Testing microsimulation uncertainty of the parcel-based space development module of the Baltimore PECAS Demo Model
Wanle Wang
Wuhan University of Technology
Ming Zhong
Wuhan University of Technology
Yiming Zhang
Wuhan University of Technology
Yaqiu Li
Wuhan University of Technology
Jing Ge
Wuhan University of Technology
John Douglas Hunt
University of Calgary
John Edward Abraham
University of Calgary
DOI: https://doi.org/10.5198/jtlu.2020.1454
Keywords: forecasting uncertainty, land use and transportation model, space development module, micro-simulation, PECAS, high-fidelity
Abstract
A precise and stable microsimulation space development module is fundamental for supporting various policy decision-making exercises related to land development. This paper studies the dynamics or uncertainty of outputs of the parcel-based space development module of an integrated land-use and transport forecasting model—the Baltimore PECAS Demo Model. It is tested with two sub-studies: (1) running the model three times over the entire planning window from 2000 to 2030; and (2) running the model 30 times just one year ahead from 2000 to 2001. The outputs obtained are used to analyze such dynamics or uncertainty. Study results from the first sub-study show that, in general, the system is stable and consistent over runs and time, as supported by a set of paired t-tests. However, the coefficient of variation (COV) measuring the variation of estimated space quantity by category over four cross-section years indicates that the differences among runs are increasing over time through the planning window. The COV test over the second sub-study indicates the estimated space quantity is stable for most of the zones, except for a small portion of zones with a small space quantity.
References
Abraham, J. E., Gordon, R., & Hunt, J. D. (2005, January). The Sacramento PECAS model. Paper presented at the Transportation Research Board 84th Annual Meeting, Washington, DC.
Chapin, F., & Weiss, S. (1968). A probabilistic model for residential growth. Transportation Research, 2(4), 375–390.
Clarke, M., & Holm, E. (1987). Microsimulation methods in spatial analysis and planning. Geografiska Annaler, Series B, Human Geography, 69(2), 145–164. doi.10.2307/490448
Clarke, G. (1996). Microsimulation: An introduction. In G. Clarke (Ed.), Microsimulation for urban and regional policy analysis (pp.1–9). London: Pion.
Clay, M., & Johnston, R. (2005). Univariate uncertainty analysis of an integrated land-use and transportation model: MEPLAN. Transportation Planning and Technology, 28(3), 149–165.
Clay, M., & Johnston, R. (2006). Multivariate uncertainty analysis of an integrated land-use and transportation model: MEPLAN. Transportation Research Part D: Transport and Environment, 11(3), 191–203.
Duthie, J., Voruganti, A., Kockelman, K., & Waller, S. (2010). Uncertainty analysis and its impacts on decision-making in an integrated transportation and gravity-based land-use model. Journal of Urban Planning and Development, 136(4), 294–302.
Everitt, B., & Skrondal, A. (1998). The Cambridge dictionary of statistics. Cambridge, UK: Cambridge University Press.
Hagerstrand, T. (1968). Innovation diffusion as a spatial process. Chicago: University of Chicago Press.
Hunt, J., & Abraham, J. (2003, July). Design and application of the PECAS land-use modelling system. Paper presented at the 8th International Conference on Computers in Urban Planning and Urban Management (CUPUM), Sendai, Japan.
Hunt, J., Abraham, J., Dimantha, D., Zhong, M., Jamie B., & Mysko, J. (2008, January). Developing and applying a parcel-Level simulation of developer actions in Baltimore. Paper presented at the Transportation Research Board 87th Annual Meeting, Washington, DC.
Kain, J., & Apgar, W. (1985). Housing and neighborhood dynamics: A simulation study. Cambridge, MA: Harvard University Press.
Kreibich, V. (1979). Modelling car availability, modal split and trip distribution by Monte–Carlo simulation: A short way to integrated models. Transportation 8(2),153–166.
Krishnamurthy, S., & Kockelman, K. (2003). Propagation of uncertainty in transportation land-use models: Investigation of DRAM–EMPAL and UTPP predictions in Austin, Texas. Transportation Research Record, 1831, 219–229.
