Ryuichi Kitamura's research while affiliated with Kyoto University and other places

... Its components include: activity type choice models, activity duration models, and destination-mode joint choice models. Further discussions on PCATS and its application examples can be found in: Fujii et al. (1997), , , Kawata et al. (1999), Fujii et al. (2000), Iida et al. (2000), Kitamura et al. (2000), Kikuchi et al. (2001), and Kitamura et al. (2002). ...

... Hazard-based duration models have been applied in the transportation field to represent individualÕs behaviors along a time dimension, such as activity duration (e.g., Mannering et al., 1994;Ettema et al., 1995;Niemeier and Morita, 1996;Bhat, 1996a,b;Kitamura et al., 1997;Kitamura and Fujii, 1998), departure time choice (Wang, 1996;Bhat and Steed, 2002), and vehicle transaction (Mannering and Winston, 1991;Gilbert, 1992;De Jong, 1996;Hensher, 1998;Yamamoto et al., 1999Yamamoto et al., , 2001Yamamoto and Kitamura, 2000). In these applications, two types of models have been used for the parameter estimation. ...

... It may seem trivial if someone decides to sleep, eat or work during rides (Jain, 2011;Laurier, 2004), but, a passenger slipping in and out of character has significant consequences for what -and who -exactly constitutes 'being-in-transit'. Consider frequent fliers who vacillate between being elite passengers and aviation enthusiasts seeking to experience airport lounges with no intention to fly (Zuskáčová and Seidenglanz, 2019); or urban commuters who make stops for non-transport reasons, truncating their trips and/or folding in other roles to result in nestled journeys (Kitamura and Susilo, 2006). These deviations make passengering harder to pin down as a concept, seeing that identities can be fluid and potentially switch at will. ...

... Similarly, the modelling techniques have gradually transitioned from econometric techniques (Bhat, 1998(Bhat, , 2005Pinjari & Bhat, 2010) to rule-based static and semi-static models (T. Arentze, Hofman, van Mourik, & Timmermans, 2000a;Pendyala, Kitamura, Kikuchi, Yamamoto, & Fujii, 2005) and now towards dynamic agent-based microsimulation models (Auld & Mohammadian, 2012;Scherr, Manser, Joshi, Frischknecht, & Métrailler, 2020) and hybrid model systems incorporating both econometric and rule-based modelling techniques (Davidson et al., 2010) to make ABMs more behaviourally realistic. In rule-based models like in ALBATROSS choice behaviour that emerges from learning is driven by individual dependent conditionaction rules (Arentze et al., 2000) while in learning-based models like in ADAPTS (Auld & Mohammadian, 2009), agents store the results of their actions in a long-term memory to make future decisions while interacting with the environment (reinforcement learning) or while communicating with others (social learning). ...

... Using actively collected multi-day travel survey datasets, previous studies have gained insights into the intra-person variability, mainly focusing on a single dimension of the activity-travel patterns, such as trip frequency (Pas and Sundar, 1995), activity location (Susilo and Kitamura, 2005;Hanson and Huff, 1988), and travel mode (Heinen and Chatterjee, 2015). Comparatively few studies investigated the inter-dependency between the different behaviour dimensions and measured their variability over time, such as activity-travel-location combinations by Susilo and Axhausen (2014) and activity-location-mode sequences by Dharmowijoyo et al. (2017). ...

... However, the goodness-of-fit in modelling VKT from disaggregate data is relatively low in general. For example, R-square of standard linear regression models is about 0.11 in Train (1986), 0.15 in Kockelman (1997), 0.17 in Yamamoto et al. (2001). One of the reasons for this is difficulty in fully representing its large variability across households. ...

... Furthermore, one thing conventional Minority Game has not considered about transport sector is 'rigidity' in decision making process. The rigidity or cognitive conservatism is observed in previous experiments and surveys (Fujii and Kitamura, 2003). The rigidity could be due to characteristics specific to one travel mode such as comfort and convenience , and this study takes into account of the rigidity as constants in multinomial discrete choice model (Fowkes, 2000; Ortúzar and Willumsen, 2001). ...