Abstract
Technologies collecting location-based data in the real world have advantages
over traditional methods for landscape perception research. The
possibility to relate geo-referenced responses of inhabitants to the physical
and social data in expert GIS databases can lead to new insights into the
difference between laymen and expert opinions and may result in adjustments
of policy forming. To date, the use of Social Sensing in Landscape
perception and valuing is limited. This research presents the set of requirements
for a mobile application for landscape and urban planning, discusses
some of the main challenges, and concludes that a number of evaluated
existing mobile applications just partly meet those requirements.
over traditional methods for landscape perception research. The
possibility to relate geo-referenced responses of inhabitants to the physical
and social data in expert GIS databases can lead to new insights into the
difference between laymen and expert opinions and may result in adjustments
of policy forming. To date, the use of Social Sensing in Landscape
perception and valuing is limited. This research presents the set of requirements
for a mobile application for landscape and urban planning, discusses
some of the main challenges, and concludes that a number of evaluated
existing mobile applications just partly meet those requirements.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 14th international conference on computers in urban planning and urban management |
| Editors | J Ferreira, R Goodspeed |
| Publisher | MIT |
| Pages | 1-20 |
| Number of pages | 20 |
| ISBN (Print) | 978-0-692-47434-1 |
| Publication status | Published - 2015 |
| Event | 14th international conference on computers in urban planning and urban management, Cambridge, Massachusetts, USA - Cambridge, USA Duration: 7 Jul 2015 → 10 Jul 2015 |
Conference
| Conference | 14th international conference on computers in urban planning and urban management, Cambridge, Massachusetts, USA |
|---|---|
| Period | 7/07/15 → 10/07/15 |
