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Telecommuting and work travel demand modelling in Sweden
KTH, Superseded Departments, Infrastructure.ORCID iD: 0000-0001-9235-0232
2003 (English)Article in journal (Other academic) Submitted
Place, publisher, year, edition, pages
2003.
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-6083OAI: oai:DiVA.org:kth-6083DiVA: diva2:10691
Note
QC 20100825Available from: 2006-09-05 Created: 2006-09-05 Last updated: 2010-08-25Bibliographically approved
In thesis
1. Issues in Urban Travel Demand Modelling: ICT Implications and Trip timing choice
Open this publication in new window or tab >>Issues in Urban Travel Demand Modelling: ICT Implications and Trip timing choice
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Travel demand forecasting is essential for many decisions, such as infrastructure investments and policy measures. Traditionally travel demand modelling has considered trip frequency, mode, destination and route choice. This thesis considers two other choice dimensions, hypothesised to have implications for travel demand forecasting. The first part investigates how the increased possibilities to overcome space that ICT (information and communication technology) provides, can be integrated in travel demand forecasting models. We find that possibilities of modelling substitution effects are limited, irrespective of data source and modelling approach. Telecommuting explains, however, a very small part of variation in work trip frequency. It is therefore not urgent to include effects from telecommuting in travel demand forecasting. The results indicate that telecommuting is a privilege for certain groups of employees, and we therefore expect that negative attitudes from management, job suitability and lack of equipment are important obstacles. We find also that company benefits can be obtained from telecommuting. No evidences that telecommuting gives rise to urban sprawl is, however, found. Hence, there is ground for promoting telecommuting from a societal, individual and company perspective.

The second part develops a departure time choice model in a mixed logit framework. This model explains how travellers trade-off travel time, travel time variability, monetary and scheduling costs, when choosing departure time. We explicitly account for correlation in unobserved heterogeneity over repeated SP choices, which was fundamental for accurate estimation of the substitution pattern. Temporal constraints at destination are found to mainly restrict late arrival. Constraints at origin mainly restrict early departure. Sensitivity to travel time uncertainty depends on trip type and intended arrival time. Given appropriate input data and a calibrated dynamic assignment model, the model can be applied to forecast peak-spreading effects in congested networks. Combined stated preference (SP) and revealed preference (RP) data is used, which has provided an opportunity to compare observed and stated behaviour. Such analysis has previously not been carried out and indicates that there are systematic differences in RP and SP data.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006
Series
Trita-TEC-PHD, ISSN 1653-4468 ; 06-002
Keyword
Travel Demand, ICT, Tele-substitution, Revealed Preference, Stated Preference, Mixed Logit, Unobserved Heterogeneity, Travel Time Uncertainty, Schedule Delay
National Category
Civil Engineering
Identifiers
urn:nbn:se:kth:diva-4092 (URN)91-85539-04-X (ISBN)
Public defence
2006-09-29, M3, Maskinteknik, KTH, Brinellvägen 64 Entreplan, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20100825Available from: 2006-09-05 Created: 2006-09-05 Last updated: 2010-09-10Bibliographically approved

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Citation style
  • apa
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  • Other locale
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Output format
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  • asciidoc
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