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Analyzing the violation of drone regulations in three VGI drone portals across the US,the UK,and France 被引量:1
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作者 Ammar Mandourah Hartwig Hochmair 《Geo-Spatial Information Science》 CSCD 2024年第2期364-383,共20页
Drone technology opens the door to major changes and opportunities in our society.But this technology,like many others,needs to be administered and regulated to prevent potential harm to the public.Therefore,national ... Drone technology opens the door to major changes and opportunities in our society.But this technology,like many others,needs to be administered and regulated to prevent potential harm to the public.Therefore,national and local governments around the world established regulations for operating drones,which bans drone use from specific locations or limits their operation to qualified drone pilots only.This study reviews the types of restrictions on drone use that are specified in federal drone regulations for the US,the UK,and France,and in state regulations for the US.The study also maps restricted areas and assesses compliance with these regulations by analyzing the spatial contribution patterns to three crowd-sourced drone portals,namely SkyPixel,Flickr,and DroneSpot,relative to restricted areas.The analysis is performed both at the national level and at the state/regional level within each of the three countries,where statistical tests are conducted to compare compliance rates between the three drone portals.This study provides new insight into drone users’awareness of and compliance with drone regulations.This can help governments to tailor information campaigns for increased awareness of drone regulations among drone users and to determine where increased control and enforcement of drone regulations is necessary. 展开更多
关键词 User-generated content DRONE regulation SkyPixel DroneSpot FLICKR social media point pattern
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Analyzing the effect of earthquakes on OpenStreetMap contribution patterns and tweeting activities 被引量:3
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作者 Ahmed Ahmouda Hartwig H.Hochmair Sreten Cvetojevic 《Geo-Spatial Information Science》 SCIE CSCD 2018年第3期195-212,共18页
Natural disasters,such as wildfires,earthquakes,landslides,or floods,lead to an increase in topical information shared on social media and in increased mapping activities in volunteered geographic information(VGI)plat... Natural disasters,such as wildfires,earthquakes,landslides,or floods,lead to an increase in topical information shared on social media and in increased mapping activities in volunteered geographic information(VGI)platforms.Using earthquakes in Nepal and Central Italy as case studies,this research analyzes the effects of natural disasters on short-term(weeks)and longer-term(half year)changes in OpenStreetMap(OSM)mapping behavior and tweet activities in the affected regions.An increase of activities in OSM during the events can be partially attributed to those focused OSM mapping campaigns,for example,through the Humanitarian OSM Team(HOT).Using source tags in OSM change-sets,it was found that only a small portion of external mappers actually travels to the affected regions,whereas the majority of external mappers relies on desktop mapping instead.Furthermore,the study analyzes the spatio-temporal sequence of posted tweets together with keyword filters to identify a subset of users who most likely traveled to the affected regions for support and rescue operations.It also explores where,geographically,earthquake information spreads within social networks. 展开更多
关键词 Volunteered geographic information(VGI) OpenStreetMap(OSM) TWITTER natural disaster human dynamics
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Where to catch'em all?-a geographic analysis of Pokémon Go locations
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作者 Levente Juhász Hartwig H.Hochmair 《Geo-Spatial Information Science》 SCIE EI CSCD 2017年第3期241-251,共11页
In 2016,Niantic Labs released Pokémon Go,an augmented reality smartphone game that attracted millions of users worldwide.This game allows users to“catch”Pokémons through their mobile cameras in different g... In 2016,Niantic Labs released Pokémon Go,an augmented reality smartphone game that attracted millions of users worldwide.This game allows users to“catch”Pokémons through their mobile cameras in different geographic locations that often correspond to prominent places.This paper analyzes the distribution of PokéStops,Pokémon gyms,and spawnpoints in selected urban areas of South Florida and Boston.It identifies which socioeconomic variables and landuse categories affect the density of PokéStops,and how PokéStops and gyms cluster relative to each other.Using nearest neighbor analysis,this paper assesses also how actual PokéStop locations are reflected in Yelp’s“PokéStop nearby”attribute.Results show that black and Hispanic neighborhoods are disadvantaged when it comes to crowd-sourced data coverage,that PokéStops occur more frequently in commercial,recreational and touristic sites and around universities,and that PokéStops tend to cluster around gyms.The latter suggests that these point sets were generated by a similar location selection process.To mitigate geographically linked biases,future versions of augmented reality and geo-games should aim to make them equally accessible in all areas,for example by placing extra resources,such as points of interest,in neighborhoods that are currently underrepresented in data coverage. 展开更多
关键词 Pokémon Go VGI(Volunteered Geographic Information) Yelp cluster South Florida BOSTON HCl(human-computer interaction)
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