtained. The classification and typology of the relief of the studied loess patches was performed using GeoPAT2 (Geospatial Pattern Analysis Toolbox) software. Pattern signatures with a resolution of 100 × 100 m were extracted from the source data grid, and the similarity of geomorphological maps within the signatures was calculated and saved as a signature file and segment map using the spatial coincidence method. The distance matrix between each pair of segments was calculated, and the heterogeneity and isolation of the maps were generated. R system was used to classify the segments, which generated a dendrogram and a heat map based on the distance matrix. This made it possible to distinguish three main types and eight subtypes of relief. The morphometric approach used will contribute to a better understanding of the spatial variation in the relief of loess patches.

Characterization of prehospital time delay in primary percutaneous coronary intervention for acute myocardial infarction: analysis of geographical infrastructure-dependent and -independent components

BackgroundPrehospital delay in reaching a percutaneous coronary intervention (PCI) facility is a major problem preventing early coronary reperfusion in patients with ST-elevation myocardial infarction (STEMI). The aim of this study was to identify modifiable factors that contribute to the interval from symptom onset to arrival at a PCI-capable center with a focus on geographical infrastructure-dependent and -independent factors.MethodsWe analyzed data from 603 STEMI patients who received primary PCI within 12 h of symptom onset in the Hokkaido Acute Coronary Care Survey. We defined onset-to-door time (ODT) as the interval from the onset of symptoms to arrival at the PCI facility and we defined door-to-balloon time (DBT) as the interval from arrival at the PCI facility to PCI. We analyzed the characteristics and factors of each time interval by type of transportation to PCI facilities. In addition, we used geographical information system software to calculate the minimum prehospital system time (min-PST), which represents the time required to reach a PCI facility based on geographical factors. We then subtracted min-PST from ODT to find the estimated delay-in-arrival-to-door (eDAD), which represents the time required to reach a PCI facility independent of geographical factors. We investigated the factors related to the prolongation of eDAD.ResultsDBT (median [IQR]: 63 [44, 90] min) was shorter than ODT (median [IQR]: 104 [56, 204] min) regardless of the type of transportation. However, ODT was more than 120 min in 44% of the patients. The min-PST (median [IQR]: 3.7 [2.2, 12.0] min) varied widely among patients, with a maximum of 156 min. Prolongation of eDAD (median [IQR]: 89.1 [49, 180] min) was associated with older age, absence of a witness, onset at night, no emergency medical services (EMS) call, and transfer via a non-PCI facility. If eDAD was zero, ODT was projected to be less than 120 min in more than 90% of the patients.ConclusionsThe contribution of geographical infrastructure-dependent time in prehospital delay was substantially smaller than that of geographical infrastructure-independent time. Intervention to shorten eDAD by focusing on factors such as older age, absence of a witness, onset at night, no EMS call, and transfer via a non-PCI facility appears to be an important strategy for reducing ODT in STEMI patients. Additionally, eDAD may be useful for evaluating the quality of STEMI patient transport in areas with different geographical conditions.

Raking over the Ashes—The Analysis of the LBA Ashmounds from NE Romania

During the end of the Bronze Age, the territory of present-day eastern Romania was occupied by Noua communities, belonging to the Noua-Sabatinovka-Coslogeni (NSC) cultural complex. Although these communities have left us a large number of archaeological sites, this period is rather poorly known and understood, mostly because the investigation of Late Bronze Age (LBA) sites is very rare, usually consisting of small test trenches or fieldwalks. The main characteristic of these communities and the subject of our study is represented by the so-called ashmounds (grey, quasi-circular spots, visible on the soil surface, with small elevations and diameters of 25–30 m), present inside most settlements. Our paper aims at highlighting the spatial characteristics of these sites, using GIS (Geographic Information System) tools, as well as aerial photographs, LiDAR (Light Detection and Ranging) measurements, magnetometry and geo-electrical methods, in order to identify the relationship existing between Noua communities and the inhabited environment, in the area known as the Jijia River catchment. Thus, our approach was able to outline the way in which the geographical peculiarities determined the establishment of new settlements, revealing that the human groups from the end of the Bronze Age preferred low terrains with smooth slopes, located in the immediate vicinity of the most important watercourse of the inhabited micro-area. Additionally, our geophysical studies allowed us to confirm the lack of ash located within the ashmound, as well as to signal the possibility that these features have become visible on the soil surface only due to the irreversible damage caused by intensive agricultural processes. Despite the small number of excavations, to this day an important number of studies have been dedicated to the communities and features in question; however, no analysis has yet been performed that unites the tools specific to GIS software with the usage of non-invasive methods (such as aerial photographs, LiDAR measurements and geophysical techniques).

