Synthesis of Traveler Choice Research: Improving Modeling Accuracy for Better Transportation Decisionmaking
1.
Schönfelder, S. and Axhausen, K.W. (2003). “Activity Spaces: Measures of
Social Exclusion?” Transport Policy, Vol. 10, No. 4, pp. 273–286.
2.
Ortuzar, J. de D. and Willumsen, L.G. (2001). Modelling Transport,
Wiley, Chichester, UK.
3. Alexiadis,
V., Colyar, J., Halkias, J., Hranac, B., and McHale, G. (2004). “The Next
Generation Simulation Program.” ITE
Journal, Vol. 74, No. 8, pp. 22–26.
4.
Sheehan, R. (2010). “The Future of Transportation: Smart Cars/Smart Roads.”
Presented at the 2010 APWA Annual Congress and Exposition, Boston, MA.
5. Jan,
O., Horowitz, A.J., and Peng, Z.R. (2000). “Using Global Positioning System
Data to Understand Variations in Path Choice.” Transportation Research
Record 1725, pp. 37–44.
6.
Antonisse, R.W., Daly, A.J., and Ben-Akiva, M. (1989). “Highway Assignment
Method Based on Behavioral Models of Car Drivers’ Route Choice.” Transportation
Research Record 1220, pp. 1–11.
7.
Abdel-Aty, M.A., Jovanis, P.P., and Kitamura, R. (1996). “The Impact of Advanced
Transit Information on Commuters’ Mode Changing.” Journal of Intelligent
Transportation Systems, Vol. 3, No. 2, pp. 129–146.
8.
Polydoropoulou, A., Ben-Akiva, M., and Kaysi, I. (1994). “Influence of Traffic
Information on Drivers’ Route Choice Behavior.” Transportation Research
Record 1453, pp. 56–65.
9.
Khattak, A.J., Schofer, J.L., and Wang, M.H. (1995). “A Simple Time Sequential
Procedure for Predicting Freeway Incident Duration.” Journal of Intelligent
Transportation Systems, Vol. 2, No. 2, pp. 113–138.
10.
Srinivasan, K.K. and Mahmassani, H.S. (2000). “Modeling Inertia and Compliance
Mechanisms in Route Choice Behavior Under Real-Time Information.” Transportation Research Record 1725, pp. 45–53.
11.
Mahmassani, H.S. and Herman, R.
(1990). “Interactive Experiments for the Study of Tripmaker Behaviour
Dynamics in Congested Commuting Systems.” Developments in Dynamic and
Activity-Based Approaches to Travel Analysis, P. Jones (ed.), pp. 272–298, Gower,
Aldershot, UK.
12.
Avineri, E. and Prashker, J.N. (2005). “Sensitivity to Travel Time Variability:
Travelers’ Learning Perspective.” Transportation Research Part C, Vol. 13,
pp. 157–183.
13.
Avineri, E. and Prashker, J.N. (2006). “The Impact of Travel Time
Information on Travelers’ Learning Under Uncertainty.” Transportation,
Vol. 33, pp. 393–408.
14. Kraan,
M., Mahmassani, H., and Huynh, N. (2000). “Traveler Responses to Advanced Traveler
Information Systems for Shopping Trips: Interactive Survey Approach.” Transportation
Research Record 1725, pp. 116–123.
15.
Hensher, D.A. and King, J. (2001). “Parking Demand and Responsiveness to
Supply, Pricing and Location in the Sydney Central Business District.” Transportation
Research Part A, Vol. 35, No. 3, pp. 177–196.
16.
Handy, S., Weston, L., and Mokhtarian, P.L. (2005). “Driving by Choice or
Necessity?” Transportation Research Part A, Vol. 39, Nos. 2–3, pp. 183–203.
17.
Puget Sound Regional Council (2008). Travel Choices Study: Summary
Report, Seattle, WA. Accessed online: December 12, 2012. (http://psrc.org/assets/37/summaryreport.pdf)
18.
Gupta, S. and Kockelman, K. (2006). “Road
Pricing Simulations: Traffic, Land Use and Welfare Impacts for Austin, Texas.” Transportation
Planning and Technology, Vol. 29, No. 1, pp. 1–23.
19.
Gulipalli, S. and Kockelman, K. (2008).
“Credit-Based Congestion Pricing: A Dallas-Fort Worth Application.” Transport
Policy, Vol. 15, No. 1, pp. 23–32.
20.
Saleh, W. and Farrell, S. (2005). “Implications of Congestion Charging for
Departure Time Choice: Work and Non-Work Schedule Flexibility.” Transportation
Research Part A, Vol. 39, pp. 773–791.
