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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/3563
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| Title: | UPTRANS: an incremental transport model with feedback for quick-response strategy evaluation |
| Authors: | Venter, C Mokonyama, M |
| Keywords: | Transpot model UPTrans model Incremental logit Gauteng global city region Transport modelling approach Transpot networks Southern African Transport Conference Prototype transport model SATC Sustainable transport Land use-transport scenarios Transport investment |
| Issue Date: | Jul-2009 |
| Publisher: | Southern African Transport Conference |
| Citation: | Venter, C and Mokonyama, M. 2009. UPTRANS: an incremental transport model with feedback for quick-response strategy evaluation. Sustainable transport: The 28th Annual Southern African Transport Conference (SATC) 2009, Pretoria, South Africa, July 6-9, 2009. pp 1-13 |
| Abstract: | The paper describes the development of a prototype transport model to be used for high-level evaluation of a potentially large number of alternative land use-transport scenarios. It uses advanced logit modelling to capture travel behaviour change in a more theoretically tractable manner than the conventional four-step method. The model is designed specifically for fast implementation, with limited calibration needs, to assess a wide range of strategies including transport investment, land use strategies, and management interventions such as high occupancy vehicle lanes or road pricing. A prototype application of the UPTrans model as part of a demonstrative urban and regional growth modelling exercise for the Gauteng Global City Region is described. |
| Description: | Sustainable transport: The 28th Annual Southern African Transport Conference (SATC) 2009, Pretoria, South Africa, July 6-9, 2009 |
| URI: | http://hdl.handle.net/10204/3563 |
| ISBN: | 9781920017392 |
| Appears in Collections: | Infrastructure systems and operations Climate change Environmental and resource economics Planning support systems Rural infrastructure and services General science, engineering & technology
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