Development of a model of annual activity-travel patterns of leisure and vacation travel is reported. The simulation system, called Merlin, is a hybrid model system consisting of discrete choice models and rule-based models. It predicts the annual number of day trips and vacations, and the profile of such trips and vacations, including duration, travel party, timing, destination, type of accommodation, transport mode, day of departure, and expenditures. Separate models are derived for each of these facets. Microsimulation is used to predict aggregate patterns. The model's performance is satisfactory.
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References
1.
UmS., and CromptonJ. L.. Attitude Determinants in Tourism Destination Choice. Annals of Tourism Research, Vol. 17, 1990, pp. 432–448.
2.
CromptonJ. L.Structure of Vacation Destination Choice Sets. Annals of Tourism Research, Vol. 19, 1992, pp. 420–434.
3.
WoodsideA. G., and MacDonaldR.. General System Framework of Customer Choice Processes of Tourism Services. In Spoilt for Choice (GasserR. and WeiermairK., eds.), Kultur Verlag, Austria, 1994, pp. 31–59.
4.
OppermanM.Travel Horizon: A Valuable Analysis Tool?Tourism Management, Vol. 19, 1998, pp. 321–329.
5.
DirvenR. J. A. G., Van HalW. A. M., SliepenW. L. G., and WijkerL. J.. Vakantiekeuzen van Nederlanders. Research Report. NRIT/ Toerisme & Recreatie AVN, Breda/Voorschoten, Netherlands, 1998.
6.
BishopI., and GimblettH. R.. Management of Recreational Areas: GIS, Autonomous Agents and Virtual Reality. Environment and Planning B, Vol. 27, 2000, pp. 423–435.
7.
KitamuraR., YamamotoT., FujiiS., and SampathS.. A Discrete-Continuous Analysis of Time Allocation to Two Types of Discretionary Activities Which Accounts for Unobserved Heterogeneity. In Transportation and Traffic Theory (LesortJ. B., ed.), Elsevier, Oxford, England, 1996, pp. 431–453.
8.
HoldingD. M., and KreutnerM.. Achieving a Balance Between "Carrots" and "Sticks" for Traffic in National Parks: The Bayerischer Wald Project. Transport Policy, Vol. 5, 1998, pp. 175–183.
9.
MeloniI., CherchiE., and GualaL.. The Impact of Improvement in Transportation Supply on the Participation in Out-of-Home Activities. Working Paper. Centre for Research in Transport Modelling, Cagliari, Italy, 1998.
10.
BhatC. R., and MisraR.. Discretionary Activity Time Allocation of Individuals Between In-Home and Out-of-Home and Between Weekdays and Weekends. Transportation, Vol. 26, 1999, pp. 193–209.
11.
YamamotoT., and KitamuraR.. An Analysis of Time Allocation to In-Home and Out-of-Home Discretionary Activities Across the Working Days and Non-Working Days. Transportation, Vol. 26, 1999, pp. 211–230.
12.
BhatC. R., and GossenR.. Mixed Multinomial Logit Model Analysis of Weekend Recreational Episode Type Choice. Presented at 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2003.
13.
OkolaA.Departure Time Choice for Recreational Activities by Elderly Nonworkers. In Transportation Research Record: Journal of the Transportation Research Board, No. 1848, TRB, National Research Council, Washington, D.C., 2003, pp. 86–93.
14.
HolecekD. F.Trends in World-Wide Tourism. In New Challenges in Recreation and Tourism Planning (van LierH. N. and TaylorP. D., eds.), Elsevier, Amsterdam, Netherlands, 1993, pp. 17–34.
15.
van LierH. N.New Challenges in Recreation and Tourism Planning. In New Challenges in Recreation and Tourism Planning (van LierH. N. and TaylorP. D., eds.), Elsevier, Amsterdam, Netherlands, 1993, pp. 5–15.
16.
Jansen-VerbekeM. C.Leisure, Recreation and Tourism in Inner Cities: Explorative Case-Studies. Nederlandse Geografische Studies. Amsterdam/Nijmegen, 1988, Vol. 58.
17.
HagerstrandT.What About People in Regional Science?Papers of the Regional Science Association, Vol. 24, 1970, pp. 7–21.
18.
JacksonE. L.Variations in the Desire to Begin a Leisure Activity: Evidence of Antecedent Constraints?Journal of Leisure Research, Vol. 22, 1990, pp. 55–70.
19.
BhatC. R., and KoppelmanF. S.. A Conceptual Framework of Individual Activity Program Generation. Transportation Research, Vol. 27A, 1993, pp. 433–446.
20.
ArentzeT. A., and TimmermansH. J. P.. Albatross: A Learning-Based Transportation Oriented Simulation System. Eindhoven University of Technology, EIRASS, Eindhoven, Netherlands, 2000.
21.
van MiddelkoopM., BorgersA. W. J., and TimmermansH. J. P.. Complementary, Substitution and Independence Among Tourist Trips. Tourism Analysis, Vol. 4, 1999, pp. 63–74.
22.
van MiddelkoopM., BorgersA., ArentzeT., and TimmermansH. J. P.. Representing and Predicting Tourist Choice Behaviour. Tourism Analysis, Vol. 5, 2001, pp. 113–118.
23.
van MiddelkoopM., BorgersA. W. J., and TimmermansH. J. P.. Inducing Heuristic Principles of Tourist Choice of Travel Mode: A Rule-Based Approach. Journal of Travel Research, Vol. 42, 2003, pp. 75–84.
24.
van MiddelkoopM., BorgersA. W. J., and TimmermansH. J. P.. Modelling Tourist Destination Choice Using a Decision Table Induction Algorithm. Environment and Planning A, Vol. 35, 2003, pp. 1669–1688.