TopoRadio

This article analyzes the construction of TopoRadio (toporadio.org), an interactive map that showcases publications and archives about Spanish-language radio in the U.S. The map aims to promote a more inclusive and comprehensive representation of U.S. radio history by improving the visibility of contributions from Latinx broadcasters. The article addresses how map-making historically suppressed Spanish-language radio programs and proposes using critical cartography as a framework for mapping back this history. The technical elements of TopoRadio, including publication selection criteria, metadata design, geocoding process, and the appraisal of Geographic Information Systems (GIS) software, are described to provide scholars with a reproducible method for creating interactive mapping projects. The article concludes with an assessment of the map's effectiveness as a research tool and an analysis of the publications in the field of Spanish-language radio studies included on the map.

Spatial analysis of the phenomenon of poverty in Nasiriyah using geographic information systems technology

The research aims to diagnose the factors of poverty in the city of Nasiriyah, and its spatial analysis by adopting spatial analyzes in the environment of the geographic information systems program by finding patterns of spatial distribution of the poor population and the factors and density of their distribution such as neighborhood, nucleus density, kernel coefficient, and hot spots) with identifying the factors causing this phenomenon, As well as studying their conditions and the resulting effects. (665) questionnaires were distributed to several dwellings in the city of Nasiriyah, which differed in physical and physical distribution the intentional sample method was used to select a number of poor people according to their distribution in residential neighborhoods, and measures were adopted to treat them statistically according to the characteristics, size and quality of the data obtained. The research reached a set of indicators represented by the clear contrast of the phenomenon of poverty in the urban sphere of the city of Nasiriyah and its housing units, as the population and housing factors interact with each other to formulate the most important factors influencing the phenomenon of poverty through the close interdependence between them, as most of the neighborhoods of the city of Nasiriyah suffer from urban problems, and among them suffer from Poverty to varying degrees.

Solar PV power plant site selection using a GIS-based non-linear multi-criteria optimization technique.

The ongoing rise in energy consumption imposed serious environmental challenges by using fossil fuels. The use of renewable energy sources is being increasingly explored as a potential answer for achieving sustainable energy production and minimizing adverse environmental effects. In the modern day, photovoltaic (PV) systems are viewed as a possible replacement for fossil fuels as a clean energy source. The installation of solar PV power plants requires vast land and huge investment. Therefore, it is necessary to select a suitable site to achieve maximum efficiency and low cost. A feasible location of photovoltaic (PV) system must consider certain criteria including land restrictions, access to roads, and transmission lines. This study analyzed ten factors grouped into four categories: geographic, technical, economic, and flood susceptibility criterion. The data of each factor is extracted from various governments, United Nation (UN), and non-government organizational bodies. Weights were assigned to ten factors by using a non-linear multi-criteria optimization technique called full consistency method (FUCOM). A geographic information system (GIS) software, ESRI ArcGIS pro, performs the weighted overlay analysis of the ten factors with weighted importance calculated by the above technique. A suitability map is created showing that a total of 2.02% of the country's area is suitable for PV power plants, which are further divided into five suitability classes. The results highlight the distribution of suitable sites for the construction of solar PV power plant throughout the country. A sensitivity analysis is performed to highlight the impact of the factor on the final suitability map. These findings can promote the future widespread development and application of solar energy resources.

Backpackers' Order and Visit Length in an Urban World Heritage Destination: an Analysis Using Ordered Logit and Linear Models

Described as a group of independent travelers with flexible itineraries and without substantial time constraints, backpackers constitute one of the tourist segments that has drawn the attention of many researchers around the world. However, little is known about how this segment of travelers behaves in destinations from a space–time perspective. The purpose of this study is to examine the relevance of the order and visit length on backpackers' space–time behavior in an urban world heritage destination. Using geographic information system (GIS) software, the sequence and the length of the visit were identified. To analyze the order of the places visited, we used the ordered logit method and to study the duration dimension a multivariate equation, estimated by OLS with heteroskedasticity robust errors, was selected. The results showed that no variable in particular influences the order of the places visited in any of the parishes simultaneously, reinforcing the underlying randomness in relation to the order in which destination parishes are visited. Length of stay is mostly influenced by factors related to mobility conditions as well as factors exogenous to tourists' decision-making capacity.