21.
Turnbull, K.F., Levinson, H.S., and
Pratt, R.H. (2006). “Chapter 2: HOV Facilities.” Traveler Response to Transportation System Changes, TCRP Report 95, Transit Cooperative Research Program, Transportation Research Board,
Washington, DC. Accessed online: December 1, 2011. (http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_rpt_95c2.pdf)
22.
Cervero, R. and Kockelman, K. (1998). “Travel Demand and the 3Ds:
Density, Diversity, and Design.” Transportation Research Part D, Vol. 2,
No. 3, pp. 199–219.
23.
Soltani, A. and Primerano, F. (2005). “The Effects of Community Design.”
Presented at the 28th Australasian Transport Research Forum, Sydney, Australia.
24.
Naess, P. (2003). “Urban Structures
and Travel Behaviour. Experiences from Empirical Research in Norway and Denmark.” European Journal of
Transport and Infrastructure Research, Vol. 3, No. 2, pp. 155–178.
25.
Naess, P. and Jensen, O. (2004). “Urban Structure Matters, Even in a Small
Town.” Journal of Environmental Planning and Management, Vol. 47, No. 1,
pp. 35–57.
26.
Cervero, R. (2002). “Built Environments
and Mode Choice: Toward a Normative Framework.” Transportation
Research Part D, Vol. 7, No. 4, pp. 265–284.
27.
Newbold, K.B., Scott, D., Spinney, J.E.L., Kanaroglou, P., and Paez, A. (2005).
“Travel Behavior Within Canada’s Older Population: A Cohort Analysis.” Journal
of Transport Geography, Vol. 13, No. 4, pp. 340–351.
28.
Polk, M. (2003). “Are Women
Potentially More Accommodating than Men to a Sustainable Transportation System in Sweden?” Transportation
Research Part D, Vol. 8, No. 2, pp. 75–95.
29.
Polk, M. (2004). “The Influence of Gender on Daily Car Use and on Willingness
to Reduce Car Use in Sweden.” Journal of Transport Geography, Vol. 12,
No. 3, pp. 185–195.
30.
Moriarty, P. and Honnery, D. (2005). “Determinants of Urban Travel in
Australia.” Presented at the 28th Australasian Transport Research Forum,
Sydney, Australia.
31.
Best, H. and Lanzendorf, M. (2005). “Division of Labour and Gender Differences
in Metropolitan Car Use: An Empirical Study in Cologne, Germany.” Journal of
Transport Geography, Vol. 13, No. 2, pp. 109–121.
32.
Ryley, T. (2005). “Use of Non-Motorised Modes and Life Stage in
Edinburgh.” Journal of Transport Geography, Vol. 14, No. 5, pp. 367–375.
33.
Dieleman, F.M., Dijst, M., and Burghouwt, G. (2002). “Urban Form and
Travel Behaviour: Micro-Level Household Attributes and Residential Context.” Urban
Studies, Vol. 39, No. 3, pp. 507–527.
34. Giuliano, G. (2003). “Travel, Location and Race/Ethnicity.”
Transportation Research Part A, Vol. 37, No. 4, pp. 351–372.
35.
Giuliano, G. and Narayan, D. (2003). “Another Look at Travel Patterns and
Urban Form: the U.S. and Great Britain.” Urban Studies, Vol. 11, No. 40,
pp. 2295–2312.
36.
Giuliano, G. and Dargay, J. (2006). “Car Ownership, Travel and Land Use:
A Comparison of the U.S. and Great Britain.”
Transportation Research Part A, Vol. 40, No. 2, pp. 106–124.
37.
Bomberg, M. and Kockelman, K. (2011).
“Traveler Response to the 2005 Gas Price Spike.” Household Energy:
Economics, Consumption and Efficiency, B. Mendez and J. Pena (eds.), NOVA
Science Publishers, Hauppauge, NY.
38.
Boarnet, M. and Crane, R. (2001). “The Influence of Land Use on Travel Behavior:
Specification and Estimation Strategies.” Transportation Research Part A,
Vol. 35, No. 9, pp. 823–845.
39.
Vaca, E. and Kuzmyak, J.R. (2004).
“Chapter 13: Parking Pricing and Fees.” Traveler Response to
Transportation System Changes, TCRP Report 95, Transit Cooperative Research
Program, Transportation Research Board, Washington, DC. Accessed online:
December 12, 2012. (http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_rpt_95c13.pdf)
40. Kuzmyak, J.R. (2003). “Chapter
18: Parking Management and Supply.” Traveler Response to
Transportation System Changes, TCRP Report 95, Transit Cooperative Research
Program, Transportation Research Board, Washington, DC. Accessed online:
December 12, 2012. (http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_rpt_95c18.pdf)
41.
