Abdel-Aty, M.A. (2003), Hybrid distribution and response techniques for an origin-destination travel survey. ITE Journal 73 (2), pp.22-27.

Abelson P., Hensher D. (2001). Induced Travel and User Benefits: Clarifying Definitions and Measurement for Urban Road Infrastructure, in Handbook of Transport Systems and Traffic Control (Elsevier Science Ltd).

Arentze T., Timmermans H., Hofman F., and Kalfs N. Data Needs, Data Collection, and Data Quality Requirements of Activity-Based Transport Demand Models. Workshop on Modelers’ Needs.

workshop_j.pdf (152.96 KB)

ARTC (2001), Interstate Rail Network Audit – Final Report. Report prepared by Booz Allen Hamilton, Melbourne, , Australian Rail Track Corporation, Adelaide.

Bennathan, E. and Walters, A.A. (1969), The Economics of Ocean Freight Rates. (Preager: New York).

Brits, A. (2013), Embedding Urban Growth Modelling in Planning Practice. Paper presented at the State of Australian Cities Conference, Sydney, 26-29 November.

Cascetta, E. (1984), Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator, Transportation Research Part B: Methodological 18 (4), pp.289-299

Castiglione J., Bradley M., and Gliebe J. (2015) "Activity-Based Travel Demand Models: A Primer", Transport research Board, Washington, DC, SHRP 2 Report S2-C46-RR-1

Chatfield, C. (1984), The Analysis of Time Series Data: An Introduction (3rd ed), Chapman and Hall, London.

Chiu Y. et al (2001), Dynamic Traffic Assignment A Primer, Transport research Circular Number E-C153 June 2011, Transport Research Board, Washington.

Clark, I. (2015, July). New Zealand's guidelines for transport model calibration and validation. In Australian Institute of Traffic Planning and Management (AITPM) National Conference, 2015, Brisbane, Queensland, Australia

Cochran, W.G. (1977), Sampling Techniques (3rd ed), John Wiley and Sons, New York.

Cotterill, P.J., Moore, S.E. and Tudge, R. (1984), ‘Intersection simulation model: INSECT’, Australian Road Research Board (ARRB) Conference, 12th, 1984, Hobart, Tasmania, Australia, Australian Road Research Board (ARRB), Vermont South, Vic., vol.12, no.4, pp.171-82.

Daly, A., Fox, J., Patruni, B., & Milthorpe, F. (2011). Pivoting in travel demand models. In European Transport Conference, Glasgow.

D’Este, G.M. (2000), Urban freight movement modelling. In Hensher, D.A. and Button, K. (eds) Handbook of Transport Modelling, Pergamon-Elselvier, Oxford, pp.539-52

Department for Transport, London (2014). WebTAG: TAG UNIT M1, Principle of Modelling and Forecasting. UK.

Department for Transport, London (2014). WebTAG: TAG UNIT M2, Variable Demand Modelling. UK.

Department for Transport, London (2014). WebTAG: Supplementary Guidance: Land Use/Transport Interaction Models. UK.

Department of Transport, Victoria (2011). Induced Travel Demand, Draft Position Paper. Australia

Douglas, N.J., Franzmann, L.J. and Frost, T.W. (2003), The estimation of demand parameters for primary public transport service in Brisbane. Papers of the 26th Australasian Transport Research Forum 26, paper no 42, Wellington, October. CD-ROM (NZ Institute of Highway Technology, New Plymouth, New Zealand.

Fahrmeir, L. and Tutz, G. (1994), Multivariate Statistical Modelling based on Generalized Linear Models, Springer-Verlag, New York.

Fox J, Dunkerley F, Patruni B, Daly A, ‘Time period choice modelling – review of practice’, RAND, November 2014

Gipps, P.G. (1981), ‘A behavioural car-following model for computer simulation’, Transportation Research, vol.15B, no.2, pp.105-11.

Gipps, P.G. (1986), ‘A model for the structure of lane-changing decisions’, Transportation Research, vol.20B, no.5, pp.403-14.

Goulias, K. 2003, Transportation Systems Planning: Methods and applications, CRC Press, USA

Graham D. J. (2005), Wider Economic Benefits of Transport Improvements

Graham D. J. (2006),Investigating the link between productivity and agglomeration for UK industries

Graham D. J. (2006), Wider Economic Benefits of Transport Improvements stage 2

Graham D. J. (2005), Gibbons, Martin R (2009), Transport Investment and the Distance Decay of Agglomeration Benefits, Centre for Transport Studies, Imperial College

Hansen, W G. 1959, How accessibility shapes land use. Journal of the American Institute of Planners, vol 25, pp 73-76.

