Open Geospatial Data Contribution Towards Sentiment Analysis Within the Human Dimension of Smart Cities

2020 ◽  
pp. 75-95
Author(s):  
Tiago H. Moreira de Oliveira ◽  
Marco Painho
Keyword(s):  
Sentiment Analysis ◽  
Smart Cities ◽  
Geospatial Data ◽  
Human Dimension

scholarly journals Sentiment Analysis of Social Survey Data for Local City Councils

2022 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Marianna Lepelaar ◽  
Adam Wahby ◽  
Martha Rossouw ◽  
Linda Nikitin ◽  
Kanewa Tibble ◽  
...  
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Survey Data ◽  
Smart Cities ◽  
Social Indicators ◽  
Media Analysis ◽  
Social Surveys ◽  
Analysis Techniques ◽  
The Social ◽  
The City

Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data.

scholarly journals Rescaling smart destinations: The growing importance of smart geospatial services during and after COVID-19 pandemic

2020 ◽  
Vol 24 (3) ◽  
pp. 221-228
Author(s):  
Bojan Radojević ◽  
Lazar Lazić ◽  
Marija Cimbaljević
Keyword(s):  
Smart Cities ◽  
Tourism Industry ◽  
Geospatial Data ◽  
Health Issues ◽  
Related Data ◽  
Service Oriented ◽  
Global Tourism ◽  
Evolutionary Step ◽  
Geospatial Services ◽  
Smart Tourism

The COVID-19 pandemic has imposed numerous, lasting adverse effects on the global tourism industry. At the same time, it exposed the competitive advantages that existing smart tourism infrastructure could provide for addressing urgent health issues and providing meaningful smart services. This paper initially provides examples of smart geospatial services based on COVID-19 pandemic-related data, such as algorithms for measuring social distancing through CCTV and proximity contract tracing protocols and applications. Indeed, smart destinations, as an evolutionary step of smart cities, very quickly became a practical and research framework in various other disciplines, from leisure and service-oriented to technical and geospatial domains. However, various technologies employed and interests of different stockholders create a constant need for rescaling of smart data to facilitate their usability in providing optimized smart tourism services. One of the pressing concerns is the functional alignment of geospatial data with tourism-related data. Thus, we aim to pinpoint the growing importance of smart geospatial services, by pointing to the main downturn of the current smart destination issue with geospatial data resolutions, and, by building upon the relations of the geospatial layer of data with the tourism-specific layer. To this end, we pinpoint two further research directions - reinvestigating spatial and temporal resolution as a core of data smartness and the need for contextual (tourism-oriented) scaling of smart technology. This could be of keen interest in post-pandemic tourism, where smart geospatial services will be of pressing concern, but also it still an issue to be resolved in further smart destination development.

scholarly journals Updating Geospatial Data by Creating a High Resolution Digital Surface Model

2018 ◽  
Vol 8 (2) ◽  
pp. 51-58 ◽  
Author(s):  
Iuliana Adriana Cuibac Picu
Keyword(s):  
Laser Scanning ◽  
Smart Cities ◽  
Geographic Information ◽  
Geospatial Data ◽  
Aerial Images ◽  
Aerial Photographs ◽  
Planning System ◽  
Surface Model ◽  
Digital Surface Model ◽  
Digital Terrain

Abstract Smart Cities are no longer just an aspiration, they are a necessity. For a city to be smart, accurate data collection or improvement the existing ones is needed, also an infrastructure that allows the integration of heterogeneous geographic information and sensor networks at a common technological point. Over the past two decades, laser scanning technology, also known as LiDAR (Light Detection and Ranging), has become a very important measurement method, providing high accuracy data and information on land topography, vegetation, buildings, and so on. Proving to be a great way to create Digital Terrain Models. The digital terrain model is a statistical representation of the terrain surface, including in its dataset the elements on its surface, such as construction or vegetation. The data use in the following article is from the LAKI II project “Services for producing a digital model of land by aerial scanning, aerial photographs and production of new maps and orthophotomaps for approximately 50 000 sqKm in 6 counties: Bihor, Arad, Hunedoara, Alba, Mures, Harghita including the High Risk Flood Zone (the border area with the Republic of Hungary in Arad and Bihor)”, which are obtained through LiDAR technology with a point density of 8 points per square meter. The purpose of this article is to update geospatial data with a higher resolution digital surface model and to demonstrate the differences between a digital surface models obtain by aerial images and one obtain by LiDAR technology. The digital surface model will be included in the existing geographic information system of the city Marghita in Bihor County, and it will be used to help develop studies on land use, transport planning system and geological applications. It could also be used to detect changes over time to archaeological sites, to create countur lines maps, flight simulation programs, or other viewing and modelling applications.

