Martin Loidl
Martin Loidl
Department of Geoinformatics, University of Salzburg
Verified email at - Homepage
Cited by
Cited by
A visual analytics approach for extracting spatio-temporal urban mobility information from mobile network traffic
G Sagl, M Loidl, E Beinat
ISPRS International Journal of Geo-Information 1 (3), 256-271, 2012
Urban Emotions and Cycling Experience–enriching traffic planning for cyclists with human sensor data
P Zeile, B Resch, M Loidl, A Petutschnig, L Dörrzapf
GI_Forum 1 (2013), 204-216, 2016
GIS and transport modeling—Strengthening the spatial perspective
M Loidl, G Wallentin, R Cyganski, A Graser, J Scholz, E Haslauer
ISPRS International Journal of Geo-Information 5 (6), 84, 2016
Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)
M Loidl, C Traun, G Wallentin
Journal of transport geography 52, 38-50, 2016
Agent-based bicycle traffic model for Salzburg City
G Wallentin, M Loidl
GI_Forum J. Geogr. Inf. Sci 2015, 558-566, 2015
A spatial framework for Planning station-based bike sharing systems
M Loidl, U Witzmann-Müller, B Zagel
European Transport Research Review 11 (1), 1-12, 2019
Assessing bicycle safety in multiple networks with different data models
M Loidl, B Zagel
GI_Forum, 144-154, 2014
Autocorrelation-Based Regioclassification–a self-calibrating classification approach for choropleth maps explicitly considering spatial autocorrelation
C Traun, M Loidl
International Journal of Geographical Information Science 26 (5), 923-939, 2012
Mapping bicycle crash risk patterns on the local scale
M Loidl, G Wallentin, R Wendel, B Zagel
Safety 2 (3), 17, 2016
Neue Forschungsansätze der Kartographie und ihr Potential für den Unterricht
C Traun, T Jekel, M Loidl, R Vogler, N Ferber, I Gryl
GW-Unterricht 129 (1), 5-17, 2013
Evaluating urban bicycle infrastructures through intersubjectivity of stress sensations derived from physiological measurements
C Werner, B Resch, M Loidl
ISPRS International Journal of Geo-Information 8 (6), 265, 2019
Wie sicher ist sicher?–Innovatives Kostenmodell zur Ermittlung des Gefährdungspotenzials auf Radwegen
M Loidl, B Zagel
Angewandte Geoinformatik, 394-403, 2010
Health effects of active commuting to work: The available evidence before GISMO
C Schäfer, B Mayr, MD Fernandez La Puente de Battre, B Reich, ...
Scandinavian journal of medicine & science in sports 30, 8-14, 2020
Merging self‐reported with technically sensed data for tracking mobility behavior in a naturalistic intervention study. Insights from the GISMO study
M Loidl, P Stutz, MD Fernandez Lapuente de Battre, C Schmied, B Reich, ...
Scandinavian journal of medicine & science in sports 30, 41-49, 2020
Transactional map symbols–at the crossroads of cartography
M Loidl, F Fischer, C Traun
GI-Forum Salzburg, 51-61, 2011
Effects of active commuting on cardiovascular risk factors: GISMO—a randomized controlled feasibility study
B Reich, D Niederseer, M Loidl, MD Fernandez La Puente de Battre, ...
Scandinavian journal of medicine & science in sports 30, 15-23, 2020
What it takes to recruit 77 subjects for a one‐year study on active commuting
MD Fernandez La Puente de Battre, LM Neumeier, C Ensslin, M Loidl, ...
Scandinavian Journal of Medicine & Science in Sports 30 (6), 1090-1095, 2020
Do online bicycle routing portals adequately address prevalent safety concerns?
M Loidl, HH Hochmair
Safety 4 (1), 9, 2018
Spatial information for safer bicycling
M Loidl
Advances and New Trends in Environmental and Energy Informatics, 219-235, 2016
" Radlkarte Salzburg"-das Radroutingportal für die Stadt Salzburg
M Loidl, B Zagel, S Krampe, J Reithofer
na, 2013
The system can't perform the operation now. Try again later.
Articles 1–20