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Software . 2020
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Software . 2020
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Station Demand Forecasting Tool

Authors: Young, Marcus; Blainey, Simon;

Station Demand Forecasting Tool

Abstract

This is the R package for the Station Demand Forecasting Tool. This tool generates a demand forecast (predicted trips per year) for one or more proposed local railway stations in mainland GB. If required it can also produce an analysis of potential abstraction of journeys from existing stations, enabling the net impact of a new station on rail use to be estimated. Forecasts for multiple stations can be accommodated as part of the same job. These can be treated independently (alternative station locations are to be assessed) or concurrently (the proposed stations will coexist). While this R package controls the tool, it is not standalone. Most of the heavy lifting takes place in a PostgreSQL database that requires setting up with data tables and additional wrapper functions for pgRouting. A Docker implementation is available.

Keywords

demand forecasting, forecasting model, pgrouting, choice model, sketch model, railways, railway stations, transit ridership model

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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