Citizen participation through volunteered geographic information as equipment for a smart city to monitor urban decay

Vahidnia, Mohammad H.

doi:10.1007/s10661-022-10796-0

Cited by 7 publications

(2 citation statements)

References 58 publications

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“…Objective Information Included in the Panels [92] Urban decay analysis Urban data, cultural heritage, municipal (pavement, contaminated land, abandoned buildings) [93] Traveler mobility analysis Tweets, users [94] Predicting development of a company Financial, organizational, and non-financial [95] Sardegna touristic movements Tourist movements [84] Lisbon tourism monitoring Accommodation, expenditures, travel, satisfaction, visits [96,97] Dublin urban dashboard Real-time information (air quality, hydrometric, river levels, traffic, etc. ), non-real-time (employment, households, students, crime, etc.)…”

Section: Referencesmentioning

confidence: 99%

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Smart Cities

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The data sharing strategy involves understanding the challenges and problems that can be solved through the collaboration of different entities sharing their data. The implementation of a data space in Mallorca is based on understanding the available data and identifying the problems that can be solved using them. The use of data through data spaces will contribute to the transformation of destinations into smart tourism destinations. Smart tourism destinations are considered as smart cities in which the tourism industry offers a new layer of complexity in which technologies, digitalization, and intelligence are powered by data. This study analyzes four scenarios in which geo-dashboards are developed: flood exposure of tourist accommodation, land-cover changes, human pressure, and tourist uses in urban areas. The results of applying the geo-dashboards to these different scenarios provide tourists and destination managers with valuable information for decision-making, highlighting the utility of this type of tool, and laying the foundations for a future tourism data space in Mallorca.

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Section: Referencesmentioning

confidence: 99%

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Smart Cities

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“…Volunteered geographic information (VGI) represents an evolving concept in the realm of geospatial data collection and sharing [51][52][53]. It utilizes various platforms and technologies to collect geographic information voluntarily provided by individuals or communities [54]. VGI harnesses the collective intelligence and contributions of volunteers and fosters the generation of diverse and dynamic geospatial datasets [55].…”

Section: Introductionmentioning

confidence: 99%

Assessing Riverbank Change Caused by Sand Mining and Waste Disposal Using Web-Based Volunteered Geographic Information

Bayazidy,

Maleki,

Khosravi

et al. 2024

Water

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River water is one of the most important natural resources for economic development and environmental sustainability. However, river water systems are vulnerable in some of the densely populated regions across the globe. Intense sand mining and waste disposal can lead to river changes, loose foundations, and biodiversity loss. This study aims to develop a web-based geographic information system (GIS) platform to monitor river channel changes and their impacts on river environments due to sand mining and waste burial. The system integrates open-source software, Windows Server 2012, a web server, and PostgreSQL with PostGIS plugins for efficient mapping and storage of geospatial data and volunteered reporting of location events. Interferometric methods, including SNAP2STAMPS Automated Algorithm, persistent scatterer interferometry (PSI), small baseline subset (SBAS), and Snap software, were used to analyze spatial changes of subsidence from Sentinel-1 satellite data from 2021 to 2023 in the Gadar River in Oshnavieh, Iran. The results showed that the maximum subsidence at the riverbank was −10.1 cm due to sand mining, and the maximum uplift was 8.2 cm due to waste landfilling. The average subsidence was reported to be −5.1 cm. The results emphasize spatial analysis, showcasing material mining’s impact on subsidence trends and underscoring the significance of public participation in monitoring river health. Three parameters—completeness, correctness, and quality—were used to validate the system. Validation results showed completeness, correctness, and quality rates of 94.15%, 92.48%, and 86.63%, respectively.

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Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study

Vahidnia

2024

Earth Sci Inform

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Citizen participation through volunteered geographic information as equipment for a smart city to monitor urban decay

Cited by 7 publications

References 58 publications

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Toward Establishing a Tourism Data Space: Innovative Geo-Dashboard Development for Tourism Research and Management

Assessing Riverbank Change Caused by Sand Mining and Waste Disposal Using Web-Based Volunteered Geographic Information

Meta ensemble learning in geospatial sentiment analysis and community survey mapping: a water supply case study

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