scholarly journals Geomorphological quantitative analysis of Sperchios River Basin area (Central Greece) utilizing geographical information systems.

2016 ◽  
Vol 47 (1) ◽  
pp. 325 ◽  
Author(s):  
E. Psomiadis ◽  
G. Migiros ◽  
V. Antoniou
Keyword(s):  
River Basin ◽  
Catchment Area ◽  
Geographical Information Systems ◽  
Spatial Models ◽  
Morphological Characteristics ◽  
Geographical Information ◽  
Digital Terrain ◽  
Significant Difference ◽  
The Impact ◽  
Basin Area

In the present study the analysis of the morphometric quantitative parameters of Sperchios river basin, and specifically of the 8 main sub-basins of the northern and southern part, have been made. The integrated use of a Geographic Information System (GIS) allows a thorough spatial analysis of the data derived from digital terrain spatial models that reveal the geomorphological characteristics of an area. The thorough analysis of the results shows the significant difference of the morphological characteristics of the northern and southern part of the catchment area, due to the impact of the neotectonic activity of the area, which creates this asymmetrical topography.

Geographical Analysis of Entertainment Services in the City of Daratu Using Geographical Information Systems (GIS)

2021 ◽  
Vol 8 (3) ◽  
pp. 618-644
Author(s):  
Hoshmand Jawhar Abbas ◽  
Sanger Ahmed Hussein ◽  
Fatimah Qader Mustafa
Keyword(s):  
Geographical Information Systems ◽  
Urban Expansion ◽  
Well Being ◽  
Geographical Information ◽  
Population Increase ◽  
Recreational Facilities ◽  
Financial Gain ◽  
Recreational Services ◽  
The Impact ◽  
The City

 The impact of the recreational services that exist within the group of services that are practiced within the geographical framework of the city, is not limited to the lives of its residents and their activities, but also on the residents of the surrounding areas. Recreational services contribute to providing diversified investment opportunities for leisure time, so that they are appropriate and beneficial to the health, comfort and well-being of the population at the lowest possible cost, without the goal of their establishment being financial gain, as they lead to the creation of mental, psychological and physical balance on the level of one individual and on the basis of society in a way. In general, recreational services are an integral part of urban activities in most cities of the world. Rather, the concept of modernity and urbanization in contemporary urban centers is measured to some extent by the availability of recreational facilities for their inhabitants, and the study also showed the low level of efficiency of recreational services in terms of their spatial distribution and numbers. As it is concentrated in some neighborhoods of the city, while it is less or absent in other neighborhoods, as well as not taking into account the planning standards in its distribution and during its construction in line with the population increase, urban expansion and the residents' needs for these services. The success in providing these different types of recreational facilities depends on how they are distributed geographically. The balanced distribution of these activities determines the success of the adopted plans in achieving the required goals and policies.

Understanding Accessibility

2016 ◽  
pp. 223-257
Author(s):  
Kivanc Ertugay ◽  
Sebnem H. Duzgun
Keyword(s):  
Spatial Data ◽  
Catchment Area ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Data Sets ◽  
Location Allocation ◽  
Modeling Process ◽  
Key Variables ◽  
Spatial Data Sets ◽  
Significant Support

Accessibility measures are generally concerned with equity and a better distribution of services in a territory and can be accepted as key variables for supporting supply/demand, location/allocation and service/catchment area related planning policies and strategies at national, regional, and local levels. Since accessibility measures need organization of huge and complex spatial data sets, accessibility modeling often lends itself to Geographical Information Systems (GIS) for analysis and presentation. Since numerous accessibility measures and modeling techniques ranging from simple to sophisticated can be found in the literature, this work aim to provide an overview of the theoretical framework and relevant background about GIS-based accessibility modeling process. The results could provide a significant support for the decision makers who are supposed to deal with transportation planning, accessibility modeling, location/allocation and service/catchment area related issues.

