Given Sweden’s ambitious national-level goals to reduce greenhouse gasemissions from transportation, various policies must be designed andimplemented in many different municipalities. To do this effectively, it ishelpful to understand the various travel patterns that contribute most toeveryday passenger transport emissions in these places. This thesiscontributes to this understanding by developing two typologies of travelbehaviour from app-based, GPS-tracked travel diary survey data.Via k-means cluster analysis, the trips, trip chains, activity spaces, andmode choices of travellers in Umeå, Sweden were segmented into 6 weekdayclusters and 7 weekend clusters, interpreted with the help of original visualtools. Via HBEFA emissions factors, the transport emissions of travellerswere computed and assigned to their clusters, and the weighted emissionscontribution of each cluster was assessed. To verify the cross-contextualvalidity of the typologies, random forest classifiers were used to extractclusters in both Skellefteå and Gävle, Sweden, revealing similar segmentswith similar relative emissions contributions. Although segments in Umeåwere less emissive in absolute terms and larger sections of their populationbelonged to relatively sustainable behaviour segments.Of the 6 weekday segments, Busy Car-Oriented Workers, Non-Workers,and On-the-Job Travellers contributed the majority of weekday passengertransport emissions and a minority of the population in each municipality.With the exception of Skellefteå, where they constituted 52% of thepopulation. Of the 7 weekend segments, All-Round Car Drivers, Otherers,All-Round Car Passengers, and Busy Visitors contributed the majority ofweekend emissions and a minority of the population in each location. Themost emissive overlaps between weekday/weekend segments were alsoidentified. Additionally, 11-17% of each population, despite relativelysustainable weekday behaviour, produced emissions at overall rates thatmay be considered unsustainable when measured against 2030 nationalemissions targets.In all, these typologies may be used to target, inform, and justify policyinterventions aimed at reducing transport emissions at the municipal level.