Population Distribution as a Factor in the Costs of Fire Services

1994 ◽  
Vol 12 (1) ◽  
pp. 53-70 ◽  
Author(s):  
M Coombes ◽  
M Charlton
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Settlement Patterns ◽  
Population Distribution ◽  
Local Area ◽  
Fire Service ◽  
Funding Formula ◽  
Fire Services ◽  
Government Department

The funding of local authorities in England is done through a formula-based system which seeks to compensate authorities for having to meet higher levels of demand, and/or for facing higher levels of cost, because of the particular conditions of their local area. Differences in the population distribution of areas can affect levels of demand and also the costs of supplying services. The authors begin by questioning whether the measures of population density and sparsity in the current formulae adequately represent the effects of the settlement patterns of an area on service costs in particular. To illustrate the issue, the effects of population distribution on fire services are examined in detail. The differences in principle between the basis of the funding formula for fire services and the criteria by which the detailed activities of fire services are scrutinised by a different government department are discussed. Using a geographic information system, the authors show that the information which underlies the detailed scrutiny of each fire service could also be used to assess the effect of settlement patterns on service costs.

scholarly journals APLIKASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFI UNTUK PEMETAAN DAERAH BERPOTENSI TSUNAMI DI KABUPATEN KUPANG PROVINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 3 (2) ◽  
pp. 170-178
Author(s):  
Lidia Agustina Rumaal ◽  
Jehunias L. Tanesib ◽  
Jonshon Tarigan
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Arrival Time ◽  
Land Cover Map ◽  
The Impact ◽  
Monitoring Area ◽  
Wave Arrival

Abstrak Telah dilakukan pemetaan daerah rawan tsunami berdasarkan estimasi waktu tiba gelombang dan tutupan lahan di Kabupaten Kupang Provinsi Nusa Tenggara Timur menggunakan aplikasi Penginderaan Jauh dan Sistem Informasi Geografi. Penelitian ini bertujuan untuk mengidentifikasi, memetakan daerah rawan tsunami dan tingkat kerawanannya menurut estimasi waktu tiba gelombang dan tutupan lahan sebagai upaya mitigasi dampak bencana tsunami terhadap kepadatan penduduk. Metode penelitian secara umum dibagi dalam empat tahap utama yaitu pembangunan basis data berupa pembuatan peta tutupan lahan, peta gempa dan peta batimetri. Analisis data kerawanan dari peta tutupan lahan dan etimasi waktu tiba gelombang, penyajian hasil data dalam bentuk tingkat kerawanan masing-masing peta dan analisis hasil penelitian berupa tingkat kerawanan secara kualitatif masing-masing daerah titik pantau menurut peta tutupan lahan maupun estimasi waktu tiba gelombang. Selain itu, dampak kerawanan tsunami diklasifikasikan menurut tingkat kepadatan penduduk untuk kebutuhan mitigasi sebagai berikut Kecamatan Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut dan Fatuleu Barat. Kata kunci : Peta rawan tsunami, Penginderaan Jauh, Sistem Informasi Geografi, Estimasi Waktu Tiba Gelombang  Abstract Mapping of hazard tsunami areas based on estimation of arrival time of wave and land cover in Kupang Regency of East Nusa Tenggara Province using remote sensing application and geographic information system has been done. The  aims of this research are to mapping the hazard tsunami area and tsunami vulnerability level in Kupang Regency East Nusa Tenggara according to the estimated arrival time of the wave and land cover as an effort to mitigate the impact of the tsunami disaster on population density. These generally devided into four main phase namely development of database in the form of land cover map , seismic maps and bathymetry maps, data analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. Presentation of data results in the form of vulnerability level of each map and analysis and results analysis of research the form of vulnerability level of each map and analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. And then, the impact of tsunami vulnerability is classified according to population density levels for mitigation needs as follows Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut and Fatuleu Barat. Keywords: Tsunami Hazard Map, Remote Sensing, Geographic Information System, Estimated Time of arrival Wave

scholarly journals PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG

JURNAL BUANA ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 423
Author(s):  
Mia Audina
Keyword(s):  
Information System ◽  
Quantitative Analysis ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Rice Field ◽  
Geographic Information ◽  
Analysis Method ◽  
Quantitative Analysis Method ◽  
Population Prediction