Hensher, D.A., Brotchie, J.F. and Gunn, H. (1989), A methodology for investigating the passenger demand for high-speed rail. Papers of the 14th Australasian Transport Research Forum 14 (1), pp.459-76.

Hensher, D. and Button, K. 2004, Handbook of Transport Geography and Spatial Systems. Design Manual for Roads and Bridges, Volume 12 1996, Traffic Appraisal of Roads Schemes.

Hensher, D.A. and Button, K. (eds) (2000), Handbook of Transport Modelling, Pergamon-Elselvier, New York.

Hensher, D.A. and Golob, T. (1998), Searching for policy priorities in the formulation of a freight transport strategy: an analysis of freight industry attitudes towards policy initiatives. Papers of the 22nd Australasian Transport Research Forum 22(1), pp.1-17.

Hess, S., A. Daly, G. Hyman and C. Rohr. 2007. On the development of time period and mode choice models for use in large scale modelling forecasting systems. Transportation Research Part A: Policy and Practice 41(9): 802–826.

Hidas, P 2004, ‘Evaluation of lane changing and merging in microsimulation models’, Australasian Transport Research Forum (ATRF), 27th, 2004, Adelaide, South Australia, Australia, University of South Australia, Transport Systems Centre, Adelaide, SA.

Hidas, P 2005, ‘Modelling vehicle interactions in microscopic simulation of merging and weaving’, Transportation Research, vol.13C, no.1, pp.37-62.

Ian Wallis Associates (2009). Induced Travel Demand Issues Paper, Prepared for Department of Transport, Victoria. Australia.

Ismart, D. (1990). Calibration and adjustment of system planning models (No. FHWA-ED-90-015).

Jain, S., Thompson, R., Ronald, N., & Winter, S. (2015, February). Towards agent based activity-travel pattern modelling to predict travel demand for demand responsive transport in Melbourne. In Conference of Australian Institutes of Transport Research (CAITR), 33rd, 2015, Melbourne, Victoria, Australia.

Jones, 1977: Urban Transport Appraisal, Macmillan London

Kelly, J.H. and Fullerton, I.J. (1991), Manual of traffic signal design, 2nd end, Prentice Hall, NJ, USA

Litman T, Generated Traffic and Induced Travel – Implication for Transport Planning, (Victoria Transport Policy Institute, 2008)

Louviere, J.J., Hensher, D.A. and Swait, J.D. (2000), Stated Choice Methods: Analysis and Application, Cambridge University Press, Cambridge.

Lowry I S (1964): A Model of Metropolis. The Rand Corporation, Santa Monica.

Luce, R.D. (1959), Individual Choice Behaviour, John Wiley and Sons, New York.

Luk, JYK, Akcelik, R, Bowyer, DP & Brindle, RE 1983, ‘Appraisal of eight small area traffic management models’, Australian Road Research, vol.13, no.1, pp.25-33.

Luk, JYK & Stewart, RW 1984, ‘Some experience with three urban network models: SATURN, TRANSYT/8 and NETSIM’, Australian Road Research, vol.14, no.2, pp.82-7.

Luk, J.Y.K. and Hepburn, S. (1993), New review of Australian travel demand elasticities. Research Report ARR249. Australian Road Research Board, Melbourne.

Maitland, E. and Higgins, R. (1999), Recent Australian Bureau of Statistics initiatives in the development of reliable measures of the freight task in Australia. Papers of the 23rd Australasian Transport Research Forum 23 (1), pp.319-32.

McNally, M. G. and W. W. Recker (1986) "On the Formation of Household Travel/Activity Patterns", Institute of Transportation Studies, University of California, Irvine, CA. USDOT Final Report.

Millar, G, Tudge, R & Wilson, C 2003, ‘An introduction of microsimulation software in Australia’, ARRB Transport Research Conference, 21st, 2003, Cairns, Queensland, Australia Road Engineering Association of Asia and Australasia (REAAA) Conference, 11th, 2003, Cairns, Queensland, Australia, 15pp.

Millar, G, Tudge, R & Wilson, C 2004, ‘Microsimulation evaluation of SCATS coordinated traffic control signals’, TRB Annual Meeting, 83rd , 2004, Washington, DC, USA, Transportation Research Board (TRB), Washington, DC.

