Estimating Travel Demand from Twitter using an Individual Mobility Model: In Sweden, The Netherlands and São Paulo

Visa enkel post
dc.contributor.authorEK, KRISTOFFER
dc.contributor.authorWENNERBERG, ERIC
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerSeger, Carl-Johan
dc.contributor.supervisorYeh, Sonia
dc.date.accessioned2020-09-21T07:48:37Z
dc.date.available2020-09-21T07:48:37Z
dc.date.issued2020sv
dc.date.submitted2020
dc.description.abstractThe cost of conducting household travel surveys is increasing, while the response rate is decreasing, pushing researchers to explore new sources of data that can be used to estimate travel demand. Among these new data sources is geotagged tweets from Twitter due to its large quantity of available data and low cost of access. At the same time, using Twitter for travel demand estimation has garnered criticism regarding the biases inherent in Twitter data. This thesis uses geotagged tweets from three regions: Sweden, the Netherlands and São Paulo, to quantify the bias in Twitter data and develop a novel model that estimates travel demand by de-biasing the raw Twitter data. The model integrates two natural dimensions of individual mobility: regularly returning to habitual locations and occasionally exploring new locations. The proposed model addresses the under-representation of habitual places such as home and workplace and corrects the geotagging behavioural bias of overly representing long-distance travel. The model is validated against external data sources in each of the three regions and it is found to result in significant improvements over contemporary methods for using Twitter data for travel demand estimation. The model’s parameters are robust across regions studied, and by using the parameters found in this thesis one can expect the same improvements compared to contemporary approaches when applied to other regions.sv
dc.identifier.coursecodeDATX05sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/301742
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.subjecthuman mobilitysv
dc.subjecttravel demand estimationsv
dc.subjectTwittersv
dc.subjectndividual mobility modelsv
dc.titleEstimating Travel Demand from Twitter using an Individual Mobility Model: In Sweden, The Netherlands and São Paulosv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
Ladda ner
Original bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
CSE 20-78 Ek Wennerberg.pdf
Storlek:
7.19 MB
Format:
Adobe Portable Document Format
Beskrivning:
Estimating Travel Demand from Twitter using an Individual Mobility Model
Ladda ner
License bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
license.txt
Storlek:
1.14 KB
Format:
Item-specific license agreed upon to submission
Beskrivning:
Ladda ner
Samling
Examensarbeten för masterexamen