PREDIKSI DAN ANALISIS TEMPAT PEMBUANGAN AKHIR (TPA) SAMPAH DI KOTA PADANG Program Studi Geografi, Fakultas Ilmu Sosial, Universitas Negeri Padang Email: [email protected] Abstrak Penelitian ini bertujuan untuk1) mengetahui tutupan lahan Kota Padang, 2) mengetahui prediksi jumlah penduduk dan volume sampah di Kota Padang 3) mengetahui luas TPA dan lokasi rekomendasi TPA. Metode yang digunakan dalam penelitian ini adalah metode analisis kuantitatif. Model yang digunakan Sistem Informasi Geografis (SIG) di overlay menggunakan parameter pengharkatan. Hasil penelitian menunjukkan, 1) analisis tutupan lahan Citra Landsat Kota Padang tahun 2016 adalah; Vegetasi (51486,40 Ha), Lahan Terbangun (11578,44 Ha), dan Sawah (5713,93 Ha). 2) prediksi penduduk pada tahun 2026 sebesar 1.011.166 jiwa dan prediksi volume sampah sebesar 2.952.604.720 kg/jiwa,.3) lahan yang dibutuhkan untuk TPA sebesar 45,67 Ha dengan luas daerah penyangga 11,42 Ha. Rekomendasi pendirian TPA berada pada Kecamatan Koto Tangah dan Kuranji. Kata kunci:Tutupan Lahan, Kepadatan Penduduk dan Volume Sampah, Luas TPA dan Rekomendasi TPA Abstract This study aims to 1) to know the land cover of Padang City, 2) to know the prediction of population and the volume of waste in Padang City 3) to know the extent of TPA and the location of the TPA recommendation. The method used in this research is quantitative analysis method. The model used Geographic Information System (GIS) in overlay using the parameters. The results showed, 1) analysis of land cover Citra Landsat Padang in 2016 is; Vegetation (51486,40 Ha), Built Land (11578.44 Ha), and Rice Field (5713,93 Ha). 2) population prediction in 2026 of 1,021,329 people and prediction of waste volume of 2.952.604.720 kg/ soul. 3) the land needed for the landfill of 45.67 Ha with a buffer area of 11.42 Ha. The recommendations for the establishment of TPA are located in Koto Tangah and Kuranji Sub-districts. Keywords:Land Cover, Population Density and Waste Volume, Extensive Landfill and Landfill Recomendation

scholarly journals The Population Distribution of Al-Anbar Province Using Quantitative Methods in Geographic Information System for 2019

2021 ◽  
Vol 32 (4) ◽  
pp. 353-373
Author(s):  
Khalid Ibrahim Hussein Al-Easawi ◽  
Qysser Abdullah Ahmed Farhan Al-Duliemi
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Quantitative Methods ◽  
Population Distribution ◽  
Direct Impact ◽  
Distribution Study ◽  
Digital Database ◽  
Arc Gis ◽  
Administrative Units ◽  
Modern Technologies

The importance of population distribution study appears through its direct impact on various fields such as economy, social and political fields. The research aims to show the pictures of the distribution of population in Anbar Province for 2019 according to its administrative units, but differently from the distributions taken earlier. We will depend on the distribution in several quantitative methods using GIS through multiple quantitative maps to show the ability of digital programs to represent in more than one method for same data, as well as the possibility of modern technologies of achieving maps and conduct spatial analyze at the lowest time and cost. This is what we see in the preparation of population maps for the region research clarifying what are the quantitative maps and showing the steps of their production in GIS and the symbols used as well as using ARC GIS programs in all research stages such as the progress of geographic return and then multiple drawing operations with the establishment of a digital database. The search came out a set of different maps in terms of the way drawing and output.

scholarly journals APLIKASI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFI UNTUK PEMETAAN DAERAH BERPOTENSI TSUNAMI DI KABUPATEN KUPANG PROVINSI NUSA TENGGARA TIMUR

