06. Selected Results - dataandcrowd/VGI GitHub Wiki

Demographic indicators

• Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping
• Geographic age and gender representation in volunteered cycling safety data: A case study of BikeMaps.org
• Evaluating the services and facilities of European cities using crowdsourced place data
• Investigation of travel and activity patterns using location-based social network data: A case study of active mobile social media users
  • Active Foursquare users
  • Gender equality is seen here
• Ensuring vgi credibility in urban-community data generation: A methodological research design
• Gender and the GeoWeb: Divisions in the production of user-generated cartographic information
• Promoting Crowdsourcing for Urban Research: Cycling Safety Citizen Science in Four Cities
• Diversity in volunteered geographic information: comparing OpenStreetMap and Wikimapia in Jerusalem
  • Ethnic group
• Volunteer geographic information in the Global South: barriers to local implementation of mapping projects across Africa

Non-demographic indicators

• Barriers to the localness of volunteered geographic information
  • Unevenness of Wikipedia
• Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty
  • Wikipedia
  • Geography of representation
• OpenStreetMap in Israel and Palestine – ‘Game changer’ or reproducer of contested cartographies?

Golden Standards retrieved from https://inciteful.xyz/

• Assessing the application and value of participatory mapping for community bushfire preparation
• Comparing bicyclists who use smartphone apps to record rides with those who do not: Implications for representativeness and selection bias
• Mapping ridership using crowdsourced cycling data
• Visualising where commuting cyclists travel using crowdsourced data
• Comparing Crowdsourced Near-Miss and Collision Cycling Data and Official Bike Safety Reporting
• GPS-data in bicycle planning: “Which cyclist leaves what kind of traces?” Results of a representative user study in Germany
• Examining Associations of Environmental Characteristics with Recreational Cycling Behaviour by Street-Level Strava Data