Tripzoom

Abstract

Mobile devices can help to solve urban traffic problems by improving personal mobility and making transport, traveling, and commuting for individual users more flexible, sustainable, and rewarding. For that purpose, the tripzoom application combines mobility data and patterns from mobile sensing, a dynamic incentive system, and community feedback from social networks. This paper gives an overview of tripzoom, its features, and technical realization, and explains how users can take advantage of it to monitor, manage, and improve their mobility behavior.

An investigation of the motivators and barriers of smartphone app incentives for encouraging cycling

“…Given the hyper-competitive nature of the software and application market, designing successful apps is a challenge. Even though many recent research projects [13,[18][19][20][21][22][23][24][25][26][27] have involved mobile phones in delivering interventions and collecting travel data, it is often difficult to achieve optimal results in practice due to credibility or authority issues. Many researching apps have low detection accuracy and security issues which lead to credibility issues.…”

The influence of positive interventions on cycling

“…Fogg, 2002). Table 1 lists eight mobile app projects intended to encourage voluntary travel behaviour changes (Anagnostopoulou et al, 2018;Bie et al, 2012;Broll et al, 2012;Froehlich et al, 2009;Gabrielli & Maimone, 2013;Hu et al, 2015;Jariyasunant et al, 2013Jariyasunant et al, , 2014Jylhä et al, 2013;Mattheiss, 2015;Poslad et al, 2015;Schrammel et al, 2013;Tsirimpa et al, 2019) The app design of those studies followed or fitted in the Persuasive Systems Design model (PSD) (Brynjarsdóttir et al, 2012;Oduor & Oinas-Kukkonen, 2019;Oinas-kukkonen & Harjumaa, 2009;Schneider, Moser, Butz, & Alt, 2016), which offers a way to analyse, design and evaluate the persuasion context. Common persuasive design features used in those studies were personalised feedback, self-monitoring, challenges and goal-setting, social comparison, and rewards.…”

“…Many recent research projects have involved mobile phone in delivering interventions and collecting travel data (Bie et al, 2012;Broll et al, 2012;Carreras et al, 2012;Froehlich et al, 2009;Gabrielli et al, 2014;Hu et al, 2015;Jylhä et al, 2013;Poslad et al, 2015;Sanjust et al, 2014). This approach is generally inspired by Fogg's framework (B. Fogg, 2009;B.…”