Schlich, R. and Axhausen, K.W. (2003). “Habitual Travel Behaviour:
Evidence from a Six-Week Travel Diary.” Transportation, Vol. 30, No. 1, pp.
13–36.
42.
Cherchi, E. and Manca, F. (2011). “Accounting for Inertia in Modal Choices:
Some New Evidence Using a RP/SP Dataset.” Transportation, Vol. 38, No. 4,
pp. 679–695.
43.
Chorus, C.G., Molin, E.J.E., Van Wee, B., Arentze, T.A., and Timmermans,
H.J.P. (2006). “Responses to Transit Information Among Car-Drivers: Regret-Based
Models and Simulations.” Transportation Planning and Technology, Vol. 29,
No. 4, pp. 249–271.
44.
Raphael, S. and Rice, L. (2002). “Car Ownership, Employment, and Earnings.”
Journal of Urban Economics, Vol. 52, No. 1, pp. 109–130.
45. Hiscock,
R., Macintyre, S., Kearns, A., and Ellaway, A. (2002). “Means of Transport and Ontological Security: Do Cars Provide Psycho-Social
Benefits to Their Users?” Transportation Research Part D, Vol. 7, No. 2,
pp. 119–135.
46.
Cullinane, S. (2002). “The Relationship Between Car Ownership and Public
Transport Provision: A Case Study of Hong Kong.” Transport Policy, Vol. 9,
No. 1, pp. 29–39.
47.
Fujii, S. and Kitamura, R. (2000). “Evaluation
of Trip-Inducing Effects of New Freeways Using a Structural Equations Model System
of Commuters’ Time Use and Travel.” Transportation Research Part B, Vol.
34, pp. 339–354.
48.
Handy, S. (2002). “Travel Behaviour-Land Use Interactions: An Overview
and Assessment of the Research.” In Perpetual Motion: Travel Behavior
Research Opportunities and Application Challenges, H.S. Mahmassani (ed.), Pergamon
Press, Oxford, UK.
49.
Holtzclaw, J., Clear, R., Dittmar, H., Goldstein, D., and Haas, P.
(2002). “Location Efficiency: Neighborhood and Socio-Economic Characteristics
Determine Auto Ownership and Use—Studies in Chicago, Los Angeles and San
Francisco.” Transportation Planning and Technology, Vol. 25, No. 1, pp.
1–27.
50.
Lund, H. (2006). “Reasons for Living in a Transit Oriented Development,
and Associated Transit Use.” Journal of the American Planning Association,
Vol. 72, No. 3, pp. 357–366.
51.
Cao, X., Mokhtarian, P.L., and Handy, S. (2009). “Examining the Impacts of
Residential Self-Selection on Travel Behaviour: A Focus on Empirical Findings.”
Transport Reviews, Vol. 29, No. 3, pp. 359–395.
52.
Mokhtarian, P. and Cao, X. (2008). “Examining the Impacts of Residential
Self-Selection on Travel Behavior: A Focus on
Methodologies.” Transportation Research Part B, Vol. 42, No. 3,
pp. 204–228.
53.
Zhou, B. and Kockelman, K. (2008). “Self-Selection in Home Choice: Use
of Treatment Effects in Evaluating the Relationship Between the Built
Environment and Travel Behavior.” Transportation Research Record 2077,
pp. 106–112.
54.
Frank, L., Saelens, B., Powell, K.E.,
and Chapman, J.E. (2007). “Stepping Towards Causation: Do Built
Environments or Neighborhood and Travel Preferences Explain Physical Activity,
Driving, and Obesity?” Social Sciences and Medicine, Vol. 65, No. 9, pp.
1898–1914.
55.
Bento, A., Cropper, M., Mobarak, A., and Vinha, K. (2005). “The Effects
of Urban Spatial Structure on Travel Demand in the United States.” The
Review of Economics and Statistics, Vol. 87, No. 3, pp. 466–478.
56.
Aditjandra, P.T., Cao, X., and Mulley, C. (2012). “Understanding Neighbourhood
Design Impact on Travel Behavior: An Application of Structural Equations Model to
a British Metropolitan Data.” Transportation Research Part A, Vol. 46,
pp. 22–32.
57.