2018 ◽  
Vol 3 (3) ◽  
pp. 170-178
Author(s):  
Lidia Agustina Rumaal ◽  
Jehunias L. Tanesib ◽  
Jonshon Tarigan
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Land Cover ◽  
Arrival Time ◽  
Land Cover Map ◽  
The Impact ◽  
Monitoring Area ◽  
Wave Arrival

Abstrak Telah dilakukan pemetaan daerah rawan tsunami berdasarkan estimasi waktu tiba gelombang dan tutupan lahan di Kabupaten Kupang Provinsi Nusa Tenggara Timur menggunakan aplikasi Penginderaan Jauh dan Sistem Informasi Geografi. Penelitian ini bertujuan untuk mengidentifikasi, memetakan daerah rawan tsunami dan tingkat kerawanannya menurut estimasi waktu tiba gelombang dan tutupan lahan sebagai upaya mitigasi dampak bencana tsunami terhadap kepadatan penduduk. Metode penelitian secara umum dibagi dalam empat tahap utama yaitu pembangunan basis data berupa pembuatan peta tutupan lahan, peta gempa dan peta batimetri. Analisis data kerawanan dari peta tutupan lahan dan etimasi waktu tiba gelombang, penyajian hasil data dalam bentuk tingkat kerawanan masing-masing peta dan analisis hasil penelitian berupa tingkat kerawanan secara kualitatif masing-masing daerah titik pantau menurut peta tutupan lahan maupun estimasi waktu tiba gelombang. Selain itu, dampak kerawanan tsunami diklasifikasikan menurut tingkat kepadatan penduduk untuk kebutuhan mitigasi sebagai berikut Kecamatan Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut dan Fatuleu Barat. Kata kunci : Peta rawan tsunami, Penginderaan Jauh, Sistem Informasi Geografi, Estimasi Waktu Tiba Gelombang  Abstract Mapping of hazard tsunami areas based on estimation of arrival time of wave and land cover in Kupang Regency of East Nusa Tenggara Province using remote sensing application and geographic information system has been done. The  aims of this research are to mapping the hazard tsunami area and tsunami vulnerability level in Kupang Regency East Nusa Tenggara according to the estimated arrival time of the wave and land cover as an effort to mitigate the impact of the tsunami disaster on population density. These generally devided into four main phase namely development of database in the form of land cover map , seismic maps and bathymetry maps, data analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. Presentation of data results in the form of vulnerability level of each map and analysis and results analysis of research the form of vulnerability level of each map and analysis of research results in the form of qualitative vulnerability of each monitoring area according to land cover map and estimated wave arrival time. And then, the impact of tsunami vulnerability is classified according to population density levels for mitigation needs as follows Kupang Timur, Kupang Barat, Sulamu, Amfoang Timur, Semau, Semau Selatan, Amfoang Utara, Amfoang Barat Daya, Amfoang Barat Laut and Fatuleu Barat. Keywords: Tsunami Hazard Map, Remote Sensing, Geographic Information System, Estimated Time of arrival Wave

scholarly journals Analysis of the Hungarian Hydrocarbon Industry’s Accidents and their Demonstration with GIS

2020 ◽  
Vol 25 (3) ◽  
pp. 267-273
Author(s):  
András Tóth
Keyword(s):  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Disaster Management ◽  
Fire Service ◽  
Geographic Information ◽  
Management Decision ◽  
Industrial Activities ◽  
Management Decision Support

AbstractFrom its beginning until today the Hungarian hydrocarbon industry has suffered more than seventy bigger accidents where intervention of the fire service and thorough examination was required. In the article the author presents the short analysis of accidents that were collected, systemized, and entered into database during the research, and their integration into the Geographic Information System (GIS). Based on the finished database, with the extended list of the locations’ GPS coordinates, the accidents will be entered into the ArcMap application. The publication of the accidents will be done with the help of Arcgis Viewer for Flex – Application Builder program. Following the GIS placement of accidents, testing, drawing conclusions and summarization are the main goals. The next step will be the preparation for assigning the database to the Disaster Management Decision Support Geographic Information System. Following the international publication, the long-term goal is the connection of each country’s files of dangerous industrial activities that were collected by researchers into one common database.

