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Dataset for Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations?

Dataset for Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations?
Dataset for Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations?
Research Data supporting the PhD Thesis 'Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations?' by Marcus Young. See the readme file for further information.
railway station choice, passenger demand forecasting, discrete choice models
University of Southampton
Young, Marcus
b7679822-1e61-47d0-b7bf-3e33a12fa8fe
Young, Marcus
b7679822-1e61-47d0-b7bf-3e33a12fa8fe

Young, Marcus (2019) Dataset for Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations? University of Southampton doi:10.5258/SOTON/D0825 [Dataset]

Record type: Dataset

Abstract

Research Data supporting the PhD Thesis 'Modelling railway station choice: can probabilistic catchments improve demand forecasts for new stations?' by Marcus Young. See the readme file for further information.

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readme.txt - Text
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supporting_data.zip - Dataset
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More information

Published date: March 2019
Keywords: railway station choice, passenger demand forecasting, discrete choice models

Identifiers

Local EPrints ID: 429597
URI: http://eprints.soton.ac.uk/id/eprint/429597
PURE UUID: 3cf1b48a-5f08-420b-9628-8697e0a40ce4
ORCID for Marcus Young: ORCID iD orcid.org/0000-0003-4627-1116

Catalogue record

Date deposited: 29 Mar 2019 17:31
Last modified: 30 Mar 2019 01:21

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