Micro-simulation of daily activity-travel patterns for travel demand forecasting

Transportation

Volumn 27, Issue 1, 2000, Pages 25-51

  Kitamura, Ryuichi ^a   Chen, Cynthia ^b   Pendyala, Ram M ^c   Narayanan, Ravi ^d  

^a KYOTO UNIVERSITY   (Japan)

^b University of California   (United States)

^c University of South Florida   (United States)

^d RDC Inc   (United States)

Author keywords

Daily activity travel patterns; Forecasting; Micro simulation; Synthetic travel patterns

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; SOCIAL ASPECTS;

DAILY ACTIVITY-TRAVEL PATTERNS; MICRO-SIMULATION; SYNTHETIC TRAVEL PATTERNS;

TRANSPORTATION ROUTES;

FORECASTING METHOD; METHODOLOGY; TRAVEL BEHAVIOR; TRAVEL DEMAND;

EID: 0034053269     PISSN: 00494488     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1005259324588     Document Type: Article

References (30)

1. Adler T & Ben-Akiva M (1979) A theoretical and empirical model of trip chaining behavior. Transportation Research B 13B: 243-257.
2. Bhat C & Koppelman FS (1994) A structural and empirical model of subsistance activity behavior and income. Transportation 21: 71-89.
3. Dickey JW (1983) Metropolitan Transportation Planning. Second Edition. New York: McGraw Hill.
4. Demoncich T & McFadden D (1975) Urban Travel Demand - A Behavioral Analysis. Amsterdam: North Holland.
5. Goulias KG (1997) Activity-based travel forecasting: What are some issues? In: Texas Transportation Institute (ed) Activity-Based Travel Forecasting Conference, June 2-5, 1996: Summary, Recommendations, and Compendium of Papers, Travel Model Improvement Program, US Department of Transportation, US Environmental Protection Agency, pp 37-49.
6. Hägerstrand T (1970) What about people in regional science? Ninth European Congress of the Regional Science Association Papers 24: 7-21.
7. Hanson S & Marble DF (1971) A preliminary typology of urban trip linkages. The East Lakes Geographer 7: 49-59.
8. Horton FE & Shuldiner PW (1967) The analysis of land use linkages. Highway Research Record 165: 96-107.
9. Kitamura R (1983) A sequential, history dependent approach to trip-chaining behavior. Transportation Research Record 944: 13-22.
10. Kitamura R (1995) Time-of-day characteristics of travel: an analysis of 1990 NPTS data. In: Special Reports on Trip and Vehicle Attributes, 1990 NPTS Report Series, Publication No. FHWA-PL-95-033, US Department of Transportation, Federal Highway Administration, Washington, DC, February, pp 4-1-4-56.
11. Kitamura R (1997) Applications of models of activity behavior for activity based demand forecasting. In: Texas Transportation Institute (ed) Activity-Based Travel Forecasting Conference, June 2-5, 1996: Summary, Recommendations, and Compendium of Papers, Travel Model Improvement Program, US Department of Transportation, US Environmental Protection Agency, pp 119-150.
12. Kitamura R & Bunch DS (1990) Heterogeneity and state dependence in household car ownership: A panel analysis using ordered-response probit models with error components. In: Koshi M (ed) Transportation and Traffic Theory (pp 477-496). New York: Elsevier.
13. Kitamura R & Chen C (1996) Development of a Synthetic Daily Travel Pattern Generator. A final report prepared for Los Alamos National Laboratory under Agreement 2546M0015-3A, Institute of Transportation Studies, University of California, Davis.
14. Kitamura R, Chen C & Narayanan R (1998) The effects of time of day, activity duration and home location on travelers' destination choice behavior. Transportation Research Record 1645: 76-81.
15. Kitramura R, Chen C & Pendyala RM (1997) Generation of synthetic daily activity-travel patterns. Transportation Research Record 1607: 154-162.
16. Kitamura R & Fujii S (1998) Two computational process models of activity-travel behavior. In: Gärung T, Litila T & Westin K (eds) Theoretical Foundations of Travel Choice Modelling (pp 251-279). Oxford: Pergamon Press.
17. th Annual Meeting of Transportation Research Board, Washington, DC.
18. Kitamura R & Kermanshah M (1984) A Sequential model of interdependent activity and destination choices. Transportation Research Record 987: 81-89.
19. Kondo K (1974) Estimation of person trip patterns and modal split. In: Buckley DJ (ed), Transportation and Traffic Theory (pp 715-742). New York: Elsevier.
20. Miller E (1996) Microsimulation and activity-based forecasting. In: Texas Transportation Institute (ed) Activity-Based Travel Forecasting Conference, June 2-5, 1996: Summary, Recommendations, and Compendium of Papers, Travel Model Improvement Program, US Department of Transportation, US Environmental Protection Agency, pp 151-172.
21. Nystuen JD (1967) A theory and simulation of intra-urban travel. In: Garrison WL & Marble DF (eds), Quantitative Georgraphy - Part I: Economic and Cultural Topics (pp 54-83). Studies in Geography 13, Department of Geography, Northwestern University, Evanston, Illinois.
22. Oppeheim N (1995) Urban Travel Demand Modeling: From Individual Choices to General Equilibrium. New York: John Wiley & Sons.
23. Pas El (1983) A flexible and integrated methodology for analytical classification of daily travel-activity behavior. Transportation Science 17(4): 405-429.
24. Pas El (1990) Is travel demand analysis and modeling in the doldrums? In: Jones PM (ed), New Developments in Dynamic and Activity-Based Approaches to Travel Analysis (pp 3-27). United Kingdom: Avebury, Aldershot.
25. Sasaki T (1972) Estimation of person trip patterns through Markov chains. In: Newell GF (ed) Traffic Flow and Transportation (pp 119-130). New York: Elsevier.
26. Tye WE, Sherman L, Kinnucan M, Nelson D & Tardiff T (1982) Application of Disaggregate Travel Demand Models. National Cooperative Highway Research Program Report 253, Transportation Research Board, Washington, DC.
27. Recker WW (1995) The household activity pattern problem: General formulation and solution. Transportation Research B 29B(1): 61-77.
28. Recker WW, McNally MG & Root SG (1986) A model of complex trave behavior: Part I -Theoretical development, Part II - An operational model. Transportational Research A, 20A(4): 307-318, 319-330.
29. Spear BD (1977) Applications of New Travel Demand Forecasting Techniques to Transportation Planning - A Study of Individual Choice Models. Federal Highway Administration, US Department of Transportation, Washington, DC.
30. Weiner E (1993) Upgrading travel demand forecasting capabilities. Paper presented at the Fourth National Conference on Transportation Planning Methods Applications, Daytona Beach, Florida.