Cao, X., Mokhtarian, P.L., and Handy, S. (2007). “Do Changes in Neighborhood
Characteristics Lead to Changes in Travel Behavior? A Structural Equations Modelling
Approach.” Transportation, Vol. 34, No. 5, pp. 535–556.
58.
Gärling, T. and Axhausen, K.W. (2003). “Introduction: Habitual Travel Choice.”
Transportation, Vol. 30, No. 1, pp. 1–11.
59.
Mahmassani, H.S. and Chang, G.L. (1986).
“Experiments with Departure Time Choice Dynamics of Urban Commuters.” Transportation Research Part B, Vol. 4 No. 20,
pp. 297–320.
60.
Srinivasan, K.K. and Mahmassani, H.S.
(2000). “Modeling Inertia and Compliance Mechanisms in Route Choice Behavior
Under Real-Time Information.” Transportation Research Record 1725, pp.
45–53.
61.
Bayarma, A., Kitamura, R., and Susilo, Y.O.
(2007). “Recurrence of Daily Travel Patterns: Stochastic Process Approach to
Multiday Travel Behavior.” Transportation Research Record 2021, pp.
55–63.
62.
Charles River Associates (1978). On the Development of a Theory of Traveler
Attitude-Behavior Interrelationships, U.S. Department of Transportation, Washington,
DC.
63.
Bamberg, S. (2000). “The Promotion of New Behavior by Forming an Implementation
Intention: Results of a Field Experiment in the Domain of Travel Mode Choice.” Journal
of Applied Social Psychology, Vol. 30, No. 9, pp. 1903–1922.
64.
Jones, P.M., Dix, M.C., Clarke, M.I.,
and Heggie, I.G. (1983). Understanding Travel Behaviour, Gower,
Aldershot, UK.
65.
Kostyniuk, L.P. and Kitamura, R. (1983). “An Empirical Investigation of Household
Time Space Paths.” Recent Advances in
Travel Demand Analysis, S. Carpenter and P.M. Jones (eds.), pp. 266–289,
Gower, Aldershot, UK.
66.
Fujii, S., Kitamura, R., and Kishizawa, K. (1999). “Analysis of Individuals’
Joint-Activity Engagement Using a Model System of Activity-Travel Behavior and Time
Use.” Transportation Research Record 1676, pp. 11–19.
67.
Freedman, O. and Kern, C.R. (1997). “A Model of Workplace and Residence Choice
in Two-Worker Households.” Regional Science and Urban Economics, Vol. 27,
pp. 241–260.
68.
Green, A.E. (1996). “A Question of Compromise?
Case Study Evidence on the Location and Mobility Strategies of Dual
Career Households.” Regional Studies, Vol. 31, pp. 641–657.
69.
Whitehead-Frei, C. and Kockelman, K. (2010).
“Americans’ Time Use: A Focus on Women and
Child-Rearing via Structural Equations Modeling.” Transportation Research
Record 2163, pp. 32–44.
70.
Srinivasan, S. and Bhat, C.R. (2005).
“Modeling Household Interactions in Daily In-Home and Out-of-Home
Maintenance Activity Participation.” Transportation, Vol. 32, pp. 523–544.
71.
Lee, Y., Washington, S., and Frank, L.D. (2009). “Examination of Relationships
Between Urban Form, Household Activities and Time Allocation in the Atlanta
Metropolitan Region.” Transportation Research Part A, Vol. 43, pp. 360–373.
72.
Borgers, A.W.J., Hofman, F., and Timmermans, H.J.P. (2002). “Conditional
Choice Modelling of Time Allocation Among Spouses in Transport Settings.” European
Journal of Transportation and Infrastructure Research, Vol. 2, pp. 5–17.
73.
Ettema, D.F., Schwanen, T., and Timmermans, H.J.P. (2004). “The Effect of
Locational Factors on Task and Time Allocation in Households.” Presented at the
83rd Annual Meeting of the Transportation Research Board, Washington, DC.
74.
Zhang, J., Timmermans, H.J.P., and Borgers, A.W.J. (2005). “A Model of Household
Task Allocation and Time Use.” Transportation Research Part B, Vol. 39,
No. 1, pp. 81–95.
75. Zhang,
J., Timmermans, H.J.P., and Borgers, A.W.J. (2005). “Comparative Analysis of Married Couples’ Task and Time Allocation Behavior on
Weekdays vs. Weekends.” Presented at the
84th Annual Meeting of the Transportation Research Board, Washington, DC.
76.
Axhausen, K.W. (2008). “Accessibility: Long-Term Perspectives.” Journal of Transport and Land Use, Vol.
