Access the full text.
Sign up today, get DeepDyve free for 14 days.
K. Kondo, R. Kitamura (1987)
Time-space constraints and the formation of trip chainsRegional Science and Urban Economics, 17
S. Handy, A. deGarmo, K. Clifton (2002)
Understanding the growth in non-work VMT [vehicle miles travelled]
Joe Grengs, Xiaoguang Wang, L. Kostyniuk (2008)
Using GPS Data to Understand Driving BehaviorJournal of Urban Technology, 15
M. Kwan (1999)
Gender, the Home-Work Link, and Space-Time Patterns of Nonemployment ActivitiesEconomic Geography, 75
S. Saxena, P. Mokhtarian (2010)
The Impact of Telecommuting on the Activity Spaces of ParticipantsGeographical Analysis, 29
Susan Handy, A. deGarmo, Kelly Clifton (2002)
UNDERSTANDING THE GROWTH IN NON-WORK VMT
Ruth Love, F. Chapin (1976)
Human Activity Patterns in the City: Things People Do in Time and Space.Contemporary Sociology, 5
Peter Jones (1990)
Developments in dynamic and activity-based approaches to travel analysis
Joe Grengs (2010)
Job accessibility and the modal mismatch in DetroitJournal of Transport Geography, 18
F. Southworth (1985)
Multi-destination, multi-purpose trip chaining and its implications for locational accessibility: A simulation approachPapers of the Regional Science Association, 57
S. Schönfelder, K. Axhausen (2003)
Activity spaces: Measures of social exclusion?, 140
P. Stopher, P. Bullock, Q. Jiang (2003)
Visualising trips and travel characteristics from GPS dataRoad & Transport Research, 12
J. Wolf, S. Schönfelder, U. Samaga, M. Oliveira, K. Axhausen (2004)
Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip InformationTransportation Research Record, 1870
K. Axhausen, S. Schönfelder, J. Wolf, M. Oliveira, U. Samaga (2003)
80 weeks of GPS-traces: approaches to enriching the trip information, 178
S. Hanson (1980)
The importance of the multi-purpose journey to work in urban travel behaviorTransportation, 9
(2001)
Spatiotemporal Patterns of Employment and Non-Work Activities in Portland, Oregon,
Ronald Classen (1977)
An introduction to geographic information systemsComput. Ind. Eng., 1
R. Rai, M. Balmer, M. Rieser, V. Vaze, S. Schönfelder, K. Axhausen (2006)
Capturing human activity spaces New geometries
(1997)
Stimson, Spatial Behavior: A Geographic Perspective
F. Horton, David Reynolds (1971)
Effects of Urban Spatial Structure on Individual BehaviorEconomic Geography, 47
M. Dijst (1999)
Two-earner families and their action spaces: A case study of two dutch communitiesGeoJournal, 48
H. Mahmassani, S. Hatcher, C. Caplice (1991)
DAILY VARIATION OF TRIP CHAINING, SCHEDULING, AND PATH SELECTION BEHAVIOR OF WORK COMMUTERS
(2004)
2004 National Household Travel Survey
L. Kostyniuk, R. Kitamura (1984)
TRIP CHAINS AND ACTIVITY SEQUENCES: TEST OF TEMPORAL STABILITYTransportation Research Record
T. Golob (1999)
A Simultaneous Model of Household Activity Participation and Trip Chain Generation
T. Adler, M. Ben-Akiva (1979)
A THEORETICAL AND EMPIRICAL MODEL OF TRIP CHAINING BEHAVIORTransportation Research Part B-methodological, 13
R. Vickermann (1972)
DEMAND FOR NON-WORK TRAVELJournal of Transport Economics and Policy, 6
R. Buliung, M. Roorda, T. Remmel (2008)
Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)Transportation, 35
G. Galster, Royce Hanson, M. Ratcliffe, H. Wolman, S. Coleman, Jason Freihage (2001)
Wrestling Sprawl to the Ground: Defining and measuring an elusive conceptHousing Policy Debate, 12
M. Kwan (2000)
Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data setTransportation Research Part C-emerging Technologies, 8
(2012)
Reuscher, Summary of Travel Trends: National Household Travel Survey (Washington, DC: US Department of Transportation: Federal Highway Administration, 2004) ,http://nhts.ornl.gov/ 2001/pub/STT.pdf
J. Wolf, R. Guensler, W. Bachman (2001)
Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel DataTransportation Research Record, 1768
(1990)
Trip Chaining Behaviour by Central City Commuters: A Causal Analysis of Time-Space Constraints,
S. Hanson, M. Schwab (1986)
DESCRIBING DISAGGREGATE FLOWS: INDIVIDUAL AND HOUSEHOLD ACTIVITY PATTERNS
This paper examines the spatial patterns of non-work activities for 34 drivers in the Southeast Michigan region. Capitalizing upon a unique global positioning systems (GPS) dataset and GIS visualization techniques, this study quantifies the spatial distributions of non-work activities for drivers with different commuting distances, and for non-work activities that are chained in different types of travel (commute travel vs. non-commute travel). We find a strong dependence of non-work activity locations on commuting distances, and an influence of commuting routes on non-work activities chained in all types of travel. The results underline the importance of commuting routes in shaping the spatial configuration of non-work activities.
Journal of Urban Technology – Taylor & Francis
Published: Jul 1, 2013
Keywords: Non-Work Activity; Spatial Patterns; Visualization; GIS; GPS
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.