scholarly journals Geographic information system methods tell spatiotemporal transmission and its drivers of COVID-19 in Wuhan, China at street-level

2020 ◽  
Author(s):  
Wei Liu ◽  
Wongming Wang ◽  
Shuiqiong Hua ◽  
Cong Xie ◽  
Bin Wang ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Urban Areas ◽  
Disease Surveillance ◽  
Influence Factors ◽  
Geographic Information ◽  
Disease Surveillance System ◽  
Local Aggregation ◽  
Global And Local

Abstract Background: No study has revealed spatial transmission characteristics of COVID-19 in Wuhan, China. We aimed to analyze the spatiotemporal spread of COVID-19 in Wuhan and its influence factors.Methods: Information of 32,682 COVID-19 cases reported through March 18 were extracted from the national infectious disease surveillance system. Geographic information system methods were applied to analysis transmission of COVID-19 and its influence factors in different periods.Results: We found decrease in effective reproduction number (Rt) and COVID-19 related indicators through taking a series of effective public health measures including restricting traffic, centralized quarantine and strict stay-at home policy. The distribution of COVID-19 cases number in Wuhan showed an obvious global aggregation and a local aggregation in central urban areas, but such aggregations was decreased in the later period of the epidemic. In addition, the analysis at streets-level suggested population density and the number of hospitals were influence factors of spatial difference.Conclusions: The epidemic situation showed obvious global and local spatial aggregations. High population density and directional flow of the Population to hospitals may account for the aggregations. Strong quarantine measures and restrictions on movement of residents in Wuhan make the epidemic under control in a short time.

scholarly journals Red Chalk Palimpsest: The Logic of Somba Landscape

2020 ◽  
Vol 5 (2) ◽  
pp. 191-204
Author(s):  
Fabrice Noukpakou ◽  
Ghita Barkouch ◽  
Nawri Khamallah ◽  
Renaud Pleitinx
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Settlement Patterns ◽  
Archaeological Sites ◽  
Landscape Elements ◽  
System Data ◽  
Generative Approach ◽  
North Western ◽  
Geographic Information System Data ◽  
The Disappeared

This article presents the results of a study on the traditional settlement patterns of the Somba people, living in the department of Atacora, north-western Benin. Adopting a methodology based on both a generative approach and André Corboz’s (1983) territory–palimpsest analogy, the study specifically questions the ‘dispersed’ character of the Somba habitat. Built upon two hypotheses, according to which Tatas Somba settle approximately to pre-existing Tatas and near to watercourses, this study seeks to understand the reasons and conditions of this dispersal throughout history. By cross-checking on-site inventory and geographic information system data allowing to analyse the distances between Tatas, archaeological sites and nearby watercourses, and thus revealing the permanent, the persistent, and the disappeared landscape elements, this article aims to prove that the settlement of the Tatas Somba is not determined by geometrical compositions, landmarks, or infrastructures, but rather by a combination of social, agricultural, environmental, and subsistence factors.

scholarly journals Measuring the dengue risk area using Geographic Information System: a review

2020 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Sulistyawati Sulistyawati
Keyword(s):  
Risk Factors ◽  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Spatial Epidemiology ◽  
Geographic Information ◽  
Community Research ◽  
Gis Applications ◽  
Disease Case ◽  
The Impact

Background: Dengue is a viral infection transmitted by mosquitoes that continue to be a significant health challenge in many tropical and subtropical countries. So far, Geographic Information System (GIS) in the health sector contributed to disease prevention, especially for visualization of the disease case. GIS is one of the important tools in spatial epidemiology to assist identification and spatial analysis of the target disease intervention. This article summarizes the use of GIS to assess risk factors for DHF, and how efficient the use of GIS in facilitating the improvement of disease surveillance systems for the prevention and control of diseases. Methods: This paper was developed using a descriptive approach, conducted in September and December 2019. The primary data used in this research were from ScienceDirect databased by collecting some studies that assess the risk of dengue using GIS applications. Results: The results of reviews of research in several countries which use GIS applications in assessing the risk of dengue incidence, ie, in Swat, Pakistan evaluated the impact of the slope, population density, and the distance to the river through GIS applications. Then in Seremban and Putrajaya, Malaysia implemented a participatory approach to identify the spatial risk of dengue in the community. Research in Lahore, Pakistan, analyzed the risk of dengue. Study in Colombia conducted GWR to evaluate the association between socioeconomic factors and the environment with dengue fever incidence. Recently, research in Taiwan integrated GIS to detect the correlation between population density and the possibility of human contact with mosquitoes. Conclusions: Based on the results of the review, it can be drawn that asses the dengue risk with GIS applications is highly relevant because it can determine the factors which affect the incidence of dengue. Besides, it can determine the spatial correlation between risk factors and the incidence of dengue, as well as to evaluate the impact of the dengue occurrence.            