1, No. 2, pp. 5–22.
77.
Carrasco, J.A. and Miller, E. (2006). “Exploring the Propensity to Perform
Social Activities: A Social Network Approach.” Transportation, Vol. 33, pp.
463–480.
78.
Frei, A. and Axhausen, K.W. (2007). “Size and Structure of Social Network
Geographies.” Presented at Frontiers in
Transportation 2007: Social Interactions, Amsterdam, Netherlands.
79.
Silvis, J., Niemeier, D., and D’Souza, R. (2006). “Social Networks and Travel
Behavior: Report from an Integrated Travel Diary.” Presented at the 11th
International Conference on Travel Behaviour Research, Kyoto, Japan.
80.
Van den Berg, P.E.W., Arentze, T.A., and Timmermans, H.J.P. (2009). “Size
and Composition of Ego-Centered Social Networks and Their Effect on Travel Distance
and Contact Frequency.” Transportation Research Record 2135, pp. 1–9.
81.
Kowald, M., Frei, A., Hackney, J.K., Illenberger, J., and Axhausen, K.W.
(2010). “Collecting Data on Leisure Travel: The Link Between Leisure Contacts and
Social Interactions.” Procedia—Social and Behavioral Sciences, Vol. 4, pp.
38–48.
82.
Hackney, J. and Axhausen, K.W. (2006). “An Agent Model of Social Network
and Travel Behavior Interdependence.” Presented at the 11th International Conference
on Travel Behaviour Research, Kyoto, Japan.
83.
Páez, A. and Scott, D.M. (2004). “Social
Influence on Travel Behavior: A Simulation Example of the Decision to Telecommute.” Environment
and Planning A, Vol. 39, No. 3, pp. 647–665.
84.
Van den Berg, P.E.W., Arentze, T.A., and Timmermans, H.J.P. (2010). “A Multilevel
Path Analysis of Contact Frequency Between
Social Network Members, Journal of Geographical Systems,
Vol. 1, pp. 1–17.
85.
Harvey, A.S. and Taylor, M.E. (2000). “Activity Settings and Travel Behaviour:
A Social Contact Perspective.” Transportation, Vol. 27, No. 1, pp. 53–73.
86.
Han, Q., Arentze, T., Timmermans,
H.J.P., Janssens, D., and Wets, G. (2007). “The Effects of Social
Networks on Choice Set Dynamics: Results of Numerical Simulations.” Presented
at Frontiers in Transportation 2007: Social Interactions, Amsterdam,
Netherlands.
87. Molin, E., Arentze, T., and Timmermans, H.J.P.
(2008). “Eliciting Social Network Data.” ISCTSC
2008 Conference Contributed Papers,
P. Bonell and M. Lee-Gosselin (eds.), pp. 1–16.
88. Bradley,
M., Bowman, J., Lawton, T.K., Ben-Akiva, M., Rossi, T., et al. (1998). A
System of Activity-Based Models for Portland, Oregon, Report No.
DOT-T-99-02, Travel Model Improvement Program, Federal Highway Administration, Washington,
DC.
89. Bradley, M., Outwater, M., Jonnalagadda, N., and Ruiter,
E. (2001). “Estimation of an Activity-Based Microsimulation Model for
San Francisco.” Presented at the 80th Annual Meeting of the Transportation Research
Board, Washington, DC.
90. Vovsha,
P., Petersen, E., and Donnelly, R. (2002). “Microsimulation in Travel Demand
Modeling: Lessons Learned from the New York Best Practice Model.” Transportation
Research Record 1805, pp. 68–77.
91. PB Consult (2005). The MORPC Travel Demand Model
Validation and Final Report, Prepared for the Mid-Ohio Regional Planning
Commission, Columbus, OH.
92. Bowman,
J.L. and Bradley, M.A. (2005). “Disaggregate Treatment
of Purpose, Time of Day and Location in an Activity-Based Regional Travel
Forecasting Model.” Presented at the 2005 European Transport Conference,
Strasbourg, France.
93. Bowman,
J. and Bradley, M.A. (2006). Regional Transportation Plan Major Update
Project for the Atlanta Regional Commission, General Modeling Task 13
(Activity/Tour-Based Models), Progress Report for the Year 2005, PB
Consult, New York, NY.
94. Bhat, C.R., Guo, J.Y., Srinivasan, S., and
Sivakumar, A. (2004). “Comprehensive Econometric Microsimulator for
Daily Activity-Travel Patterns.” Transportation Research Record 1894,
pp. 57–66.
