A structural equations analysis of commuters' activity and travel patterns
AbstractAn exploratory analysis of commuters' activity and travel patterns was carried out using activity-based travel survey data collected in the Washington, DC metropolitan area to investigate and estimate relationships among socio-demographics, activity participation, and travel behavior. Structural equations modeling methodology was adopted to determine the structural relationships among commuters' demographics, activity patterns, trip generation, and trip chaining information. Three types of structural equations model systems were estimated: one that models relationships between travel and activity participation, another that captures trade-offs between in-home and out-of-home activity durations, and a third that models the generation of complex work trip chains. The model estimation results show that strong relationships do exist among commuters' socio-demographic characteristics, activity engagement information, and travel behavior. The finding that significant trade-offs exist between in-home and out-of-home activity participation is noteworthy in the context of in-home vs. out-of-home substitution effects. Virtually all of the results obtained in this paper corroborate earlier findings reported in the literature regarding relationships among time use, activity participation, and travel. Copyright Kluwer Academic Publishers 2001
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Springer in its journal Transportation.
Volume (Year): 28 (2001)
Issue (Month): 1 (February)
Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=103007
activity frequency; activity pattern; commuter behavior; structural equations; time use; travel duration;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ryuichi Kitamura & Cynthia Chen & Ram Pendyala & Ravi Narayanan, 2000. "Micro-simulation of daily activity-travel patterns for travel demand forecasting," Transportation, Springer, vol. 27(1), pages 25-51, February.
- Andre de Palma & Fay Dunkerley & Stef Proost, 2010.
"Trip Chaining: Who Wins Who Loses?,"
Journal of Economics & Management Strategy,
Wiley Blackwell, vol. 19(1), pages 223-258, 03.
- Andre de Palma & Dunkerley Fay, 2006. "Trip Chaining: Who Wins Who Loses?," Energy, Transport and Environment Working Papers Series ete0605, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Energy, Transport and Environment.
- André de Palma & Fay Dunkerley & Stef Proost, 2006. "Trip chaining: who wins who loses?," Center for Economic Studies - Discussion papers ces0607, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
- De Palma, A & Dunkerley, Fay & Proost, Stef, 2006. "Trip chaining - who wins, who loses?," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/121062, Katholieke Universiteit Leuven.
- André De Palma & Fay Dunkerley & Stef Proost, 2008. "Trip chaining: Who wins who loses?," Working Papers hal-00348451, HAL.
- André De Palma & Fay Dunkerley & Stef Proost, 2005. "Trip chaining - who wins, who loses?," ERSA conference papers ersa05p496, European Regional Science Association.
- Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
- Chen, C & Mokhtarian, Patricia L, 2005.
"An Exploratory Study Using an AIDS Model for Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel,"
Institute of Transportation Studies, Working Paper Series
qt5wk60167, Institute of Transportation Studies, UC Davis.
- Chen, Cynthia & Mokhtarian, Patricia L, 2005. "An Exploratory Study Using an AIDS Model For Tradeoffs Between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Institute of Transportation Studies, Working Paper Series qt2wr907nc, Institute of Transportation Studies, UC Davis.
- de Graaff, Thomas & Rietveld, Piet, 2007. "Substitution between working at home and out-of-home: The role of ICT and commuting costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 142-160, February.
- Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
- Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
- Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
- Lee, Yuhwa & Washington, Simon & Frank, Lawrence D., 2009. "Examination of relationships between urban form, household activities, and time allocation in the Atlanta Metropolitan Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 360-373, May.
- Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
- Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
- Su, EnDer & Fen, Yu-Gin, 2011. "Applying the structural equation model rule-based fuzzy system with genetic algorithm for trading in currency market," MPRA Paper 35474, University Library of Munich, Germany.
- Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.