Miller, E., & Salvini, P. (2001). The Integrated Land Use, Transportation, Environment (ILUTE) microsimulation modelling system: Description and current status. In D. Hensher (Ed.), The leading edge in travel behavior research (pp.711–724). London, Elsevier.
Miller, E. (2018). The case for microsimulation frameworks for integrated urban models. Journal of Transport and Land Use, 11(1),1025–1037.
Miyamoto, K., Vichiensan, V., Sugiki, N., & Kitazume, K. (2007, June). Applications of RURBAN integrated with a transport model in detailed zone system. Paper presented at the World Conference on Transport Research, Berkeley, CA.
Moeckel, R., Spiekermann, K., Schurmann, C., & Wegener, M. (2003). Microsimulation of land use. International Journal of Urban Sciences 7(1), 14–31.
Nakamura, H., Hayashi, Y., & Miyamoto, K. (1983). A land use–transport model for metropolitan areas. Papers of the Regional Science Association, 51,43–63. doi.org/10.1007/BF01940336.
Orcutt, G., Greenberger, M., Korbel, J., & Rivlin, A. (1961). Microanalysis of socioeconomic systems: A simulation study. New York: Harper and Row.
Petrik, O., Moura, F., & Silva, J. (2014). The influence of the volume–delay function on uncertainty assessment for a four-step model. In J. F.de Sousa & R. Rossi (Eds.), Computer-based modelling and optimization in transportation (pp. 293–306). New York: Springer.
Pradhan, A., & Kockelman, K. (2002). Uncertainty propagation in an integrated land use–transportation modeling framework: Output variation via UrbanSim. Transportation Research Record, 1805, 128–135.
Rasouli, S., & Timmermans, H. (2012). Uncertainty in travel demand forecasting models: Literature review and research agenda. Transportation Letters, 4,55–73.
Rasouli, S., & Timmermans, H. (2013). Probabilistic forecasting of time-dependent origin–destination matrices by a complex activity-based model system: Effects of model uncertainty. International Journal of Urban Sciences, 17(3), 350–361.
Rodier, C., & Johnston, R. (2002). Uncertain socioeconomic projections used in travel demand and emissions models: Could plausible errors result in air quality nonconformity? Transportation Research Part A: Policy and Practice, 36(7), 613–631.
Student. (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Talebian, A., & Shafahi, Y. (2015). The treatment of uncertainty in the dynamic origin–destination estimation problem using a fuzzy approach. Transportation Planning and Technology, 38(7), 795–815.
Waddell, P. (1998, July). An urban simulation model for integrated policy analysis and planning: Residential location and housing market components of UrbanSim. Paper presented at the 8th World Conference on Transport Research, Antwerp, Belgium.
Waddell, P. (2002). UrbanSim: Modeling urban development for land use, transportation, and environmental planning. Journal of the American Planning Association, 68(3), 297–314.
Waddell, P. (2009, December). Parcel-level microsimulation of land use and transportation: The walking scale of urban sustainability. Paper presented at 2009 IATBR Workshop on Computational Algorithms and Procedures for Integrated Microsimulation Models, Jaipur, Rajasthan, India.
Wang, G., & Kockelman, K. (2018). Three methods for anticipating and understanding uncertainty of outputs from transportation and land use models. Transportation Research Record, 2672(49), 12–22.
Wegener, M. (2004). Overview of land use transport models. In D.A. Hensher & K. Button (Eds.), Transport geography and spatial systems (pp. 127–146). Kidlington: Pergamon/Elsevier Science.
Wegener, M. (2009, October). From macro to micro: How much micro is too much? Paper presented at the International Seminar: Transport Knowledge and Planning Practice, Amsterdam.
Zhao, Y., & Kockelman, K. (2002). The propagation of uncertainty through travel demand models: An exploratory analysis. Annals of Regional Science, 36(1), 145–163.
Zhong, M., Hunt, J., & Abraham, J. (2007). Design and development of a statewide land-use transport model for Alberta. Journal of Transportation systems engineering and information technology 7(1), 79–89.