<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Cellina, Francesca</dc:creator>
  <dc:creator>Bucher, Dominik</dc:creator>
  <dc:creator>Mangili, Francesca</dc:creator>
  <dc:creator>Veiga Simão, José</dc:creator>
  <dc:creator>Rudel, Roman</dc:creator>
  <dc:creator>Raubal, Martin</dc:creator>
  <dc:date>2019-05-10</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The present urban transportation system, mostly tailored for cars, has long shown its limitations. In many urban areas, public  transportation and soft mobility would be able to effectively satisfy many travel needs. However, they tend to be neglected, due to  a deep-rooted car dependency. How can we encourage people to make sustainable mobility choices, reducing car use and the  related CO 2 emissions and energy consumption? Taking advantage of the wide availability of smartphone devices, we designed  GoEco!, a smartphone application exploiting automatic mobility tracking, eco-feedback, social comparison and gamification  elements to persuade individual modal change. We tested the effectiveness of GoEco! in two regions of Switzerland (Cantons  Ticino and Zurich), in a large-scale, one year long randomized controlled trial. Notwithstanding a large drop-out rate experienced  throughout the experiment, GoEco! was observed to produce a statistically significant impact (a decrease in CO 2 emissions and  energy consumption per kilometer) for systematic routes in highly car-dependent urban areas, such as the Canton Ticino. In  Zurich, instead, where high quality public transport is already available, no statistically significant effects were found. In this paper  we present the GoEco! experiment and discuss its results and the lessons learnt, highlighting practical difficulties in performing  randomized controlled trials in the field of mobility and providing recommendations for future research.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://n2t.net/ark:/12658/srd1318931</dc:identifier>
  <dc:identifier>https://susi.usi.ch/global/documents/318931</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/318931/files/Cellina_S_2019.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3390/su11092674</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1318931</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>CC BY</dc:rights>
  <dc:source>Sustainability. - 2019, vol. 11, no. 9, p. 2674</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Persuasion</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Randomized controlled trial</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Smartphones</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Mobility patterns</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/3</dc:subject>
  <dc:title xmlns:ns5="xml" ns5:lang="en">A large scale, app-based behaviour change experiment persuading sustainable mobility patterns : methods, results and lessons learnt</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
