Demand Forecasting for New Local Rail Stations and Services

John M. Preston

30 citations0/0 files storedJournal of Transport Economics and Policy

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Aviation Industry Analysis and Trends Transport and Economic Policies

Abstract

It is concluded that aggregate approaches to forecasting demand may be appropriate for cheap investments, such as new stations, or an initial assessment of a wide range of options. For detailed consideration of expensive investments, such as new rail services, disaggregate methods based on RP and or SP data should be considered.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 30 citations exist upstream.

Cited by

2002Estimating the Benefits of Traffic Calming on Through Routes: A Choice Experiment Approach 2012A GIS-based appraisal framework for new local railway stations and services 2009Modelling local rail demand in South Wales 2013Using geographically weighted regression to forecast rail demand in the Sydney Region 2017Residents’ expectations for new rail stops: optimistic neighborhood perceptions relate to subsequent transit ridership 2016Decision Tree Based Station-Level Rail Transit Ridership Forecasting 2010A GEOGRAPHICALLY WEIGHTED REGRESSION BASED ANALYSIS OF RAIL COMMUTING AROUND CARDIFF, SOUTH WALES 2022A comparative economic assessment of urban transport infrastructure options in low- and middle-income countries

Imported from OpenAlex (CC0) — nothing here is generated.