Exploring the Use of Geographic Information Systems to Identify Spatial Patterns of Remote UAS Pilots and Possible National Airspace Risk

The proliferation of Unmanned Aircraft Systems (UAS) in the United States National Airspace System (NAS) has resulted in an increasing number of close encounters between manned aircraft and UAS, which correlates with the increasing number of remote pilots in the Federal Aviation Administration (FAA) airmen database. This research explores spatial patterns of registered airmen using Geographic Information Systems (GIS) analyses that provide notable spatial distribution patterns of pilots and how they relate to UAS sightings and airspace categories. The application of GIS to these aviation data may assist safety practitioners with identifying geographic patterns, areas of higher risk, and ultimately improve safety management. The authors analyzed publicly available airmen data to examine spatial distribution patterns, data correlations, and inferences. Airmen addresses were first geocoded into ArcPro 10.4 GIS software as a vector data layer containing attribute values of the database. The spatial analysis tool set was then utilized to establish clustering, density patterns, and spatial relationships between various categories of registered airmen. These density analyses revealed implicitly that commercial registered pilots tend to have the highest clustering near major commercial use controlled airspace, yet registered remote (UAS) pilots are also clustered in these and other densely populated areas. UAS sighting data were also geocoded using zip code values of the reported city to potentially correlate UAS sighting with registered remote pilots, yet the lack of spatial precision in the database made establishing any type of spatial relationship ineffective. The implicit spatial relationships between commercial and remote registered pilots revealed further research is needed to integrate UAS safely and effectively into the national airspace. The poor quality of UAS sighting data also demonstrates the need to better utilize GIS to monitor and track UAS flights within the context of an Unmanned Traffic Management System.

GDAL and PROJ Libraries Integrated with GRASS GIS for Terrain Modelling of the Georeferenced Raster Image

Libraries with pre-written codes optimize the workflow in cartography and reduce labour intensive data processing by iteratively applying scripts to implementing mapping tasks. Most existing Geographic Information System (GIS) approaches are based on traditional software with a graphical user’s interface which significantly limits their performance. Although plugins are proposed to improve the functionality of many GIS programs, they are usually ad hoc in finding specific mapping solutions, e.g., cartographic projections and data conversion. We address this limitation by applying the principled approach of Geospatial Data Abstraction Library (GDAL), library for conversions between cartographic projections (PROJ) and Geographic Resources Analysis Support System (GRASS) GIS for geospatial data processing and morphometric analysis. This research presents topographic analysis of the dataset using scripting methods which include several tools: (1) GDAL, a translator library for raster and vector geospatial data formats used for converting Earth Global Relief Model (ETOPO1) GeoTIFF in XY Cartesian coordinates into World Geodetic System 1984 (WGS84) by the ‘gdalwarp’ utility; (2) PROJ projection transformation library used for converting ETOPO1 WGS84 grid to cartographic projections (Cassini–Soldner equirectangular, Equal Area Cylindrical, Two-Point Equidistant Azimuthal, and Oblique Mercator); and (3) GRASS GIS by sequential use of the following modules: r.info, d.mon, d.rast, r.colors, d.rast.leg, d.legend, d.northarrow, d.grid, d.text, g.region, and r.contour. The depth frequency was analysed by the module ‘d.histogram’. The proposed approach provided a systematic way for morphometric measuring of topographic data and combine the advantages of the GDAL, PROJ, and GRASS GIS tools that include the informativeness, effectiveness, and representativeness in spatial data processing. The morphometric analysis included the computed slope, aspect, profile, and tangential curvature of the study area. The data analysis revealed the distribution pattern in topographic data: 24% of data with elevations below 400 m, 13% of data with depths −5000 to −6000 m, 4% of depths have values −3000 to −4000 m, the least frequent data (−6000 to 7000 m) <1%, 2% of depths have values −2000 to 3000 m in the basin, while other values are distributed proportionally. Further, by incorporating the generic coordinate transformation software library PROJ, the raster grid was transformed into various cartographic projections to demonstrate distortions in shape and area. Scripting techniques of GRASS GIS are demonstrated for applications in topographic modelling and raster data processing. The GRASS GIS shows the effectiveness for mapping and visualization, compatibility with libraries (GDAL, PROJ), technical flexibility in combining Graphical User Interface (GUI), and command-line data processing. The research contributes to the technical cartographic development.

