Allocation of Residential Areas in Smart Insular Communities

Smart cities and communities constitute urban environments where cities' potential, ICTs, and human capital are intelligently interconnected under the framework of sustainability. Citizens form a city's identity while ICTs support the smart management of citizens' needs. ‘Smart people' is among the main dimensions of a smart city, something that entails the active role of citizens during the development of infrastructures and decision-making processes. This paper focuses on the smart exploration of possible residential areas in the island of Mykonos (Greece). Emphasis is placed on the effective management of land, the protection of natural resources, and the establishment of a sustainable pattern of housing development. The problem is analysed with the support of a methodological approach that incorporates crowdsourcing, living labs, and participatory evaluation as the main components of its backbone. Geographical Information Systems and multi-criteria decision analysis are also utilized as an integrated Spatial Decision Support System.

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DEVELOPING A 3D ROAD CADASTRAL SYSTEM: COMPARING LEGAL REQUIREMENTS AND USER NEEDS

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-2-w1-223-2016 ◽

2016 ◽

Vol IV-2/W1 ◽

pp. 223-231 ◽

Cited By ~ 1

Author(s):

S. Gristina ◽

C. Ellul ◽

A. Scianna

Keyword(s):

Traffic Management ◽

Geographical Information Systems ◽

Smart Cities ◽

High Standard ◽

Digital Data ◽

Geographical Information ◽

Transport Systems ◽

Road Maintenance ◽

3D Gis ◽

Complete Life Cycle

Road transport has always played an important role in a country’s growth and, in order to manage road networks and ensure a high standard of road performance (e.g. durability, efficiency and safety), both public and private road inventories have been implemented using databases and Geographical Information Systems. They enable registering and managing significant amounts of different road information, but to date do not focus on 3D road information, data integration and interoperability. In an increasingly complex 3D urban environment, and in the age of smart cities, however, applications including intelligent transport systems, mobility and traffic management, road maintenance and safety require digital data infrastructures to manage road data: thus new inventories based on integrated 3D road models (queryable, updateable and shareable on line) are required. This paper outlines the first step towards the implementation of 3D GIS-based road inventories. Focusing on the case study of the “Road Cadastre” (the Italian road inventory as established by law), it investigates current limitations and required improvements, and also compares the required data structure imposed by cadastral legislation with real road users’ needs. The study aims to: a) determine whether 3D GIS would improve road cadastre (for better management of data through the complete life-cycle infrastructure projects); b) define a conceptual model for a 3D road cadastre for Italy (whose general principles may be extended also to other countries).

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Intelligence from Space

Information and Communications Technology for Competitive Intelligence ◽

10.4018/978-1-59140-142-1.ch009 ◽

2011 ◽

pp. 194-226

Author(s):

Paul Hendriks

Keyword(s):

Decision Making ◽

Information Systems ◽

Spatial Analysis ◽

Geographical Information Systems ◽

Geographical Information ◽

Specific Class ◽

Step Procedure ◽

Decision Making Processes ◽

Projected Position ◽

Spatial Element

The spatial element, which is omnipresent in data and information relevant to organizations, is much underused in the decision-making processes within organizations. This applies also to decision-making within the domain of Competitive Intelligence. The chapter explores how the CI function may benefit from developing a spatial perspective on its domain and how building, exploring and using this perspective may be supported by a specific class of information systems designed to handle the spatial element in data: Geographical Information Systems (GIS). The chapter argues that the key element for linking GIS to CI involves the identification of situations in which spatial analysis may support organizational decision-making within the CI domain. It presents a three-step procedure for identifying how CI may recognize spatial decision problems that are useful to boost the operation of the CI function. The first step concerns identifying relevant spatial variables, for instance by analyzing economic, demographic or political trends as to their spatial implications. The second step involves using GIS for positioning the organization with respect to the identified variables (present and projected position). The third step amounts to drawing strategic conclusions from Step 2 by assessing how the competition in relationship with the own organization would be positioned along the identified spatial analysis lines.

