scholarly journals Transport infrastructure indicators for assessing the social comfort of the urban environment

2021 ◽  
Vol 284 ◽  
pp. 06010
Author(s):  
Natalia Martynova ◽  
Valentina Budarova
Keyword(s):  
Urban Environment ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Information Technologies ◽  
The State ◽  
Urban Transport ◽  
Transport Infrastructure ◽  
Geographical Information ◽  
Social Comfort ◽  
The City

Cities are a complex social institution. A special feature of cities is the development of engineering and transport infrastructure. In this article, to assess the state of the urban agglomeration, the transport system of the city is considered as an indicator of social comfort. As part of the support, control and management of the urban environment, administrative authorities use information technologies that are implemented using geographical information systems (GIS). These GIS take into account all indicators of social comfort, which are based on spatial data about the urban environment. From this, we present the concept of an urban environment data management model for public authorities. The model is based on geoinformation systems. Since the geoinformation analysis allows you to create thematic maps of the urban environment with their subsequent assessment and calculation of indicators of social comfort. For this purpose, an analysis algorithm is presented for the main indicators of transport infrastructure assessment. Thus, this study provides an opportunity to assess the state of the city model and set goals for the development of urban transport networks to increase the level of social comfort of the population.

scholarly journals Approche SIG Pour La Modélisation Du Réseau Routier Et La Mesure De L’accessibilité Aux Équipements Publics. Cas De La Ville d’Agadir

2018 ◽  
Vol 14 (2) ◽  
pp. 38
Author(s):  
Charaf eddine Benichou ◽  
Mokhlis Derkaoui Alaoui ◽  
Ali Faleh
Keyword(s):  
Urban Transport ◽  
Transport Infrastructure ◽  
Geographical Information ◽  
Urban Road ◽  
Public Facilities ◽  
Marginal Areas ◽  
Network Analyst ◽  
Urban Public Transport ◽  
The City

The study of road networks and accessibility to public facilities in Morocco doesn’t receive enough importance in regional planning. Most of the work carried out in the field is limited to diagnosis, relying on traditional tools of analysis and description. The goal of this article is to propose a thorough analysis of public facilities accessibility using isochronous maps, which will not only make it possible to evaluate the quality of urban transport system, but also guarantee the equity of the geographical distribution of public services. The study area is the urban commune of Agadir city on Morocco’s southwest coast. The approach used for this purpose is based on urban road network modeling, travel time calculations and geographic information software (GIS). Therefore, a Geographical Information System dedicated to Transport (GIST) was built, supplied with structured data in a geodatabase, and analyzed by using ArcGIS Network Analyst extension. The results demonstrate that Access to public facilities in the city of Agadir differs in quality according to districts and the types of services. However, the most remote marginal areas remain the most affected areas, both in terms of equipment distribution. the availability of transport infrastructure, or the quality of service in urban public transport.

scholarly journals SOCIAL PRECARIOUSNESS AND ACCESSIBILITY TO THE URBAN TRANSPORT IN THE MEGACITIES, CASE STUDY OF A PERIPHERAL COMMUNE OF CASABLANCA, MOROCCO

2019 ◽  
Vol XLII-4/W12 ◽  
pp. 89-94 ◽  
Author(s):  
I. Hbiak ◽  
A. Adidi ◽  
E. El Brirchi ◽  
J. P. Nicolas
Keyword(s):  
Economic Activity ◽  
Geographical Information Systems ◽  
Peripheral Zone ◽  
Urban Transport ◽  
Geographical Information ◽  
Social Situations ◽  
Peripheral Areas ◽  
The Relationship ◽  
The City