Understanding Accessibility

2018 ◽  
pp. 576-608
Author(s):  
Kivanc Ertugay ◽  
Sebnem H. Duzgun
Keyword(s):  
Spatial Data ◽  
Catchment Area ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Data Sets ◽  
Location Allocation ◽  
Modeling Process ◽  
Key Variables ◽  
Spatial Data Sets ◽  
Significant Support

Accessibility measures are generally concerned with equity and a better distribution of services in a territory and can be accepted as key variables for supporting supply/demand, location/allocation and service/catchment area related planning policies and strategies at national, regional, and local levels. Since accessibility measures need organization of huge and complex spatial data sets, accessibility modeling often lends itself to Geographical Information Systems (GIS) for analysis and presentation. Since numerous accessibility measures and modeling techniques ranging from simple to sophisticated can be found in the literature, this work aim to provide an overview of the theoretical framework and relevant background about GIS-based accessibility modeling process. The results could provide a significant support for the decision makers who are supposed to deal with transportation planning, accessibility modeling, location/allocation and service/catchment area related issues.

Visualization of Urban Prediction Using Augmented Maps

2012 ◽  
Author(s):  
Sandy Martedi ◽  
Sébastien Callier ◽  
Hideo Saito ◽  
Pega Sanoamuang ◽  
Milica Muminović
Keyword(s):  
Geographical Information Systems ◽  
Green Space ◽  
Geographical Information ◽  
Train Station ◽  
Monitor Display ◽  
Before And After ◽  
Web Camera ◽  
On Line ◽  
The Difference ◽  
The Impact

In this paper, we explore a visualization method using augmented maps for urban prediction. Our implementation allows users to determine the location for prediction in a paper map. As an application example, we examine an area before and after new train station is built. We use the difference between two maps for simulating the changes or predicting the impact if a new train station is built on a location in a paper map. In off-line phase, we gather knowledge data from several reference locations by comparing two aerial maps (before and after the train station is built). We then analyze the difference of green spaces between those two maps using color extraction. We observe that the green space around the new train station mostly decreases due to the area development. This information is then stored for prediction reference. In on-line phase, we use a monocular setup that consists of one camera and a monitor display. A paper map is captured using a web camera and tracked using its geometrical features. These features can be provided using the available data from Geographical Information Systems (GIS) or automatically extracted from the texture. The map is then matched with the reference map in database. When the map is matched, we can overlay the simulation on how the green space will change due to the existence of new train stations on a new location inputted by the user.

Ambient air pollution and health

2016 ◽  
Author(s):  
John Reid ◽  
Giovanni Leonardi ◽  
Alex G. Stewart
Keyword(s):  
Air Pollution ◽  
Geographical Information Systems ◽  
Ambient Air ◽  
Geographical Information ◽  
Ambient Air Pollution ◽  
Background Information ◽  
Traffic Density ◽  
Pollution Indices ◽  
Guideline Values ◽  
The Impact

This chapter describes the impact of air pollution, including particulate matter and nitrogen oxides, on human health, through a case scenario where an increase in respiratory disease has been associated with changes in traffic density and increases in pollution indices. Background information on pollutants and air quality measurements is given based on WHO criteria. The importance of multidisciplinary input to such investigations is emphasized, involving specialists in toxicology and environmental science, as well as health protection staff. The role of geographical information systems in mapping air pollution levels to identify localities where guideline values are exceeded is emphasized, together with health impact assessments to monitor public health outcomes. The complex local, social, and political aspects that may arise are considered, and so endure engagement and communication with different interest groups. The final part clearly outlines currently unanswered questions and how they should be studied and managed in the future.

Flood Hazard Assessment of Bago River Basin, Myanmar

2018 ◽  
Vol 13 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Win Win Zin ◽  
Akiyuki Kawasaki ◽  
Wataru Takeuchi ◽  
Zin Mar Lar Tin San ◽  
Kyaw Zaya Htun ◽  
...  
Keyword(s):  
River Basin ◽  
Hazard Assessment ◽  
Geographical Information Systems ◽  
Flood Hazard ◽  
Disaster Risk ◽  
Geographical Information ◽  
Hazard Mapping ◽  
Flood Hazard Assessment ◽  
Structural Measure ◽  
Inundation Map

Flood hazard mapping is an effective non-structural measure for sustainable urban planning, protecting human properties, lives, and disaster risk reduction. In this study, flood hazard assessment for the Bago river basin was performed. The flood inundation map of the Bago river basin was developed by coupling a hydrological and hydraulic model with geographical information systems. Flood hazard maps with different return periods were developed. The flood hazard map can be utilized to enhance the effectiveness of disaster risk management activities.

