“…In fact, while academic interests in travel happiness are relatively new (Chen et al., 2019; Singleton, 2019), over the last decade (see De Vos, 2019b; De Vos, Schwanen, Van Acker, & Witlox, 2013; Ettema, Gärling, Olsson, & Friman, 2010), studies have extensively explored various happiness determinants (Chen et al., 2019), focusing on trip and traveler characteristics (Zhu & Fan, 2018a, 2018b) although other dimensions such as the built environment and climate were also investigated (Abenoza, Cats, & Susilo, 2017; De Vos, Ettema, & Witlox, 2019; Park, 2017; Park & Kim, 2017). Frequently analyzed variables include travel modes (Morris, 2015; Morris & Guerra, 2015; Singleton, 2019; St‐Louis, Manaugh, van Lierop, & El‐Geneidy, 2014; Zhu & Fan, 2018b)—those for active travel, including walk and bike [but not for commute (Singleton, 2019)], and public transit were often found as the happiest and unhappiest modes, respectively, although the reciprocal relationship between mode choice and travel happiness was also conceptually acknowledged (De Vos, 2019b; De Vos et al., 2013; De Vos & Witlox, 2017)—activities/experiences on the way to the destination (De Vos et al., 2013; Ettema, Friman, Gärling, Olsson, & Fujii, 2012), presence/characteristics of companions (De Vos, 2019a; Zhu & Fan, 2018b), trip purposes (in relation to the compulsion level of the trip) (De Vos, Mokhtarian, Schwanen, Van Acker, & Witlox, 2016; Mokhtarian, Papon, Goulard, & Diana, 2015; Zhu & Fan, 2018b) and frequencies (Zhu & Fan, 2018a), and weather conditions at the time of the trip (Ettema, Friman, Olsson, & Gärling, 2017). In empirical studies on these variables, sociodemographics (e.g., gender, age, education, and income) were typically included for statistical control or as research variables (Chen et al., 2019; Zhu & Fan, 2018a) although analytical results on their impacts on travel happiness are mixed, except the consistent argument that older travelers are generally happier (Ingvardson & Nielsen, 2019; Singleton, 2019).…”