<p><strong>Abstract.</strong> The aim of this research is to study the relationship between transportation and poverty. Indeed, the non-existence, lack or weakness of the supply of transport, poor accessibility to the means of transport and thus also to the zones of economic activity for the population can possibly make their economic and social situations more precarious.</p><p>As for a study area we chose the city of Errahma at Dar Bouazza Commune as a peripheral areas of Casablanca on which we analyze accessibility to the zones of economic activity in the Casablanca region through Geographical Information Systems (GIS).</p><p> To complete our analysis, we conducted a survey of 100 households in the peripheral city. This survey aims to study the difficulty of these households to access economic activity areas as well as the high general cost to pay for their trips.</p><p> Our field study confirmed the results obtained by the GIS and shows that choosing to live in a peripheral zone like Errahma can make families poorer because of, among other things, the lack of accessibility to public transport and therefore the lack of accessibility to areas of economic activity.</p>

scholarly journals Solving Big GIS Projects on Desktop Computers

2019 ◽  
Vol 18 (32) ◽  
pp. 44-62
Author(s):  
Dalibor Bartoněk
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Information Technologies ◽  
Digital Data ◽  
Geographical Information ◽  
Digital Information ◽  
Big Data Processing ◽  
Data Volume

We are witnessing great developments in digital information technologies. The situation encroaches on spatial data, which contain both attributive and localization features, and this determines their position unequally within an obligatory coordinate system. These changes have resulted in the rapid growth of digital data, significantly supported by technical advances regarding the devices which produce them. As technology for making spatial data advances, methods and software for big data processing are falling behind. Paradoxically, only about 2% of the total volume of data is actually used. Big data processing often requires high computation performance hardware and software. Only a few users possess the appropriate information infrastructure. The proportion of processed data would improve if big data could be processed by ordinary users. In geographical information systems (GIS), these problems arise when solving projects related to extensive territory or considerable secondary complexity, which require big data processing. This paper focuses on the creation and verification of methods by which it would be possible to process effectively extensive projects in GIS supported by desktop hardware and software. It is a project regarding new quick methods for the functional reduction of the data volume, optimization of processing, edge detection in 3D and automated vectorization.

scholarly journals SPECIFICITIES OF THE CREATION OF GEOINFORMATION MAINTENANCE OF THE TERRITORY OF CHORNOBYL RADIATION AND ECOLOGICAL BIOSPHERE RESERVEFOR GEOINFORMATION MONITORING CONDUCTION

2021 ◽  
pp. 100-111
Author(s):  
N. Lazorenko-Hevel ◽  
I. Galius ◽  
V. Zatserkovnyi ◽  
B. Denysiuk ◽  
N. Shudra
Keyword(s):  
Spatial Data ◽  
Biosphere Reserve ◽  
The State ◽  
Fire Fighting ◽  
National Standards ◽  
Public Access ◽  
Transport Infrastructure ◽  
Geographical Information ◽  
Functional Zoning ◽  
Wide Range

The state and prospects of application of geoinformation systems (GIS) to solve monitoring tasks of nature protected territories of Ukraine are investigated. The results of the first in Ukraine project of geoinformation support of the territory of the Chornobyl Radiation and Ecological Biosphere Reserve (CBR) for monitoring conduction is introduced; it is based on a geospatial database (SDB) of the reserve, which was created using an featureoriented approach based on national standards of Ukraine DSTU 8774:2018 "Geographical information. Rules for geospatial data modeling" and DSTU ISO 19110: 2017 "Geographic information – Methodology for feature cataloging". An information and reference geoportal of the territory and facilities of the Chornobyl Radiation and Ecological Biosphere Reserve has been created, which makes it possible to provide public access to the current monitoring information of the CBR based on the ArcGISOnline platform to a wide range of users. The use of the developed specialized algorithms of geoinformation analysis and modeling for monitoring of a radiation pollution condition of CBR is offered. Peculiarities of geoinformation support of the Chornobyl Radiation and Ecological Biosphere Reserve for GIS monitoring are as follows: keeping up-to-date and unifying different types and origins of data on a single digital topographic basis, ensuring the required level of interaction between different local government authorities, other enterprises and institutions which ensure the viability of the reserve. Problems solved with the help of GIS CBR: creation and maintenance of up-to-date of the spatial data such as: (boundaries of the reserve, current state of use of the territory, natural landscapes, vegetation, distribution of rare and endangered species of flora, fauna, plant communities, functional zoning, afforestation of the reserve; location of historical, cultural and recreational areas features, ecological trails and tourist routes; fire-fighting landscaping, project plan); planning of nature reserve territory; organization of economically, socially and ecologically effective management of the reserve; development of measures for environmental monitoring; monitoring of the state of radiation pollution of the reserve territory; making management decisions, issuing data on hard media; design of tourist routes; designing possible consequences of catastrophes; providing geoinformation support during forest fire fighting; development of measures for the implementation of environmental, anti-erosion, landslide and fireworks, restoration of disturbed natural complexes; comprehensive assessment of the territory of the reserve, its economic use and reserves of natural resources, landscape diversity, historical and cultural sites, the state of engineering and transport infrastructure; conducting scientifically substantiated functional zoning of the reserve territory; development of proposals for the construction and reconstruction of facilities necessary to ensure the activities of the reserve.