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Analysis of Spatial Development in and Around the City of Isparta through Remote Sensing and Geographic Information Systems

Studies of the Industrial Geography Commission of the Polish Geographical Society ◽

10.24917/20801653.22.9 ◽

2013 ◽

Vol 22 ◽

pp. 120-132

Author(s):

Kadir Temurçin ◽

Gizem Uluşar

Keyword(s):

Remote Sensing ◽

Information Systems ◽

Geographical Information Systems ◽

Satellite Images ◽

Spatial Development ◽

Sustainable Land Use ◽

Physical Contact ◽

Geographical Information ◽

Residential Areas ◽

The City

Remote Sensing is a method of examination used in the study of resources on earth without any physical contact. It is a method by which the characteristics of the land below are recorded from space and sky. Determining the characteristics of natural and cultural resources of earth, sustainable exploitation of these resources in the most effective ways and continuous monitoring of the changes in these resources are fundamental to being a developed country. For a sustainable land use and urbanization, data about the unstable natural environment must be collected and monitored at regular intervals, and in order to do these, Remote Sensing (RS) and Geographical Information Systems (GIS) are employed. Images obtained through RS method can be analyzed for the accurate use of the data available. This study seeks to determine the spatial development in and around the city of Isparta through digital imaging processing techniques on different satellite images which belong to different years. Images from satellites ASTER and LANDSAT; information on the quarters in Isparta and the city plan and ERDAS IMAGINE 9.1 program were used in the study. The spatial development of the city of Isparta was studied on the basis of the satellite images obtained in the years 1987, 2000 and 2010 and this study was integrated into GIS. Having analyzed how much change occurred and which way it trended, important information was collected which will be used as source for future studies to be carried out on Isparta. It was observed that while residential areas increased, amount of forested land, and agricultural areas decreased during the periods studied.

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Visualisation Techniques For Facilitating Stakeholder Decision Making In Urban Planning

The Journal of Community Informatics ◽

10.15353/joci.v4i2.2959 ◽

2008 ◽

Vol 4 (2) ◽

Cited By ~ 1

Author(s):

Andrew J Rixon ◽

Stewart Burn

Keyword(s):

Decision Making ◽

Urban Planning ◽

Geographical Information Systems ◽

Local Community ◽

Software Tool ◽

Geographical Information ◽

Traffic Flows ◽

Urban Context ◽

Decision Making Processes

Public participatory geographical information systems (PPGIS) are becoming widely recognised as powerful tools for informed participatory decision-making processes within urban planning projects. This paper discusses a technique recently used within a case study for providing visualisations of traffic flows and how to incorporate local community perceptions of their neighbourhoods into a PPGIS software tool. In particular, the paper demonstrates a new methodology for visualisation of qualitative social data, facilitating dialogue and discussion amongst stakeholders and planning professionals in an urban context. The paper concludes with a discussion on techniques for developing software and presenting visualisations in an understandable and usable manner catering for a diversity of participants.

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The use of geographical information systems in climatology and meteorology

Progress in Physical Geography Earth and Environment ◽

10.1191/0309133303pp384ra ◽

2003 ◽

Vol 27 (3) ◽

pp. 313-330

Author(s):

Lee Chapman ◽

John E. Thornes

Keyword(s):

Information Systems ◽

Geographical Information Systems ◽

Scientific Community ◽

Weather Forecasting ◽

Urban Environments ◽

Geographical Information ◽

Climate Data ◽

Health And Disease ◽

Commercial Off The Shelf

The proliferation of ‘commercial off-the-shelf’ geographical information systems into the scientific community has resulted in the widespread use of spatial climate data in a variety of applications. This paper presents a review of the role of geographical information systems in climatology and meteorology by (i) discussing methods used to derive and refine spatial climate data and (ii) reviewing the bespoke application of GIS and spatial climate datasets in agriculture, ecology, forestry, health and disease, weather forecasting, hydrology, transport, urban environments, energy and climate change.

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The role of Public Participatory Geographical Information Systems (PPGIS) in coastal decision-making processes: An example from Scotland, UK

Ocean & Coastal Management ◽

10.1016/j.ocecoaman.2010.10.021 ◽

2010 ◽

Vol 53 (12) ◽

pp. 816-821 ◽

Cited By ~ 21

Author(s):

David R. Green

Keyword(s):

Decision Making ◽

Information Systems ◽

Geographical Information Systems ◽

Geographical Information ◽

Decision Making Processes

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Location-Based Social Network’s Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9020076 ◽

2020 ◽

Vol 9 (2) ◽

pp. 76 ◽

Cited By ~ 4

Author(s):

Naimat Ullah Khan ◽

Wanggen Wan ◽

Shui Yu

Keyword(s):

