Observing the rhythms of daily life: A six-week travel diary

By Kay W. Axhausen, Andrea Zimmermann, S. Schönfelder, G. Rindsfüser, T. Haupt. 2002

477 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/79a90815d9c5544f2b6c9dfc5b6b1a9fa3a5d5d8

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Citations in the corpus

Activity-based Travel Demand Analysis (2011, background): “The limitations of single day activity-travel behavior analysis have led to several multi-day and multi-week data collection efforts in the recent past (see, for example, Axhausen et al., 2002).”
On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates (2011, methodology): “…examples of panel data gathered over a continuous period of time are the two-day time-use diary for the US National Panel Study of Income Dynamics (2002) and the six-week travel and activity diary data panels collected in Germany (Axhausen et al., 2002) and Switzerland (Axhausen et al., 2007).”
Measuring transit use variability with smart-card data (2007, background): “Multi-day travel surveys, in which 2–7 days of travel data are collected, have recently become more common (for instance, the CHASE survey: Doherty and Miller, 2000), and signiﬁcant travel diaries such as Mobidrive (Axhausen et al., 2002), a 6-week diary, have shown the potential to explain the unde”
How routine is a routine? : An analysis of the day-to-day variability in prism vertex location (2006, background): “For details of the Mobidrive project and the resultant data set, s ee Axhausen et al. (2002) and Zimmerman et al. (2001).”
The promises of big data and small data for travel behavior (aka human mobility) analysis (2016, background): “, 2007) or combination of some or all (Axhausen et al., 2002), action space (Susilo and Kitamura, 2005), activity time use (Kang and Scott, 2010), and “unique” trip sequences (Joh et al.”
Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010, background): “Activity spaces are geometric indicators of observed or realized daily travel patterns (Axhausen et al. , 2002; Scho¨nfelder and Axhausen, 2004; Dijst, 1999).”