scholarly journals Modeling accessibility of community facilities using GIS: case study of Depok City, Indonesia

2017 ◽  
Vol 1 (2) ◽  
pp. 36-43 ◽  
Author(s):  
Herika Muhamad Taki ◽  
Muhammad Zainuddin Lubis
Keyword(s):  
Land Use ◽  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Social Issues ◽  
Spatial Models ◽  
Geographical Information ◽  
Community Issues ◽  
Community Facilities ◽  
The City

Improving community accessibility based on transport connectivity helps to address equity issues. Geographical information systems (GIS) provide useful techniques for capturing, maintaining and analyzing spatial data to defining community issues. The objective of this study is to model accessibility of community facilities using GIS based on private car, bus and train in the city area of Depok, Indonesia. The study modeling the accessibility of community facilities using Geographical information systems (GIS). A geodatabase of community facilities that includes the location of the mall, schools, hospital, mosque, and lake and also supporting data such as street and road network, the number of population, density and land use. The geodatabase covers defining community facilities and modeling accessibility by car, by bus, and by train and analyzing the social pattern. The results obtained from the spatial pattern of accessibility based on the different modes of transportation using the method of network analysis and buffering operations underlines the existence of different patterns. Car transport mode is a commonly accessible mode of community-related to land use interpretation and social issues. The conclusion is that there are differences in the spatial models at the city level in terms of the use of transportation accessibility

scholarly journals Pengolahan Data Spasial-Geolocation Untuk Menghitung Jarak 2 Titik

2021 ◽  
Vol 8 (1) ◽  
pp. 32
Author(s):  
Ahmad Hajar ◽  
Isnan Nabawi ◽  
Lili Kartikawati ◽  
Fadya Rizka Yudana ◽  
Setia Budi ◽  
...  
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Data Types ◽  
Gis Technology ◽  
Database Development ◽  
Location Data ◽  
The City ◽  
Coordinate Data ◽  
Search Information

Perkembangan teknologi Informasi yang berkembang pesat sudah menyentuh ilmu pengetahuan lain seperti perkembangan Sistem Informasi Geografis (SIG). Teknologi SIG memungkinkan sistem dapat menentukan lokasinya dengan memanfaatkan banyak masukan seperti satelit, RFID, WIFI. Geolocation dapat memberikan informasi latitude dan longitude disebut juga dengan koordinat geografis yang merupakan informasi mendasar dari sebuah lokasi di bumi. Basis data dibutuhkan untuk mengembangkan SIG. MySQL sudah mendukung penyimpanan tipe data spasial yang salah satu kelasnya adalah point yang dapat menyimpan data koordinat latitude, longitude dan SRID. Penelitian bertujuan menerapkan teknologi dalam melakukan penyimpanan, memanipulasi data koordinat geografis dan pengolahannya sehingga mendapatkan informasi yang dibutuhkan. Penerapan penelitian dilakukan dengan menambahkan data lokasi beberapa rumah sakit yang ada di kota Yogyakarta, mengubah data lokasi, menampilkan rumah sakit yang terdekat dari titik tertentu, dan menampilkan rumah sakit pada radius tertentu dari titik tertentu. Penelitian membuktikan bahwa tipe data spasial yang menampung data lokasi berupa latitude dan longitude rumah sakit dapat diolah untuk memberikan informasi pencarian rumah sakit terdekat di Yogyakarta dari radius kurang dari sama dengan 3 kilo meter dari titik 110.361994, -7.764768 dalam database yang telah dimiliki.Kata Kunci Data Spasial, Geolocation, Koordinat Geografis, MySQL.The development of information technology that is growing rapidly has touched other sciences such as the development of Geographical Information Systems (GIS). GIS technology allows the system to determine its location by utilizing many inputs such as satellite, RFID, WIFI. Geolocation can provide latitude and longitude information - geographic coordinates which are basic information about a location on earth. Database development to support GIS. MySQL supports the storage of spatial data types, a point class that can store latitude, longitude and SRID coordinate data. This study intends to apply geolocation technology, especially in terms of storing, manipulating geographic coordinate data and processing it so that it gets the information needed. The application of research was carried out by adding the location data of several hospitals in the city of Yogyakarta, change the location data, display the closest hospital from a certain point, and display the hospital in a certain radius from a certain point. Experiments will prove that the spatial data type can be used to obtain search information for the nearest hospital in Yogyakarta from a radius less than 3 kilometers from the point 110.361994, -7.764768 in the database that has been provided.Keywords: Spatial Data, Geolocation, Geographical Coordinates, MySQL.