Landscape pattern analysis using GIS and remote sensing to diagnose soil erosion and nutrient availability in two agroecological zones of Southern Mali

BackgroundSoil is a basic natural resource for the existence of life on earth, and its health is a major concern for rural livelihoods. Poor soil health is directly associated with reduced agricultural land productivity in many sub-Saharan countries, such as Mali. Agricultural land is subjected to immense degradation and the loss of important soil nutrients due to soil erosion. The objective of the study was to diagnose the spatial distribution of soil erosion and soil nutrient variations under different land use in two agroecological zones of Southern Mali using the Geographical Information System (GIS) software, the empirically derived relationship of the Revised Universal Soil Loss Equation, in-situ soil data measurement and satellite products. The soil erosion effect on agricultural land productivity was discussed to highlight the usefulness of soil and water conservation practices in Southern Mali.ResultsThe results of the land use and land cover change analysis from 2015 to 2019 revealed significant area reductions in water bodies, bare land, and savanna woodland for the benefit of increased natural vegetation and agricultural land. There was significant variation in the annual soil loss under the different land use conditions. Despite recordings of the lowest soil erosion rates in the majority of the landscape (71%) as a result of field-based soil and water conservation practices, the highest rates of erosion were seen in agricultural fields, resulting in a reduction in agricultural land area and a loss of nutrients that are useful for plant growth. Spatial nutrient modelling and mapping revealed a high deficiency and significant variations (p < 0.05) in nitrogen (N), phosphorus (P), potassium (K), and carbon (C) in all land use and land cover types for the two agroecologies.ConclusionsThe study highlighted the inadequacies of existing field-based soil and water conservation practices to reduce soil erosion and improve landscape management practices. The findings of the study can inform land management planners and other development actors to strategize and prioritize landscape-based intervention practices and protect catchment areas from severe erosion for the enhanced productivity of agricultural fields.

ESTIMATION OF WHEAT CROP PRODUCTIVITY OF DISTRICT NAWAB SHAH USING METRIC EEFLUX IMAGERY

Water scarcity and food security are global concerns, which require morefood production from less water. Therefore, for effective management of water resources and improved food production, identification of Crop water Productivity (CWP) is of prime importance. Current study was conducted at Center for Advanced Studies in Water, Mehran University of Engineering and Technology, Jamshoro, Pakistan during year 2020 estimates CWP of wheat during the Rabi season (winter season) in the Nawab Shah District of Sindh (located in Rorhi canal command area) using Mapping Evapotranspiration at High Resolution with internalized calibration (METRIC) - Earth Engine Flux (EEFLUX) application. Cloud corrections were applied where cloud cover was approximately 50% and missing data were interpolated. Actual evapotran spiration (ETa ) for each season (initial, development, mid and late, required for estimating CWP) were calculated from reference evapotranspiration (ETr ) by evapotranspiration factor (ETr F) which were available at the Food and Agriculture Organization (FAO) website, using geographical information system software package (ARC-GIS). Total ETa for the entire season came out to be 367.57 mm. Inshort, wheat crop productivity can be assessed by using matric EEFLUX imagery

Optimizing the safety of residential quarters in China's compact cities: A safety systems engineering approach

Choosing a place to live demands critical consideration of economic, social, transport and preferred lifestyle factors. Internal and external safety risks that may jeopardize people's safety and incur losses of life and property are besetting some residential quarters. This study aimed to establish an optimal safety system for China's compact cities by evaluating the risk factors comprehensively and proposing targeted measures to improve safety. Based on the current research and safety accident data, a model of the human-machine-environment system was developed for residential quarters. Fault Tree Analysis was used to identify the risk factors. The optimal safety system was constructed using System Dynamics to provide theoretical guidance to bring improvement. A case study was enlisted to generate empirical results to validate the proposed system. Qualitative analysis using geographic information system software and quantitative analysis using Grey Comprehensive Evaluation rating based on the entropy weight method yielded a score of 0.70 out of 1.00. Equivalent to the good level, the results confirmed the fulfillment of safety requirements with room for optimization by applying the new system. Analysis of weaknesses was accompanied by specific recommendations to remedy shortcomings and refine practices. This study contributes to the literature by analyzing a broad range of risk factors and employing IT and quantitative techniques to develop a feasible and practical safety system for residential quarters. The findings enhance the understanding of risk control in residential quarters, provide a systematic method to assess management efficacy, and inform the authorities to optimize safety management.