Ortúzar, J. and Willumsen, L. 1994, Modelling Transport 2nd Edition, John Wiley and Sons, New York.

Ortúzar, J. and Willumsen, L. 2011, Modelling Transport 4th Edition, John Wiley and Sons, Chichester, West Sussex.

Oum, T., Waters, W.G. and Yong, J. (1992), Concept of price elasticities of transport demand and recent empirical results. Journal of Transport Economics and Policy 26 (2), pp. 139-54

Panwai, S & Dia, H 2004, ‘A reactive agent-based approach to modelling car following behaviour’, Conference of Australian Institutes of Transport Research (CAITR), 26th, Melbourne, Victoria, Australia, CSIRO Manufacturing & Infrastructure Technology, Melbourne, Vic.

Planning and Transport Research Centre (PATREC) (2014). Independent Transport Modelling Review Final Report.

Raimond, T., Peachman, J. and Akers, G. (1999), Estimating small area commercial transport movements. Papers of the Australasian Transport Research Forum 23 (1), pp.493-506.

Richardson, A.J., Ampt, E.S. and Meyburg, A.N. (1995), Survey Methods for Transport Planning, Eucalyptus Press, Melbourne.

Roads and Maritime Services (2013), Traffic Modelling Guidelines, Roads and Maritime Services, NSW.

Shannon, C.E. (1948), A mathematical theory of communication, Bell Systems Technical Journal 27, pp. 379-423 and 623-56

Spiess, H. (1987). A maximum likelihood model for estimating origin-destination matrices. Transportation Research Part B: Methodological, 21(5), 395-412.

Stimson, R, Bell, M, Corcoran, J, and Pullar, D, (2012), Using a large scale urban model to test planning scenarios in the Brisbane-South east Queensland region, Regional Science Policy and Practice, 4, 372-392.

Taplin, J.H.E., Hensher, D.A. and Smith, B. (1999), Preserving the symmetry of estimated commuter travel elasticities. Transport Research B 33B (3), pp.215-332.

Taylor, M.A.P., Bonsall, P.W. and Young, W. (2000), Understanding Traffic Systems: Data, Presentation and Analysis (2nd ed), Ashgate Publishing Co, Aldershot.

Ting, T.K., Sarvi, M. and Luk, J.Y.K., (2004), ‘Comparisons between macrosimulation (TRANSYT) and microsimulation (PARAMICS)’, Conference of the Australian Institute of Transport Research (CAITR), 24th, Melbourne, Victoria, CSIRO Manufacturing and Infrastructure Technology, Melbourne, Vic. 20pp.

Train, K., Revelt, D. and Ruud, P. (2004), Mixed logit estimation routine for panel data[last accessed 08/07/04].

Tudge, R 1988, ‘INSECT: the calibration and validation of an intersection simulation model’, International Workshop on Intersections Without Traffic Signals, 1988, Bochum, West Germany, pp.214-35.

USDOT (1997) "Activity-based Travel Forecasting Conference Proceedings", US Department of Transportation, Washington, DC, Report DOT-T-97-17.

Van Hecke, S., Hedden, C., Krechmer, D., Clark, N., Szymkowski and Corbin, J., (2008), ‘Wisconsin Traffic Operations: an innovative approach to statewide sketch planning’, Transportation Research Record, no.2065, pp.9-17.

Van Zuylen, J.H. and Willumsen, L.G. (1980), The most likely trip matrix estimated from traffic counts, Transportation Research B 14B (4), pp.281-93.

Victorian Auditor-General’s Office (2011), Management of Major Road Projects. Victorian Government Printer, June 2011.

VicRoads (2010), Guidelines on Validation Process and Criteria for Strategic Transport Modelling, Victoria

Wegener M (2013), Land-Use Transport Interaction Models, pp 741-758 Handbook of Regional Science.

Whitehead, T B, Simmonds D C and Preston J. 2006, The effect of urban quality improvements on economic activity. Journal of Environmental Management, vol 80 (1), pp 1-12

Wigan, M.R., Rockliffe, N., Thoresenm T and Tsolakis, D. (1998), Valuing longhaul and metropolitan freight travel time and reliability. Papers of the 22nd Australasian Transport Research Forum 22 (1), pp.29-37.

Willumsen, L. G. (1978) - Estimation of an OD matrix from traffic counts: a review. Working paper/Institute for Transport Studies. University of Leeds (99).

Wilson, T (2011), A Review of Sub-Regional Population Projection Methods