Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/135198| Title: | Path of least resistance : using geo-games and crowdsourced data to map cycling frictions |
| Other Titles: | Geographic Citizen Science Design. No one left behind |
| Authors: | Grajales, Diego Pajarito Maas, Suzanne Attard, Maria Gould, Michael |
| Keywords: | Cycling -- Equipment and supplies Bicycle lanes -- Design and construction Bicycle lanes -- Safety measures Cycling accidents -- Prevention Mobile computing Mobile geographic information systems |
| Issue Date: | 2021 |
| Publisher: | UCL Press |
| Citation: | Grajales, D. P., Maas, S., Attard, M., & Gould, M. (2021). Path of least resistance : using geo-games and crowdsourced data to map cycling frictions. In A. Skarlatidou, & M. Haklay (Eds.), Geographic Citizen Science Design. No one left behind (pp. 165-185). London: UCL Press. |
| Abstract: | •Cycling provides a low-cost, low-pollution, active mode of transport.
Cycling can provide a solution to urban mobility issues such as con gestion, traffic accidents, transport poverty, inequality and public
health issues such as inactivity and obesity. Policies and programmes
promoting cycling have increased cycling dramatically in cities
worldwide. • The Cyclist Geo-C app has been developed to involve citizens in open cycling data collection by tracking cyclists’ movements and collect ing feedback on their journeys through the selection of tags. • The Cyclist Geo-C app allows for the identification of areas where cycling takes place, where areas of friction are located and where infrastructural or design improvements are needed to address the identified frictions. • Volunteers confirm the suitability of collaboration-based gamification to engage bicycle commuters in collecting open cycling data, in contrast with the more commonly used competition-based strategies used in sports cycling apps. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/135198 |
| Appears in Collections: | Scholarly Works - FacArtGeo |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Path_of_least_resistance_using_geo_games_and_crowdsourced_data_to_map_cycling_frictions_2021.pdf Restricted Access | 7 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.