scholarly journals Street context of various demographic groups in their daily mobility

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ariel Salgado ◽  
Weixin Li ◽  
Fahad Alhasoun ◽  
Inés Caridi ◽  
Marta Gonzalez
Keyword(s):  
Geographical Information Systems ◽  
Building Blocks ◽  
Geographical Information ◽  
Unified Framework ◽  
Demographic Groups ◽  
Daily Mobility ◽  
Urban Science ◽  
Science Framework ◽  
The City ◽  
Racial Ethnic

AbstractWe present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. We consider street context as the inferred usage of the street, based on its buildings and construction, categorized in nine possible labels. The labels define whether the street is residential, commercial or downtown, throughway or not, and other special categories. We apply the analysis to the City of Boston, considering daily trajectories synthetically generated with a model based on call detail records (CDR) and images from Google Street View. Images are categorized both manually and using artificial intelligence (AI). We focus on the city’s four main racial/ethnic demographic groups (White, Black, Hispanic and Asian), aiming to characterize the differences in what these groups of people see during their daily activities. Based on daily trajectories, we reconstruct most common paths over the street network. We use street demand (number of times a street is included in a trajectory) to detect each group’s most relevant streets and regions. Based on their street demand, we measure the street context distribution for each group. The inclusion of images allows us to quantitatively measure the prevalence of each context and points to qualitative differences on where that context takes place. Other AI methodologies can further exploit these differences. This approach presents the building blocks to further studies that relate mobile devices’ dynamic records with the differences in urban exposure by demographic groups. The addition of AI-based image analysis to street demand can power up the capabilities of urban planning methodologies, compare multiple cities under a unified framework, and reduce the crudeness of GIS-only mobility analysis. Shortening the gap between big data-driven analysis and traditional human classification analysis can help build smarter and more equal cities while reducing the efforts necessary to study a city’s characteristics.

scholarly journals A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Fatemeh Hashemi Amin ◽  
Mahtab Ghaemi ◽  
Sayyed Mostafa Mostafavi ◽  
Ladan Goshayeshi ◽  
Khadijeh Rezaei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Dietary Habits ◽  
Age Groups ◽  
Geographical Location ◽  
Geographical Information ◽  
Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

A Geographical Information System (GIS) study of Triassic vertebrate biochronology

2005 ◽  
Vol 142 (4) ◽  
pp. 327-354 ◽  
Author(s):  
E. J. RAYFIELD ◽  
P. M. BARRETT ◽  
R. A. McDONNELL ◽  
K. J. WILLIS
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Western Europe ◽  
Temporal Distribution ◽  
Geographical Information ◽  
Late Triassic ◽  
Spatial And Temporal Scales ◽  
Potential Index ◽  
The Stability ◽  
Land Vertebrate