Spatial Analysis ◽

Geographical Information Systems ◽

Temporal Analysis ◽

Geographical Information ◽

Educational Institutions ◽

Residential Areas ◽

Temporal Modeling ◽

Time Frequency ◽

Usage Patterns ◽

Spatio Temporal

The aim of the current study is to analyze and extract the useful patterns from Location-Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial analysis techniques, along with specific check-in venue categories. This article explores the applications of LBSN data by examining the association between time, frequency of check-ins, and venue classes, based on users’ check-in behavior and the city’s characteristics. The information regarding venue classes is created and categorized by using the nature of physical locations. We acquired the geo-location information from one of the most famous Chinese microblogs called Sina-Weibo (Weibo). The extracted data are translated into the Geographical Information Systems (GIS) format, and after analysis the results are presented in the form of statistical graphs, tables, and spatial heatmaps. SPSS is used for temporal analysis, and Kernel Density Estimation (KDE) is applied based on users’ check-ins with the help of ArcMap and OpenStreetMap for spatial analysis. The findings show various patterns, including more frequent use of LBSN while visiting entertainment and shopping locations, a substantial number of check-ins from educational institutions, and that the density extends to suburban areas mainly because of educational institutions and residential areas. Through analytical results, the usage patterns based on hours of the day, days of the week, and for an entire six months, including by gender, venue category, and frequency distribution of the classes, as well as check-in density all over Shanghai city, are thoroughly demonstrated.

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A new methodological approach to evaluation of mechanical resistance of green plantings in urban environments

Samara Journal of Science ◽

10.17816/snv201872114 ◽

2018 ◽

Vol 7 (2) ◽

pp. 72-77

Author(s):

Vladimir Olegovich Kornienko ◽

Svetlana Anatolyevna Prikhodko

Keyword(s):

Methodological Approach ◽

Critical Mass ◽

Urban Environments ◽

Mechanical Resistance ◽

Municipal Services ◽

Residential Areas ◽

Complex Approach ◽

Exogenous Factors ◽

Static And Dynamic Loads ◽

Critical Age

The trees growing in urban environments are exposed to the highest pressure of negative exogenous factors and, consequently, many tree species come to the critical age and become hazardous. A complex approach to evaluate the condition of green plantings under the technogenous load using visual, instrumental, biomechanical etc. methods allows timely and reliable identification of hazardous trees. For this purpose, we developed a new methodology of determining the hazardous degree of trees in residential areas. This method is based on the accounts of tree mechanical hardiness evaluation and up-to-date instrumental research data to be used by municipal services employed in plantings monitoring and care. The main parameters are: age, diameter of the base, diameter at height, trunk girth at the base, trunk girth at a height of 1,3 m, the height of the tree, the angle of inclination of the trunk, the vital status score for Saveleva, morphological damage to the trunk, the description of the crown architectonics, the presence of morphogenetic and exogenous damage to the leaf blade, the population of the trunk pests, the presence of hollows, the wind feature and the loading of this site, the mode of visiting the territory (recreational load), the direction of possible fall, percentage of sound rot, modulus of elasticity of wood, density of wood, the ratio of biomass to critical mass, mechanical resistance to static and dynamic loads according to calculations on biomechanics. In the case study of a model tree (London plane) the applicability of this approach to landscaping practices is shown.

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GEOGRAPHICAL INFORMATION SYSTEMS AS A TOOL FOR 3D VISUALIZATION OF LOST ARCHITECTURAL HERITAGE

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-2-w6-69-2019 ◽

2019 ◽

Vol IV-2/W6 ◽

pp. 69-75 ◽

Cited By ~ 1

Author(s):

S. Günay

Keyword(s):

Information System ◽

Geographical Information Systems ◽

3D Visualization ◽

Methodological Approach ◽

Geographical Information ◽

Structural Systems ◽

Architectural Heritage ◽

Accessible Information ◽

Fire Insurance ◽

Urban Characteristics

Abstract. Existing architectural heritage provides information about the architectural and urban characteristics of the civilizations that built them. Their surviving façade compositions, plan organizations, structural and material elements, give clues about various architectural and urban characteristics of these buildings and the periods that they belong to. In the case of lost architectural heritage, it is challenging to know more about these attributes due to the fact that the accessible information about these buildings could be limited. At this point, cartographic and photographic resources provide valuable information about lost architectural heritage. In addition to their geographic locations, information about their dimensions, structural systems, material finishes, colours could be some of the information that can be collected through cartographic and photographic historic documents. This paper presents a summary of the methodological approach of using Geographical Information System (GIS) for 3D visualization of lost architectural heritage in the case of Izmir &ndash; Turkey, by using 1905 fire insurance plans of Charles E. Goad.

