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Lookup NU author(s): Dr David Alvarez Castro, Dr Alistair FordORCiD, Professor Philip James, Professor Roberto Palacin
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024Climate change is considered the most pressing environmental challenge of our time, being transport one of the major contributors. Consequently, transport models are required to test different urban mobility policies that can shift travel to more sustainable transport modes (e.g., active modes). This paper focuses on the development of a validated agent-based model (MATSim) applying a novel open-source methodology to generate the main input datasets, easily transferrable to any region in England. Required input datasets (synthetic population and network) are described with a high level of detail, identifying the datasets and tools used to develop them, with special interest in the simulation of cycling routes. A new attribute (quietness) ranking roads for cycling depending on their built-environment characteristics was incorporated into the MATSim bicycle extension. The results obtained in this paper show the baseline transport model of the Tyne and Wear region (England), where discrepancies up to 3.5% in transport mode shares and minimal differences in vehicle counts in urban areas were obtained, and a realistic representation of the routes chosen by the agents using bicycles is obtained. This provides the basis for the development of similar MATSim implementation in other UK regions.
Author(s): Alvarez Castro D, Ford A, James P, Palacin R, Ziemke D
Publication type: Article
Publication status: Published
Journal: Journal of Urban Mobility
Year: 2024
Volume: 5
Print publication date: 07/06/2024
Online publication date: 07/06/2024
Acceptance date: 03/05/2024
Date deposited: 17/06/2024
ISSN (electronic): 2667-0917
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.urbmob.2024.100078
DOI: 10.1016/j.urbmob.2024.100078
Data Access Statement: The tools, documentation and data collection support required to generate a detailed synthetic travel demand for any region in England are available at: - SPENSER: https://hub.docker.com/r/nismod/spenser - synthetic_population_dev: https://github.com/DACNC/synthetic_population_dev - activity_plans_dev: https://github.com/DACNC/activity_plans_dev - PAM: https://github.com/arup-group/pam Due to ethical concerns, the required dataset to generate the activity plans (National Travel Survey, 2002-2022: Special Licence Access) cannot be made openly available. Further information about the data and condition of access are available at: http://doi.org/10.5255/UKDA-SN-7553-11 The tools and documentation to generate the transport network are available at: - OSMOX: https://github.com/arup-group/osmox - GeNET: https://doi.org/10.5281/zenodo.8274051 Due to privacy reasons, PUMA tool is not open access. The remainder of the data access statement is available in the published paper
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