scholarly journals Drought Hazard Modelling of Klaten Regency Central Java Using AHP and TOPSIS Method

2021 ◽  
Vol 936 (1) ◽  
pp. 012043
Author(s):  
Meiga Nugrahani ◽  
Purnama Budi Santosa
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Geographical Information Systems ◽  
Public Works ◽  
Disaster Mitigation ◽  
Geographical Information ◽  
Topsis Method ◽  
Drought Vulnerability ◽  
Central Java ◽  
The Impact

Abstract According to information of areas at high risk of drought provided by Central Java disaster risk assessment in 2016 - 2020, Klaten Regency is in the top ten at high risk of drought in Central Java. Drought is an annual disaster in this region, which usually occurs during the dry season. The impact of the drought has caused some areas to experience a lack of clean water. For the purpose of disaster mitigation in anticipating and minimizing drought disasters losses, it is necessary to analyze the level of drought with a decision-making system by comparing two methods, namely the AHP with TOPSIS. Both methods are decision-making methods that are composed of various criteria to obtain an alternative sequence of choices. Both the AHP and TOPSIS methods produces weight values and a positive ideal solution value, respectively. These are used as input data in the mapping of drought vulnerability analysis with Geographical Information Systems (GIS). The results of the analysis are visualized with a map that shows the level of drought vulnerability. AHP and TOPSIS method decision making generates the order of the drought classes in predicting the distribution of areas experiencing drought. To validate the model, the authors compare the results of the analysis of drought vulnerability of the two methods with drought data from BPBD (Local Agency for Disaster Prevention) and DPUPR (Public Works and Public Housing Department). The results show that AHP provides better results than TOPSIS based on results validation with BPBD and DPUPR data. By comparing the two models with BPBD data, the results show that the percentage of AHP suitability is higher than TOPSIS at 47,619% and 19,048% respectively.

scholarly journals Measuring COVID-19 vaccination coverage: an enhanced age-adjusted two-step floating catchment area model

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Alireza Mohammadi ◽  
Abolfazl Mollalo ◽  
Robert Bergquist ◽  
Behzad Kiani
Keyword(s):  
Vaccination Coverage ◽  
Catchment Area ◽  
Geographical Information Systems ◽  
Public Hospitals ◽  
Geographical Information ◽  
Public Healthcare ◽  
Special Importance ◽  
Spatial Access ◽  
Area Model ◽  
Proposed Model

Abstract Background There are only limited studies on access to COVID-19 vaccines and identifying the most appropriate health centres for performing vaccination in metropolitan areas. This study aimed to measure potential spatial access to COVID-19 vaccination centres in Mashhad, the second-most populous city in Iran. Methods The 2021 age structure of the urban census tracts was integrated into the enhanced two-step floating catchment area model to improve accuracy. The model was developed based on three different access scenarios: only public hospitals, only public healthcare centres and both (either hospitals or healthcare centres) as potential vaccination facilities. The weighted decision-matrix and analytic hierarchy process, based on four criteria (i.e. service area, accessibility index, capacity of vaccination centres and distance to main roads), were used to choose potential vaccination centres looking for the highest suitability for residents. Global Moran’s index (GMI) was used to measure the spatial autocorrelation of the accessibility index in different scenarios and the proposed model. Results There were 26 public hospitals and 271 public healthcare centres in the study area. Although the exclusive use of public healthcare centres for vaccination can provide the highest accessibility in the eastern and north-eastern parts of the study area, our findings indicate that including both public hospitals and public healthcare centres provide high accessibility to vaccination in central urban part. Therefore, a combination of public hospitals and public healthcare centres is recommended for efficient vaccination coverage. The value of GMI for the proposed model (accessibility to selected vaccination centres) was calculated as 0.53 (Z = 162.42, P < 0.01). Both GMI and Z-score values decreased in the proposed model, suggesting an enhancement in accessibility to COVID-19 vaccination services. Conclusions The periphery and poor areas of the city had the least access to COVID-19 vaccination centres. Measuring spatial access to COVID-19 vaccination centres can provide valuable insights for urban public health decision-makers. Our model, coupled with geographical information systems, provides more efficient vaccination coverage by identifying the most suitable healthcare centres, which is of special importance when only few centres are available. Graphic abstract

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