95. Pendyala, R.M., Kitamura, R., Kikuchi, A., Yamamoto,
T., and Fujii, S. (2005). “FAMOS: The Florida Activity Mobility
Simulator.” Transportation Research Record 1921, pp. 123–130.
96.
Bowman, J.L. and Ben-Akiva, M.E.
(2001). “Activity-Based Disaggregate Travel Demand Model System with
Activity Schedules.” Transportation Research Part A, Vol. 35, No. 1, pp.
1–28.
97.
McFadden, D. and Reid, F. (1975). “Aggregate Travel Demand Forecasting from
Disaggregated Behavioral Models.” Transportation Research Record 534,
pp. 1–17.
98.
Ben-Akiva, M.E. (1973). Structure of Passenger Travel Demand Models,
Doctoral thesis, Department of Civil Engineering, Massachusetts Institute of
Technology, Cambridge, MA.
99.
Hensher, D.A. (1975). “Perception and Commuter Modal Choice—An Hypothesis.”
Urban Studies, Vol. 12, No. 1, pp. 101–104.
100.
Algers, S., Hansen, S., and Tegner, G. (1974). “On the Evaluation of Comfort
and Convenience in Urban Transportation—A Choice Analytic Approach.” Transportation
Research Forum 15, No. 1, pp. 470–481.
101.
Liu, R., Pendyala, R.M., and Polzin, S. (1998). “Simulation of the Effects
of Intermodal Transfer Penalties on Transit Use.” Transportation Research
Record 1623, pp. 88–95.
102.
Ben-Akiva, M.E., Walker, J., Bernardino,
A.T., Gopinath, D.A., Morikawa, T., et al. (2002). “Integration of Choice
and Latent Variable Models.” In Perpetual Motion: Travel Behavior Research
Opportunities and Application Challenges, H.S. Mahmasani (ed.), pp. 431–470,
Elsevier, Oxford, UK.
103. Clarke, M.I.
(1986). “Activity Modelling—A Research Tool or a Practical Planning Technique?”
Behavioral Research for Transport Policy, pp. 3–15, VNU Science Press,
Utrecht, Netherlands.
104. Recker, W.W.,
McNally, M.G., and Root, G.S. (1986). “A Model of Complex Travel Behavior.” Transportation
Research Part A, Vol. 20, No. 4, pp. 307–330.
105. Garling, T.,
Brannas, K., Garvill, J., Golledge, R.G., Gopal, S., et al. (1989). “Household Activity Scheduling.” Transport Policy
Management and Technology Towards 2001: Selected Proceedings of
the Fifth World Conference on Transport Research, Vol. IV, pp. 235–248, Western
Periodicals, Ventura, CA.
106. Kitamura, R., Pas, E.I., Lula, C.V., Lawton, T.K.,
and Benson, P.E. (1996). “The Sequenced Activity Mobility Simulator (SAMS):
An Integrated Approach to Modeling Transportation, Land Use and Air Quality.” Transportation,
Vol. 23, No. 3, pp. 267–291.
107. Ettema, D.,
Borgers, A., and Timmermans, H. (1993). “Simulation Model of Activity
Scheduling Behavior.” Transportation Research Record 1413, pp. 1–11.
108. Arentze, T. and
Timmermans, H. (2000). ALBATROSS: A Learning-Based Transportation Oriented
Simulation System, EIRASS, Eindhoven University of Technology, Eindhoven,
Netherlands.
109. Miller, E.J. and
Roorda, M.J. (2003). “A Prototype Model of 24-Hour Household Activity
Scheduling for the Toronto Area.” Transportation Research Record 1831, pp.
114–121.
110. Los Alamos
National Laboratory (2007). TRANSIMS, TRansportation ANalysis and SIMulation
System, Los Alamos, NM. Accessed online: November 1, 2011. (http://sourceforge.net/projects/transims/)
111. MATSim (2007). Multi-Agent Transport Simulation
Toolkit. Accessed online: November 1, 2011. (http://www.matsim.org)
112.
Balmer, M., Cetin, N., Nagel, K., and Raney, B. (2004). “Towards Truly Agent-Based
Traffic and Mobility Simulations.” Proceedings of the Third International
Joint Conference on Autonomous Agents and Multiagent Systems, Vol. 1,
pp. 60–67.
113.
Bekhor, S., Dobler, C., and Axhausen,
K.W. (2010). Integration of Activity-Based with Agent-Based Models: An Example from the Tel Aviv Model
and MATSim, Working paper 628, Institute
for Transport Planning and Systems, Swiss Federal Institute of Technology,
Zurich, Switzerland.
