Crowdsourcing of Accessibility Attributes on Sidewalk-Based Geodatabase

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00314525" target="_blank" >RIV/68407700:21230/17:00314525 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-68059-0_46" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-68059-0_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-68059-0_46" target="_blank" >10.1007/978-3-319-68059-0_46</a>

Result language
angličtina
Original language name
Crowdsourcing of Accessibility Attributes on Sidewalk-Based Geodatabase
Original language description
Although the issue of limited mobility affects a large portion of the population, current navigation systems working with roadway-based geodatabases are designed primarily for cars and therefore cannot efficiently help. Usage of the professionally created sidewalk-based geodatabase is a solution. However, the professional geographical “on-site reconnaissance” is labor demanding. In this poster, we report on results of preliminary research focused on a design of the gamified collection of accessibility attributes by non-expert crowd, which will reduce the data collection cost. Preliminary results suggest the feasibility of the approach supported by a proper guidance of non-experts and creativity of achieving precise measurements.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)