Inadequate healthcare facilities despite Endosulfan affected area in Kasaragod District

At Kasaragod district in Kerala state the inhabitants here suffer due to the negligence of states own Plantation Corporation by 20 years spraying of Endosulfan pesticide in 2000 hectares of cashew plantation. It has no choice but to compensate for the unparalleled misery caused by the silent killer Endosulfan for a quarter of a century. More than thousands of people have been suffering by this environmental manmade disaster but the ratio between doctor and population rate is lower than the recommendation of World health organization. Unemployment in the district pushes international and national migration of the Kasaragod citizens. The rate of migration and birth are high in Kasaragod district. Lack of Tertiary hospitals in Kasaragod the Inhabitants in the district not only depends by near city for multi-specialty healthcare but also for better education, employment and other facilities. This dependence is the main reason for inadequate healthcare system and under development of the district. The statistical methods are used to measure healthcare facilities and population in Kasaragod district. Accessibility towards nearby cities have analyzed by Geographical Information System software. Here Patients were struggled for consultation in the emergency of Covid pandemic period. Basic facility of a society can measures by considering its quality of health care centers. But in Kasaragod patients are rely for multi-specialty hospital to neighborhood cities. If they have to take effort for treatment by long journey pointing out that the district has insufficient health care system in it.

Voltage Regulation in Excessive Penetration of Solar Rooftop Distribution System Using Battery Energy Storage System

This paper presents the methodology and solutions for mitigating voltage variation under steady conditions caused by differing levels of PV penetration in low-voltage (LV) rural networks. The LV rural area of the Provincial Electricity Authority (PEA) North-East area 3 District of Thailand is used as a case study with load profiles from Geographic Information System (GIS) software. Moreover, rooftop PV power generation is calculated using recorded data on irradiation in Nakhon Ratchasima Province. DIgSILENT Power Factory software is used to simulate and analyze the quality of the proposed method by focusing on the voltage level at the end of the line or dead-end (DE) of the LV network. The results show overvoltage at the DE under the high rooftop PV penetration. The battery energy storage system (BESS) is applied to mitigate the problem of low quality. Meanwhile, the system is operated by examining load demand and rooftop PV power generation to define the state of charging and discharging conditions. The proposed method can be integrated into the algorithm of a rooftop PV system and BESS local control in the home energy management system (HEMS). The results show that the proposed method can reduce the voltage variation problem existing in the PEA standard while improving the voltage level at all DEs.

BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions

In the 21st Century, disasters have severe negative impacts on cities worldwide. Given the significant casualties and property damage caused by disasters, it is necessary for disaster management organizations and the public to enhance urban disaster management. As an effective method, BIM (Building Information Modeling)–GIS (Geographic Information System) integration can significantly improve urban disaster management. Despite the significance of BIM–GIS integration, there is rarely the adoption of BIM–GIS integration in urban disaster management, which significantly hinders the development of the quality and efficiency of urban disaster management. To enhance urban disaster management and reduce the negative impact caused by disasters, this study is developed to perform a systematic review of the utilization of BIM–GIS integration in urban disaster management. Through the systematic review, the capabilities of BIM–GIS integration in disaster prevention and mitigation, disaster response, and post-disaster recovery are reviewed and analyzed. Moreover, the data acquisition approaches, interoperability, data utilization and analysis methods, and future directions of BIM–GIS integrated utilization in the disaster management process are also discussed and analyzed. Through this study, the public and urban disaster managers can effectively familiarize themselves with and utilize the capabilities of BIM–GIS integration in urban disaster management, thereby improving the urban disaster management efficiency and the survival rate of disaster victims worldwide. For BIM and GIS software developers, this study can support them to familiarize themselves with the methods and trends of BIM–GIS integrated utilization in urban disaster management and thus optimize the development of software for BIM and GIS.