Katja Schechtner's research while affiliated with Massachusetts Institute of Technology and other places

... For example, studies analyzed the effects of defaults to promote green online product purchases (Taube & Vetter, 2019) or energy savings (Loock et al., 2013). In the mobility context, defaults have been used to raise travelers' awareness of the environmental impact of their transportation choices (Froehlich et al., 2010;Sanguinetti et al., 2017), rethink their transportation habits (Anagnostopoulou et al., 2020), and reduce private car use (Lieberoth et al., 2018;Wunsch et al., 2015). Moreover, Székely et al. (2016) used default settings to encourage carbon offset payments for flight bookings successfully. ...

... It is generally acknowledged that the technology selection process should build on place-based considerations by taking into proper account existing technological resources and regulations, to avoid duplicate efforts and interoperability issues . Smart city research recommends heeding the importance of technological obsolescence and maintenance, which can generate hidden costs and unforeseen complexities, especially considering that budget constraints have been highlighted as a major challenge while selecting technological solutions Offenhuber and Schechtner, 2018). Implementation strategies, according to evidence, should also embrace a portfolio approach to smart city projects Lee et al., 2014;Neirotti et al., 2014). ...

... Urban infrastructure and service provision is structured by the political economies and respective power relations that make up the city. Decisions over infrastructure and services are political and policymaking can involve various levels of democratic and participatory praxis, with variable outcomes [11]. ...

... As we intend to keep cost down, we opted with relatively cheap commercial dust sensors, i.e., the DSM501A model shown in Figure 2b. Since our setup of air pollution instruments is meant to be portable, we have had to limit the volume of contaminants being measured, consistent with the work in [26]. ...

... Investment in public services is generally shrinking due to the deteriorating global economic situation, leading to services with both social utility and a clear return on investment being given priority [31,32]. A major concern is that while many smart city solutions are expensive to procure and service, it is not clear what their return on investment will be [33,34]. However, there is a lack of appropriate, systematic, and proven methodologies or metrics for reporting and verifying the return on investment for the design of smart cities [31,35,36]. ...

... Moreover, experimental case studies are not proposed to validate the suggested model. The study in (Crooks et al. 2017) defines a set of metrics and measures to establish urban models for smart cities. ...

... In addition to being beneficial for the employee, workplace-based cycling interventions may provide benefits to the employer, including increased productivity (36) and reduced absenteeism (37). Whilst a number of workplace cycling initiatives have been trialed, many have focused on single components, such as cycle reward schemes (37), salarysacrifice cycle purchase schemes (38), cycle challenges (39), or one-off cycle events (40). Few workplace initiatives have adopted an integrative approach, targeting both individual and social barriers to cycling over a consolidated period of time, which is likely to be necessary to maximize effectiveness given that most people report multiple barriers acting at different levels (41). ...

... Pokémon GO had and has a large, worldwide user base, which lends itself well to studying mobility. Applications with smaller and more localized user bases could be used to study the population of a city, speakers of a particular language, a specific socioeconomic group [15], or a geographical area where the app is popular [45]. As these types of applications target specific groups, the characteristics of mobility may differ [46]. ...

... , frequency (average of daily frequency), overall slope, and period-separated slopes with daily frequency of EMA responses (the bar colored in black). For period-separated slopes, three periods are given: week #1-#6 (day 0-41), week #6-#8 (day [42][43][44][45][46][47][48][49][50][51][52][53][54][55], and week #8-#10 (day 56-67). Note that overall slope is introduced from daily frequency, and that period-separated slopes are calculated from daily frequency per week. ...

... 50 mostly European participants consisted largely of researchers from multiple disciplines using tracking technologies in academic research, complemented by academics from the domain of urban design and planning. The topic was introduced through presentations by Stefan van der Spek (van der Spek 2008), Alexandra Millonig (Millonig and Schechtner 2008), Henrik Harder Hovgesen and Thomas Sick Nielsen (Hovgesen et al. 2008), Geert Wets (Janssens et al. 2008) and Carlo Ratti and Andres Sevtsuk (Sevtsuk and Ratti 2008). Subsequently, the participants were asked to provide -through round-table discussion on specific themes led by the introductory speakers and members of the TU Delft Urbanism Department -a view on a future research agenda for tracking technologies in urban design and planning. ...