114.
Lam, W.H.K. and Huang, H.J. (2003). “Combined Activity/Travel Choice
Models: Time-Dependent and Dynamic Versions.” Networks and Spatial Economics,
Vol. 3, pp. 323–347.
115.
Lin, D.Y., Eluru, N.S., Waller, T., and Bhat, C.R. (2008). “Integration
of Activity-Based Modeling and Dynamic Traffic Assignment.” Transportation
Research Record 2076, pp. 52–61.
116.
Lu, C.C. and Mahmassani, H.S. (2011). “Modeling
Heterogeneous Network User Route and Departure Time Responses to Dynamic Pricing.”
Transportation Research Part C, Vol. 19, pp. 320–337.
117.
Esser, J. and Nagel, K. (2001). “Iterative
Demand Generation for Transportation Simulations.” The Leading Edge of Travel Behavior Research, D. Hensher and J. King (eds.), pp. 659–681, Pergamon
Press, Oxford, UK.
118.
Rieser, M., Nagel, K., Beuck, U., Balmer, M., and Rümenapp, J. (2007). “Agent-Oriented
Coupling of an Activity-Based Demand Generation with a Multi-Agent Traffic
Simulation.” Transportation Research Record 2021, pp. 10–17.
119.
Armoguum, J., Axhausen, K.W., and Madre, J.L. (2009). “Lessons from an Overview
of National Surveys.” Transport Survey
Methods, P. Bonnel, J. Zmud, and M. Lee-Gosselin (eds.), pp. 621–634,
Emerald, Bingley, UK.
120.
Srinivasan, S. and Rogers, P. (2005).
“Travel Behavior of Low-Income Residents: Studying Two Contrasting Locations in the City of Chennai,
India.” Journal of Transport Geography, Vol. 13, No. 3, pp. 265–274.
121.
Ampt, E., Wundke, J., and Stopher, P.
(2006). “Households on the Move: New Approach to Voluntary Travel Behavior
Change.” Transportation Research Record 1985, pp. 98–105.
122.
Rose, G. and Ampt, E. (2001). “Travel
Blending: An Australian Travel Awareness Initiative.” Transportation
Research Part D, Vol. 6, No. 2, pp. 95–110.
123.
Kunert, U. and Follmer, R. (2005). “Methodological Advances in National
Travel Surveys: Mobility in Germany 2002.” Transport Reviews, Vol. 25,
No. 4, pp. 415–431.
124.
Bhat, C. and Lockwood, A. (2004). “On Distinguishing Between Physically Active
and Physically Passive Episodes and Between Travel and Activity Episodes: An Analysis
of Weekend Recreational Participation in the San Francisco Bay Area.” Transportation
Research Part A, Vol. 38, No. 8, pp. 573–592.
125.
Van de Walle, S. and Steenberghen, T. (2006). “Space and Time Related
Determinants of Public Transport Use in Trip Chains.” Transportation
Research Part A, Vol. 40, No. 2, pp. 151–162.
126. Garvill, J.,
Marell, A., and Nordlund, A. (2003). “Effects of Increased Awareness on Choice
of Travel Mode.” Transportation, Vol. 30, No. 1, pp. 63–69.
127.
Kenyon, S. (2006). “The ‘Accessibility
Diary:’ Discussing a New Methodological Approach to Understand the Impact
of Internet Use Upon Personal Travel and Activity Participation.” Journal of
Transport Geography, Vol. 14, No. 2, pp. 123–134.
128.
Larson, P.D. and Poist, R.F. (2004). “Improving Response Rates to Mail
Surveys: A Research Note.” Transportation Journal, Vol. 43, No. 4, pp.
67–75.
129.
Bliemer, M.C.J. and Rose, J.M. (2006). “Designing Stated Choice Experiments:
State-of-the-Art.” Presented at the 11th International Conference on Travel
Behaviour Research, Kyoto, Japan.
130. Bradley, M.A.
and Daly, A.J. (1997). “Estimation of Logit Models Using Mixed Stated Preference
and Revealed Preference Information.” Understanding Travel Behaviour in an
Era of Change, P. Stopher and M. Lee-Gosselin (eds.), Pergamon Press,
Oxford, UK.
131. Cantillo, V., Ortuzar, J., and Williams, H.
(2007). “Modeling Discrete Choices in the Presence of Inertia and Serial
Correlation.” Transportation Science, Vol. 41, No. 2, pp. 195–205.
132.
Kitamura, R., Fujii, S., and Pas, E.I. (1997). “Time-Use Data, Analysis and
Modeling: Toward the Next Generation of Transportation Planning Methodologies.”
