[en] Travel time and distance are key variables in evaluating transport planning decisions. However, people's perceptions and experiences often differ from objectively measured conditions. Therefore, this paper assesses the effect of different socio-demographic variables, travel habits, and mobility options on self-reported travel distance, travel time, and rain prevalence. Data from a survey on the potential use of e-bikes are analysed using logistic regression models. The most important conclusion from this paper is that travel distances in self-reported surveys are often overestimated, especially when these distances are short. Travel times are better estimated.
Disciplines :
Civil engineering Special economic topics (health, labor, transportation...)
Author, co-author :
Cools, Mario ; Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité ; Department of Information Management Simulation and Modelling, KU Leuven Campus Brussels, Brussels, Belgium ; Faculty of Business Economics, Hasselt University, Diepenbeek, Belgium
Deuse, Caroline; Local Environment Management & Analysis(LEMA), Urban & Environmental Engineering (UEE), University of Liège, Liège, Belgium
Reiter, Sigrid ; Université de Liège - ULiège > Département ArGEnCo > Urbanisme et aménagement du territoire
Language :
English
Title :
Biases in self-reported travel behaviour: Effects on self-reported travel distance, travel time and rain prevalence
M. Cools, E. Moons, L. Creemers, and G. Wets Changes in travel behavior in response to weather conditions: Do type of weather and trip purpose matter? Transportation Research Record: Journal of the Transportation Research Board 2157 2010 22 28 10.3141/2157-03
L. Creemers, G. Wets, and M. Cools Meteorological variation in daily travel behaviour: evidence from revealed preference data from the netherlands Theoretical and Applied Climatology 120 2015 183 194 10.1007/s00704-014-1169-0
A. Curl, J.D. Nelson, and J. Anable Same question, different answer: A comparison of gis-based journey time accessibility with self-reported measures from the national travel survey in england Computers, Environment and Urban Systems 49 2015 86 97 10.1016/j.compenvurbsys.2013.10.006
B. Dewulf, T. Neutens, D. Van Dyck, I. de Bourdeaudhuij, and N. Van de Weghe Correspondence between objective and perceived walking times to urban destinations: Infuence of physical activity, neighbourhood walkability, and socio-demographics International Journal of Health Geographics 11 2012 43 10.1186/1476-072X-11-43
J. Freys Hoezo, regenland? het druppelt maar 7 procent van de tijd Het Laatste Nieuws 2015 5
R. Gerike, T. Gehlert, and F. Leisch Time use in travel surveys and time use surveys-two sides of the same coin? Transportation Research Part A: Policy and Practice 76 2015 4 24 10.1016/j.tra.2015.03.030
D.B. Hess Walking to the bus: perceived versus actual walking distance to bus stops for older adults Transportation 39 2012 247 266 10.1007/s11116-011-9341-1
P. Kelly, P. Krenn, S. Titze, P. Stopher, and C. Foster Quantifying the difference between self-reported and global positioning systems-measured journey durations: A systematic review Transport Reviews 33 2013 443 459 10.1080/01441647.2013.815288
G.R. McCormack, E. Cerin, E. Leslie, L. Du Toit, and N. Owen Objective versus perceived walking distances to destinations: Correspondence and predictive validity Environment and Behavior 40 2008 401 425 10.1177/0013916507300560
M.K. Nematchoua, C. Deuse, M. Cools, and S. Reiter Evaluation of the potential of classic and electric bicycle commuting as an impetus for the transition towards environmentally sustainable cities: A case study of the university campuses in liege, belgium Renewable and Sustainable Energy Reviews 119 2020 109544 10.1016/j.rser.2019.109544
C. Nunley, and K. Sherman-Morris What people know about the weather Bulletin of the American Meteorological Society 101 2020 10.1175/BAMS-D-19-0081.1 E1225-E1240
S. Peer, J. Knockaert, P. Koster, and E.T. Verhoef Over-reporting vs. overreacting: Commuters' perceptions of travel times Transportation Research Part A: Policy and Practice 69 2014 476 494 10.1016/j.tra.2014.07.005
P. Rietveld, B. Zwart, B. van Wee, and T. van den Hoorn On the relationship between travel time and travel distance of commuters The Annals of Regional Science 33 1999 269 287 10.1007/s001680050105
W. Shao Are actual weather and perceived weather the same? understanding perceptions of local weather and their effects on risk perceptions of global warming Journal of Risk Research 19 2016 722 742 10.1080/13669877.2014.1003956
A. Soltani, S.H. Hoseini, and O. Talebi Walking to local destinations; perceived versus actual distance Theoretical and Empirical Researches in Urban Management 10 2015 38 48
K.K. Srinivasan, G.N. Pradhan, and G.M. Naidu Commute mode choice in a developing country: Role of subjective factors and variations in responsiveness across captive, semicaptive, and choice segments Transportation Research Record 2038 2007 53 61 10.3141/2038-07
E. Tenenboim, and Y. Shiftan Accuracy and bias of subjective travel time estimates Transportation 45 2018 945 969 10.1007/s11116-016-9757-8
F. Witlox Evaluating the reliability of reported distance data in urban travel behaviour analysis Journal of Transport Geography 15 2007 172 183 10.1016/j.jtrangeo.2006.02.012