Geographical Information Systems (GIS) have been applied extensively to analyse spatial data relating to varied environmental issues, but have not so far been used to address biostratigraphical or macroevolutionary questions over extended spatial and temporal scales. Here, we use GIS techniques to test the stability, validity and utility of proposed Middle and Late Triassic ‘Land Vertebrate Faunachrons’ (LVFs), a global biostratigraphical framework based upon terrestrial/freshwater tetrapod occurrences. A database of tetrapod and megafloral localities was constructed for North America and Western Europe that also incorporated information on relevant palaeoenvironmental variables. This database was subjected to various spatial analysis techniques. Our GIS analysis found support at a global level for Eocyclotosaurus as an Anisian index taxon and probably Aetosaurus as a Norian indicator. Other tetrapod taxa are useful biostratigraphical/biochronological markers on a regional basis, such as Longosuchus and Doswellia for Late Carnian time. Other potential index fossils are hampered, however, by taxonomic instability (Mastodonsaurus, Metoposaurus, Typothorax, Paleorhinus, Pseudopalatus, Redondasaurus, Redondasuchus) and/or are not clearly restricted in temporal distribution (Paleorhinus, Angistorhinus, Stagonolepis, Metoposaurus and Rutiodon). This leads to instability in LVF diagnosis. We found only in the western Northern Hemisphere is there some evidence for an Anisian–Ladinian biochronological unit amalgamating the Perovkan and Berdyankian LVFs, and a possible late Carnian unit integrating the Otischalkian and Adamanian.Megaplants are generally not useful for biostratigraphical correlation in the Middle and Upper Triassic of the study area, but there is some evidence for a Carnian-age floral assemblage that corresponds to the combined Otischalkian and Adamanian LVFs. Environmental biases do not appear to strongly affect the spatial distribution of either the tetrapods or megaplants that have been proposed as index taxa in biostratigraphical schemes, though several examples of apparent environmental bias were detected by the analysis. Consequently, we argue that further revision and refinement of Middle and Late Triassic LVFs is needed before they can be used to support global or multi-regional biostratigraphical correlations. Caution should therefore be exercised when using the current scheme as a platform for macroevolutionary or palaeoecological hypotheses. Finally, this study demonstrates the potential of GIS as a powerful tool for tackling palaeontological questions over extended timescales.

scholarly journals Optimal Site Selection for Sittinga Solar Park using Multi-Criteria Decision Analysis and Geographical Information Systems (GIS)

2016 ◽  
Author(s):  
Andreas Georgiou ◽  
Dimitrios Skarlatos
Keyword(s):  
Spatial Data ◽  
Geographical Information Systems ◽  
Power Plants ◽  
Solar Power ◽  
Geographical Information ◽  
Optimal Placement ◽  
Equal Weight ◽  
Analysis Tool ◽  
Study Region ◽  
Weighting Schemes

Abstract. Among the renewable powers sources, solar is rapidly becoming popular being inexhaustible, clean, and dependable. It is also becoming more efficient since the photovoltaic solar cells' power conversion efficiency is rising. Following these trends, solar power will become more affordable in years to come and considerable investments are to be expected. Despite the size of solar plants, the sitting procedure is a crucial factor for their efficiency and financial viability. Many aspects rule such decision; legal, environmental, technical, and financial to name some. This paper describes a general integrated framework to evaluate land suitability for the optimal placement of photovoltaic solar power plants, which is based on a combination of a Geographic Information System (GIS), remote sensing techniques and multi-criteria decision making methods. An application of the proposed framework for Limassol District in Cyprus is further illustrated. The combination of GIS and multi-criteria methods, consist an excellent analysis tool that creates an extensive database of spatial and non spatial data that will be used to simplify problems, to solve and promote the use of multiple criteria. A set of environmental, economic, social and technical constrains based on recent Cypriot legislation, European's Union policies and experts' advices, identifies the potential sites for solar park installation. The pair-wise comparison method in the context of the analytic hierarchy process (AHP) is applied to estimate the criteria weights in order to establish their relative importance in site evaluation. In addition, four different methods to combine information layers and check their sensitivity were used. The first considered all the criteria as being equally important and assign them equal weight, while the others grouped the criteria and graded them according to their objective perceived importance. The overall suitability of the study region for sitting solar park is appraised through the summation rule. Strict application of the framework depicts 3.0 % of the study region scoring best suitability index for solar resource exploitation, hence minimizing risk of a potential investment. However, using different weighting schemes for criteria, suitable areas may reach up to 83 % of the study region. The suggested methodological framework applied can be easily utilized by potential investors and renewable energy developers, through a front end web based application with proper GUI for personalized weighting schemes.

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