scholarly journals Evaluasi kesesuaian lokasi bank BR di wilayah kantor cabang Setiabudi kota Bandung

2018 ◽  
Vol 32 (2) ◽  
pp. 184
Author(s):  
Moh Dendy Fathurahman
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Population Density ◽  
Geographic Information ◽  
Location Determination ◽  
Geographic Information System Application ◽  
Area Unit ◽  
Branch Office ◽  
Research Analysis

Penentuan lokasi Bank yang dapat dijangkau masyarakat dapat membantu dalam peningkatan perekonomian. Akan tetapi, lokasi Bank di Kota Bandung belum sepenuhnya sesuai dengan kebutuhan masyarakat. Tujuan penelitian ini yaitu mendeskripsikan kesesuaian lokasi Kantor Cabang Pembantu (KCP) Bank BRI di Wilayah Unit Kerja Cabang Setiabudi Kota Bandung dengan Menggunakan Aplikasi Sistem Informasi Geografis. Metode untuk mengumpulkan data dalam penelitian ini yaitu observasi, pengukuran lapangan, geocoding, metode pengharkatan dan perengkingan serta yang terakhir adalah wawancara. Parameter yang digunakan dalam analisis penelitian ini adalah lokasi daerah industri, penggunaan lahan, daerah perdagangan, daerah pendidikan, jumlah penduduk, kepadatan penduduk dan kelas jalan. Berdasarkan hasil analisis didapatkan kesimpulan bahwa lokasi KCP Bank BRI di wilayah unit kerja Kantor Cabang Setiabudi baru yaitu KCP BRI Lembang, KCP BRI Cihampelas dan KCP BRI Surya Sumantri tidak seluruhnya mendapat klasifikasi sangat sesuai. Berdasarkan hasil overlay terdapat dua KCP yang mendapat kategori sangat sesuai yaitu KCP Cihampelas yang berada di wilayah kecamatan Coblong dan KCP Surya Sumantri yang berada di wilayah Sukajadi. Selanjutnya terdapat satu daerah lagi yang mendapat klasifikasi sangat sesuai apabila dibangun KCP BRI yaitu di wilayah kecamatan Sukasari, Akan tetapi di wilayah Sukasari terdapat Kantor Cabang BRI Setiabudi yang merupakan induk dari tiga KCPABSTRACT The determination of Bank locations that can be accessed by the community can help in improving the economy. Nowadays, Bank location in Bandung is not yet available in accordance with the needs of the community. The purpose of this study was to describe the suitability of the location of branch offices (KCP) Bank BRI in the Area Unit Setiabudi Branch Bandung using Geographic Information System Application. Method for collecting data in this research was observation, field measurement, geocoding, scoring, range, and interview. The parameters used in this research analysis were the location of the industrials area, lands use, trades area, educations area, populations, population density, and roads class. Based on analysis of Bank BRI KCP location determination using Geographic Information Systems concluded that KCP Bank BRI area in new Setiabudi unit branch office were KCP BRI Lembang, KCP BRI Cihampelas dan KCP BRI Surya Sumantri not all got the very appropriate classifications. Based on the results there were two KCP overlay that got very appropriate category KCP Cihampelas located in the districts of Coblong and KCP Surya Sumantri located in the district of Sukajadi. Furthermore, there was one more area that got very appropriate classification if built BRI KCP was namely in the districts of Sukasari. But in the area Sukasari BRI Branch Office Setiabudi which is the center of three KCP.

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