scholarly journals ANALYSIS AND EVALUATION OF GEOSPATIAL FACTORS IN SMART CITIES: A STUDY OF OFF-STREET PARKING IN MAINZ, GERMANY

2021 ◽  
Vol XLVI-4/W1-2021 ◽  
pp. 97-101
Author(s):  
A. Rolwes ◽  
K. Böhm
Keyword(s):  
Smart Cities ◽  
Geospatial Data ◽  
Decision Making Process ◽  
Use Case ◽  
Key Factors ◽  
Analysis And Evaluation ◽  
Planning Decisions ◽  
Temporal Relationships ◽  
Sustainable Planning ◽  
The Impact

Abstract. Geospatial data often build the basis for planning decisions in smart cities. In the decision-making process, geospatial relationships have not yet been fully considered and represented. The aim of our research is to investigate these geospatial relationships. This paper presents a four-step process to identify geospatial key factors in smart city use cases. We further develop and evaluate an existing metric to measure the impact of geospatial factors in urban area. For this, we use three variables to characterise distance decay, opening hours and an attractiveness weight for customers depends on the use case. The use case of this study is off-street parking over a period of four years in Mainz, Germany. The results show temporal relationships between parking and geospatial factors. Consequently, our research indicates the impact of different factors on car parks. This knowledge enriches decisions for sustainable planning in cities.

scholarly journals DCluster: Geospatial Analytics with PoI Identification

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Cláudio Gustavo S. Capanema ◽  
Fabrício A. Silva ◽  
Thais R. M. Braga Silva ◽  
Antonio A. F. Loureiro
Keyword(s):  
Smart Cities ◽  
Human Mobility ◽  
Geospatial Data ◽  
Mobile Users ◽  
Data Types ◽  
Mobile Objects ◽  
Points Of Interest ◽  
Web System ◽  
Home Work

The generation of geospatial data is an inherent aspect for several applications that aim to track people, automobiles, or other mobile objects. Mining information from this type of data is a crucial factor for the development of Smart Cities. In many cases, it can help improve human mobility and the quality of citizens. In this sense, there is a growing demand for systems capable of extracting information from several data types, including the geospatial one. In this work, we present DCluster, a web system that aims to assist data analysts in exploring and visualizing the main types of data, including the geospatial one. Additionally, DCluster has the capability of discovering points of interest based on data of mobile users and classifying them as Home, Work, and Other locations. Data analysts can take advantage of DCluster to explore their data and extract knowledge from it.

scholarly journals TOWARDS AN INTELLIGENT PLATFORM FOR BIG 3D GEOSPATIAL DATA MANAGEMENT

2018 ◽  
Vol IV-4 ◽  
pp. 133-140
Author(s):  
N. Mazroob Semnani ◽  
P. V. Kuper ◽  
M. Breunig ◽  
M. Al-Doori
Keyword(s):  
Data Analysis ◽  
United Arab Emirates ◽  
3D Visualization ◽  
Smart Cities ◽  
Heterogeneous Data ◽  
Geospatial Data ◽  
Future Research ◽  
Geospatial Information ◽  
Quality Life ◽  
Building Information

<p><strong>Abstract.</strong> The use of intelligent technologies within 3D geospatial data analysis and management will decidedly open the door towards efficiency, cost transparency, and on-time schedules in planning processes. Furthermore, the mission of smart cities as a future option of urban development can lead to an environment that provides high-quality life along stable structures. However, neither geospatial information systems nor building information modelling systems seem to be well prepared for this new development. After a review of current approaches and a discussion of their limitations we present our approach on the way to an intelligent platform for the management and analysis of big 3D geospatial data focusing on infrastructure projects such as metro or railway tracks planning. three challenges are presented focusing on the management of big geospatial data with existing geo-database management systems, the integration of heterogeneous data, and the 3D visualization for database query formulation and query results. The approach for the development of a platform for big geospatial data analysis is discussed. Finally, we give an outlook on our future research supporting intelligent 3D city applications in the United Arab Emirates.</p>

scholarly journals PROSPECTS FOR USING GEOINFORMATION TECHNOLOGIES IN UKRAIN AIRPORTS FOR ADMINISTRATIVE AND ECONOMIC MANAGEMENT