Transport Policy, Vol. 4, No. 4, pp. 225–235.
133.
Mokhtarian, P.L., Salomon, I., and Redmond, L.S. (2001). “Understanding
the Demand for Travel: It’s Not Purely ‘Derived.’” Innovation, Vol. 14,
No. 4, pp. 355–380.
134.
Jara-Diaz, S. (2002).
“The Goods/Activities Framework for Discrete Travel Choices: Indirect Utility and Value of Time.” In Perpetual Motion:
Travel Behavior Research Opportunities and Application Challenges, H.S.
Mahmassani (ed.), Pergamon Press, Oxford, UK.
135.
Kwan, M.P. (2002). “Time, Information Technologies, and the Geographies of
Everyday Life.” Urban Geography, Vol. 23, No. 5, pp. 471–485.
136.
Mokhtarian, P. (2006). “Telecommunications and Travel: The Case for
Complementarity.” Journal of Industrial Ecology, Vol. 6, No. 2, pp. 43–57.
137.
Frei, C. and Mahmassani, H.S. (2011). “Private Time on Public Transit:
Dimensions of Information and Telecommunication Use of Chicago Transit Riders.”
The 2011 Annual Meeting Compendium of Papers, Transportation Research Board, Washington, DC.
138.
Pendyala, R.M., Goulias, K., and
Kitamura, R. (1991). “Impact of Telecommuting on Spatial and Temporal Patterns
of Household Travel.” Transportation, Vol. 18, pp. 411–432.
139.
Urry, J. (2002). “Mobility and Proximity.” Sociology, Vol. 36,
No. 2, pp. 255–274.
140.
Kwan, M.P. (2000). “Interactive Geovisualization of Activity-Travel Patterns
Using Three-Dimensional Geographical Information Systems: A Methodological Exploration
with a Large Data Set.” Transportation Research Part C, Vol. 8,
Nos. 1–6, pp. 185–203.
141.
Mahmassani, H.S. (2009). “Learning from Interactive Experiments: Travel
Behavior and Complex System Dynamics.” The Expanding Sphere of Travel
Behavior Research, R. Kitamura, T. Yoshii, and T. Yamamoto (eds.), Emerald,
Bingley, UK.
142.
Mahmassani, H.S., Joseph, T., and Jou, R.C. (1993). “A Survey Approach
for the Study of Urban Commuter Choice Dynamics.” Transportation Research
Record 1412, pp. 80–89.
143.
Mahmassani, H.S. and Jou, R.C. (2000). “Transferring Insights into Commuter
Behavior Dynamics from Laboratory Experiments to Field Surveys.” Transportation
Research, Vol. 34A, pp. 243–260.
144.
Chen, P.S.T. and Mahmassani, H.S. (1993). “Dynamic Interactive Simulator
for Studying Commuter Behavior Under Real-Time
Traffic Information Supply Strategies.” Transportation Research
Record 1413, pp. 12–21.
145. Mahmassani, H.S. and Liu, Y.H. (1999). “Dynamics
of Commuting Decision Behaviour Under Advanced Traveler Information
Systems.” Transportation Research, Vol. 7C, pp. 91–107.
146.
Srinivasan, K.K. and Mahmassani, H.S. (1999). “Role of Congestion and Information
in Trip-Makers’ Dynamic Decision Processes: Experimental Investigation.” Transportation
Research Record 1676, pp. 44–52.
147. Mahmassani, H.S.
and Srinivasan, K.K. (2004). “Experiments with Route and Departure Time Choices
of Commuters Under Real-Time Information: Heuristics and Adjustment Processes.”
Human Behavior and Traffic Networks, M. Schreckenburg and R. Selten
(eds.), pp. 97–132, Springer-Verlag, Berlin, Germany.
148.
Selten, R., Chmura, T., Pitz, T., Kube, S., and Schreckenberg, M. (2007).
“Commuters Route Choice Behavior.” Games and Economic Behavior, Vol. 58,
No. 2, pp. 394–406.
149.
Roth, A.E. and Erev, I. (1995). “Learning in Extensive-Form Games:
Experimental Data and Simple Dynamic Models in the Intermediate Term.” Games
and Economic Behavior, Vol. 8, No. 1, pp. 164–212.
150.
Mahmassani, H.S., Chen, R., Huang, Y., Contractor, N., and Williams, D.
(2010). “Time to Play? Activity Engagement in Multiplayer Online Role Playing
Games.” Transportation Research Record 2157, pp. 129–137.