Habitual travel behaviour: Evidence from a six-week travel diary

By R. Schlich, Kay W. Axhausen. 2003

426 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d80e08e4c588cf7d250fcdb6f38e9978e00105d7

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Citations in the corpus

How routine is a routine? : An analysis of the day-to-day variability in prism vertex location (2006, background): “…intensively by researchers to gain a better understanding of travel behavior and to acquire knowledge for better transportation planning and policy development (e.g., Hanson and Huff, 1982; Pas, 1988; Kitamura, 1988a; Keuleers et al., 2001; Schlich and Axhausen, 2003; Schlich et al. 2004).”
Evidence on the distribution of values of travel time savings from a six-week diary (2004, background): “The day-to-day variability in mode use to work adds additional random variation to the data and therefore the parameter estimates (see Schlich and Axhausen, 2003 for evidence).”
A statistical method for estimating predictable differences between daily traffic flow profiles (2017, background): “These patterns or cycles are often based around the days of the week or seasons, as evidenced by multi-day surveys (Kitamura and Van Der Hoorn, 1987, Schlich and Axhausen, 2003, Habib and Miller, 2008).”
Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013, background): “These efforts, however, demonstrated that individual mobility patterns are strongly related with land-use patterns as well as the built environment of a city, and individual daily travel patterns exhibit great regularity [9, 10, 11, 12, 13].”
When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, background): “Activity and travel behaviour of workers is relatively stable on weekdays, contrary to non‐workers’ weekday activities and travel behaviour and to all individual’s weekend activities and travel (Schlich and Axhausen, 2003 ; Susilo and Kitamura, 2005 ; Kitamura et al , 2006 ).”
Travel information as an instrument to change cardrivers’ travel choices: a literature review (2006, background): “It has recently been widely acknowledged (e.g. Lyons, 2001; Fujii et al., 2001; Fujii and Kitamura, 2003; Fujii and Gärling, 2003; Schlich and Axhausen, 2003; Bogers et al., 2005) that many travel choices are made out of habit: the same alternative is chosen repeatedly, without any conscious…”
Measuring transit use variability with smart-card data (2007, methodology): “Using the Mobidrive survey, Schlich and Axhausen (2003) have measured the similarity between days of travel.”
Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers (2016, background): “…focused on explaining differences in behavior between individuals , there is now a growing interest in analyzing the variability of behavior within individuals (e.g., Heijnen and Chatterjee, 2015; Jones and Clarke, 1988; Kitamura et al., 2006; Lavery et al., 2013; Schlich and Axhausen, 2003).”
Classifying life course trajectories: a comparison of latent class and sequence analysis (2012, background): “, 2002; Shoval and Isaacson, 2007), or to classify individuals based on their mobility and daily-activity patterns (see e.g. Wilson, 2001; Schlich and Axhausen, 2003; Stovel and Bolan, 2004; Wilson, 2008; Saneinejad and Roorda, 2009; Vanhulsel et al., 2010) In biostatistics and epidemiology, most ap”