2020 ◽  
pp. 247-257
Author(s):  
Olena Boiko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Information Technologies ◽  
Mixed Reality ◽  
Smart Cities ◽  
Geographic Information ◽  
Geospatial Data ◽  
Economic Management ◽  
Geographic Information Technologies ◽  
Cloud Technologies ◽  
The Internet Of Things

The urgency of the research. In recent years, world's airports are actively implementing cloud technologies for collecting, processing and visualizing geospatial data: laser and lidar scanning, integration of BIM / GIS models, the use of artificial intelligence, virtual and augmented reality technologies, digital duplicates and «smart» cities. For Ukraine, which is actively following the path of digitalization and implementation of modern geographic information technologies in many areas of ac-tivity, the development of new methods and approaches for administrative and economic management of airport complexes is a relevant and promising area. Target settings.This study examines the possibilities of modern geographic information and cloud technologies and pro-spects for their use for administrative and economic management of an airport. The study is related to the implementation of the State Target Program for Airport Development until 2023 and the Aviation Transport Strategy of Ukraine until 2030, which aims to develop the aviation industry in Ukraine, bringing airport infrastructure to the requirements of the European Union. The Law of Ukraine «On the National Infrastructure of Geospatial Data» and «Consolidated Concept of VIM Implementation in Ukraine» has a great influence on the formation of geospatial data of airports.Actual scientific researches and issues analysis. The paper analyzes and summarizes publications on methods of obtain-ing geospatial data, implementation of geographic information technologies, virtual, augmented and mixed reality technolo-gies, artificial intelligence and the concept of «smart» city for administrative and economic management of airports.Uninvestigated parts of general matters defining. Analysis of recent research and publications has shown that the pro-spects for the introduction of geographic information technology for administrative and economic asset management of Ukrain-ian airports need further research, as these issues are very important and relevant, given the rapid growth of digital society, environment and infrastructure.The research objective. The purpose of this study is to analyze the possibilities and prospects for the introduction of modern technologies for processing and visualization of geospatial data for administrative and economic management of the airport and the development of a conceptual model. The task of the research is to analyze the methods of obtaining geospatial data of the airport, the use of geographic information systems in airports, artificial intelligence technologies, virtual, aug-mented and mixed reality, the Internet of Things, digital duplicates, implementation of the concept of «smart» city, etc.The statement of basic materials. Geospatial data is created digitally using modern information and cloud technologies that offer a wide range of equipment, software, methods and technologies for working with geospatial information. Every year, new technologies that are used in the administrative and economic management of airports appear: cloud data acquisition methods, geographic information systems, artificial intelligence technologies, virtual reality, the Internet of Things, digital counterparts, «smart» cities, and more. Successful integration and use of existing capabilities for the collection, storage, pro-cessing and visualization of geospatial data of airports will ensure their effective management and economic growth.Conclusions. Based on the analysis of the possibilities of using virtual, augmented and mixed reality technologies, artifi-cial intelligence, digital duplicates and the concept of «smart» cities in airports,a conceptual model of prospects for using geospatial data of the airport to address administrative and economic management of the property complex was developed.

scholarly journals GEOSPATIAL DATA FOR ENERGY EFFICIENCY AND LOW CARBON CITIES – OVERVIEW, EXPERIENCES AND NEW PERSPECTIVES –

2018 ◽  
Vol XLII-4 ◽  
pp. 467-474
Author(s):  
A. Nowacka ◽  
F. Remondino
Keyword(s):  
Energy Efficiency ◽  
Smart Cities ◽  
Google Earth ◽  
Geospatial Data ◽  
Urban Spaces ◽  
Spatial Analyses ◽  
Low Carbon ◽  
3D City Models ◽  
Related Data ◽  
City Models

<p><strong>Abstract.</strong> The use of Geographic Information Systems (GIS) and their integration with 3D city models have become a common and powerful asset of cities for planning, visualization and decision-making operations in the fields of energy management, energy efficiency as well as transportation, public infrastructures, etc. The use of such solutions in urban spaces is still confined and mainly applied to visualization purposes (e.g. Google Earth) although geodata and spatial analyses can solve many problems towards the creation of smart cities. This paper presents an overview of various activities using spatial and non-spatial energy-related data integrated with 3D city models into GIS environments. It reviews existing solutions and reports two ongoing projects which deal with geospatial data for better planning and management of energy efficient public lighting and almost zero-consumption public buildings.</p>

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