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Uşak Şehrinde Okullara Erişebilirliğin Coğrafi Bilgi Sistemleri (CBS) İle Analizi / Analysis of Accessibility of Schools in Uşak City via Geographical Information Systems (GIS)

Journal of History Culture and Art Research ◽

10.7596/taksad.v7i5.1802 ◽

2018 ◽

Vol 7 (5) ◽

pp. 470 ◽

Cited By ~ 1

Author(s):

Adem Sezer ◽

Mehmet Deniz ◽

Mustafa Topuz

Keyword(s):

Spatial Analysis ◽

Geographical Information Systems ◽

Smart Cities ◽

Population Data ◽

Population Pressure ◽

Geographical Information ◽

Data Set ◽

National Education ◽

The Road ◽

The City

AbstractTowards the end of the 20th century, technologically advanced societies have linked the infrastructure and service sectors of the city with technology to reduce population pressure on cities and to sustain welfare. With this aim, state and city managers aimed to accelerate the operation of services. This situation has led to the establishment of the basics for the creation of smart cities. The areas of use of spatial analysis have also increased with the developing smart city systems. When spatial analyzes are associated with GIS, it becomes very useful for urban studies. Accessibility to schools in the city of Uşak is also an example of this type of spatial analysis. In the study, accessible areas were determined by applying network analysis to the schools in Uşak city. While the data set used in the analysis was created, the locations of the schools taken from Uşak Provincial Directorate of National Education, the number of students, teachers and classrooms, the road and building data obtained from the zoning plan of Uşak Municipality, and the OpenStreetMap vector data were used. In addition, population data of the study area were obtained from TURKSTAT by age. The analysis was applied to the distances and alternative distances specified in the law and the accessable areas were determined. As a result of the study, it was determined that the biggest problem in accessibility was in kindergartens. As far away from the center as primary and secondary schools, problems were observed in the walls of the city. In high schools, almost all the city remains within the domain. Considering the adequacy of the educational institutions, it is observed that there are a large number of students per teacher and classroom in kindergartens.Öz20. yüzyılın sonlarına doğru teknolojik açıdan ilerleyen toplumlar şehirlerin üzerinde oluşan nüfus baskısını azaltmak ve refahı sürdürülebilir kılmak için şehrin altyapı ve hizmet sektörlerini teknoloji ile ilişkilendirmişlerdir. Bu gaye ile devlet ve kent yöneticileri hizmetlerin işleyişini hızlandırmayı amaçlamışlardır. Bu durum akıllı kentlerin oluşmasına zemin hazırlayan çalışmaların yapılmasına sebep olmuştur. Gelişen akıllı kent sistemleri ile mekânsal analizlerin kullanım alanları da artmıştır. Mekânsal analizler CBS ile ilişkilendirildiğinde kent çalışmaları için oldukça kullanışlı hale gelmektedir. Çalışmanın amacını da oluşturan Uşak şehrindeki okullara erişilebilirlik bu tipteki mekânsal analizlere bir örnektir. Çalışmada Uşak şehrinde bulunan eğitim kurumlarına network(ağ) analizi uygulanarak erişilebilir alanlar belirlenmiştir. Analizde kullanılan veri seti oluşturulurken Uşak İl Milli Eğitim Müdürlüğünden alınan eğitim kurumlarının konumları, öğrenci, öğretmen ve derslik sayıları, Uşak Belediyesinden alınan imar planından elde edilen yol ve yapı verileri ile OpenStreetMap vektör verilerinden faydalanılmıştır. Ayrıca çalışma sahasının yaş çağlarına göre nüfus verisi TÜİK'ten temin edilmiştir. Analiz yasalarda belirtilen mesafelere ve alternatif mesafelere uygulanarak erişebilir alanlar belirlenmiştir. Çalışma sonucunda erişebilirlikte en büyük problemin anaokullarında olduğu belirlenmiştir. İlkokul ve ortaokullarda merkezden uzaklaştıkça şehrin çeperlerinde problemlerin olduğu görülmüştür. Liselerde ise hemen hemen bütün şehir etki alanı içerisinde kalmaktadır. Eğitim kurumlarının yeterliliğine bakıldığında yine anaokullarına öğretmen ve derslik başına düşen öğrenci sayılarının fazla olduğu göze çarpmaktadır.

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