DEVELOPMENT OF A FLEXIBLE ZONING SYSTEM TRBAppCon 2017 DEVELOPMENT OF A FLEXIBLE ZONING SYSTEM APPLIED TO NATIONAL OR STATE-WIDE MODELS May 2017 – Raleigh

SVITM (State of Victoria) City or State Model MITM (Melbourne) Land Area 3,860 m2 Population 3.7 m Transport Zones 2893 Run Time (full) 24 hours SVITM (State of Victoria) 91,750 m2 5.7 m 5595 7 days Run Time (aggregated) 24 hours ~8 hrs – 7 days

TRANSPORT FOR VICTORIA Contributors: Dr Henry Le AECOM   Craig Somerville Neville Wood TRANSPORT FOR VICTORIA  Oliver Charlesworth Filippo Contiero CITILABS

One Model…for everything…

SVITM: Zone Aggregation Tool (Cube Voyager)

SVITM: Structure Multi trip purposes (11) Matrices, Sectors and Network Aggregation Commercial Vehicle Module Trip generation Urban & Intercity Trips Mode Choice/ Distribution Assignment Convergence Report Initialisation Inputs of network and demographic data at fine detail (all zones) Model runs at aggregated level from here Subarea Analysis Subarea analysis at subarea zones Loop iteration Multi trip purposes (11) Multi modal: car, train, tram, bus Multi period: AM, IP, PM, OP Zoning: max. 7000 zones Multi-regional: Urban, Intercity

SVITM: Zone Aggregation (example) All zones within 30 minutes of the study area should have no aggregation All zones within 30 - 45 minutes of the study area could have fine aggregation All zones within >60 minutes of the study area could have fine or broad aggregation depending on local characteristics

SVITM: Zone Aggregation (example) Study Area 700 Fine Aggregation 500 Broad Aggregation 170 Total no. zones 1370 Run time 8 hrs

SVITM: Trip Distribution (MITM study area)

Citilabs Application: London Transportation Studies Model (LTS)

LTS Application: Aggregation Greater London Great Britain

LTS Application: Aggregation Normal Partial

LTS Application: Results Cluster Nodes 4 Variation Processors Intel® Xeon® CPU E3-1270 @ 3.50 GHz Test case / Number of zones 4106 zones 3237 zones -21% Runtime [hours] 02:35 02:00 -23% Iterations 59 - Number of selected counts 409 Correlation coefficient 0.9462 0.9430 -0.34% Determination coefficient (R2) 0.8953 0.8892 -0.68% RMSE (Root Mean Squared Error) 207.73 190.98 -8.06% CV (RMSE) (Coeff. of Var. of the RMSE) 0.3871 0.4377 13.07% NRMSD (Norm. Root Mean Squared Error) 0.0605 0.0556

Summary The inclusion of long distance trips and an aggregated zone system enables the model to be applied practically and consistently to any regional city in Victoria. The aggregation technique successfully reduces runtime without significant impact to model results The network and model relationship can be continuously improved as the methodology is progressively applied to other areas. Any number of aggregation levels can be added Network simplification can add another level of efficiency (takes some thought)

Bibliography Dr Henry Le, Craig Somerville, Neville Wood, AITPM 2013 National Conference, Development of a Statewide Victorian Integrated Transport Model Dr Henry Le, Craig Somerville, Neville Wood, AITPM Excellence Awards 2014. Category of Transport and Land Use Modelling, Development of a Statewide Victorian Integrated Transport Model VISTA, 2007. Department of Transport, Planning and Local Infrastructure Victoria

Dr. Oliver Charlesworth Global Account Director, Citilabs ocharlesworth@citilabs.com https://www.linkedin.com/in/ocharlesworth/