Exploratory modelling for transport infrastructure planning under future uncertainty


Date

2023

Publication Type

Conference Paper

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Planning transport infrastructure is particularly difficult due to infrastructure’s long-lived nature, unpredictable technological progress and changing mobility trends in society. In complex systems facing major uncertainties, exploratory modelling can help define salient system characteristics and discover potential risks and opportunities by evaluating large ensembles of potential conditions during the planning process. This paper demonstrates how exploratory modelling can provide planning support for a federal highway from Dübendorf to Hinwil in Zürich, Switzerland. We model the future traffic flows at peak hours considering uncertainty in urban development, jobs distribution and future modal share. Current road infrastructure and further potential capacity expansions and reallocations are then tested on their robustness to provide adequate performance (in terms of travel delays) in multiple future scenarios. We use quantitative methods to identify the subset of scenarios representing risks and opportunities for the infrastructure system. The visualization of such subset of scenarios in uncertainty maps can help target interventions only when needed.

Publication status

published

Book title

Life-Cycle of Structures and Infrastructure Systems

Journal / series

Volume

Pages / Article No.

2580 - 2587

Publisher

CRC Press

Event

8th International Symposium on Life-Cycle Civil Engineering (IALCCE 2023)

Edition / version

1st Edition

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

03859 - Adey, Bryan T. / Adey, Bryan T. check_circle
08060 - FCL / FCL
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG

Notes

Funding

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