Demand Forecasting Errors

Demand forecasts form a key input to the economic appraisal. As such any errors present within the demand forecasts will undermine the reliability of the economic appraisal. The minimization of demand forecasting errors is therefore important in th...

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Main Authors: Mackie, Peter, Nellthorp, John, Laird, James
Format: Brief
Language:English
Published: World Bank, Washington, DC 2012
Subjects:
Online Access:http://documents.worldbank.org/curated/en/2005/01/6376813/demand-forecasting-errors
http://hdl.handle.net/10986/11797
id okr-10986-11797
recordtype oai_dc
spelling okr-10986-117972021-04-23T14:02:57Z Demand Forecasting Errors Mackie, Peter Nellthorp, John Laird, James AGGREGATION AREA BASE YEAR BUS BUS STOPS BUSES CAR OWNERSHIP CARS CONGESTION CONSTRUCTION COST BENEFIT ANALYSIS DEPENDENCY DESTINATION DRIVERS ECONOMIC APPRAISAL ELASTICITY ELASTICITY OF DEMAND EXTRAPOLATION FARE LEVELS FARES FORECASTING MODELS FORECASTS FRAMEWORK FREIGHT FREIGHT TRAFFIC FUEL FUEL PRICE GDP GENERATED TRAFFIC GEOGRAPHIC INFORMATION GEOGRAPHIC INFORMATION SYSTEMS GROWTH POTENTIAL GROWTH RATE HIGHWAYS INCOME INTERACTION BETWEEN ROADS INTERFACE INTERNATIONAL TRADE INTERPOLATION JOURNEY LAND USE LIGHT RAIL ORIGIN PASSENGER PASSENGER VOLUMES PASSENGERS PEAK PERIODS PORTS PRIVATE ROAD TRAFFIC PUBLIC TRANSPORT PUBLIC TRANSPORT FARES PUBLIC TRANSPORT PASSENGER PUBLIC TRANSPORT SERVICE ROAD HAULAGE ROAD NETWORK ROAD TOLLS ROAD TRAFFIC ROADS ROUTE ROUTE CHOICE ROUTES SPEED STATISTICAL ANALYSIS SURVEYING TRAFFIC TRAFFIC FLOW TRAFFIC FLOWS TRAFFIC GROWTH TRAFFIC PATTERNS TRAINS TRANSPORT TRANSPORT ECONOMICS TRANSPORT INVESTMENT TRANSPORT OPERATORS TRANSPORT POLICY TRANSPORT PROJECTS TRANSPORT SECTOR TRANSPORT SERVICES TRANSPORT SYSTEM TRAVEL TIME TRAVEL TIMES TRAVELLERS TRUCKS VALUE OF TIME VEHICLE FLEETS VEHICLE OWNERSHIP VEHICLES WALKING WALKING TIME Demand forecasts form a key input to the economic appraisal. As such any errors present within the demand forecasts will undermine the reliability of the economic appraisal. The minimization of demand forecasting errors is therefore important in the delivery of a robust appraisal. This issue is addressed in this note by introducing the key issues, and error types present within demand forecasts (Section 1). Following that introductory section the error types are described in more detail: measurement error (Section 2), model specification error (Section 3) and External or Exogenous Errors (Section 4). The final section presents a discussion on how to manage demand forecasting errors (Section 5). 2012-08-13T16:03:13Z 2012-08-13T16:03:13Z 2005-01 http://documents.worldbank.org/curated/en/2005/01/6376813/demand-forecasting-errors http://hdl.handle.net/10986/11797 English Transport Notes Series; No. TRN 12 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Brief Publications & Research
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic AGGREGATION
AREA
BASE YEAR
BUS
BUS STOPS
BUSES
CAR OWNERSHIP
CARS
CONGESTION
CONSTRUCTION
COST BENEFIT ANALYSIS
DEPENDENCY
DESTINATION
DRIVERS
ECONOMIC APPRAISAL
ELASTICITY
ELASTICITY OF DEMAND
EXTRAPOLATION
FARE LEVELS
FARES
FORECASTING MODELS
FORECASTS
FRAMEWORK
FREIGHT
FREIGHT TRAFFIC
FUEL
FUEL PRICE
GDP
GENERATED TRAFFIC
GEOGRAPHIC INFORMATION
GEOGRAPHIC INFORMATION SYSTEMS
GROWTH POTENTIAL
GROWTH RATE
HIGHWAYS
INCOME
INTERACTION BETWEEN ROADS
INTERFACE
INTERNATIONAL TRADE
INTERPOLATION
JOURNEY
LAND USE
LIGHT RAIL
ORIGIN
PASSENGER
PASSENGER VOLUMES
PASSENGERS
PEAK PERIODS
PORTS
PRIVATE ROAD TRAFFIC
PUBLIC TRANSPORT
PUBLIC TRANSPORT FARES
PUBLIC TRANSPORT PASSENGER
PUBLIC TRANSPORT SERVICE
ROAD HAULAGE
ROAD NETWORK
ROAD TOLLS
ROAD TRAFFIC
ROADS
ROUTE
ROUTE CHOICE
ROUTES
SPEED
STATISTICAL ANALYSIS
SURVEYING
TRAFFIC
TRAFFIC FLOW
TRAFFIC FLOWS
TRAFFIC GROWTH
TRAFFIC PATTERNS
TRAINS
TRANSPORT
TRANSPORT ECONOMICS
TRANSPORT INVESTMENT
TRANSPORT OPERATORS
TRANSPORT POLICY
TRANSPORT PROJECTS
TRANSPORT SECTOR
TRANSPORT SERVICES
TRANSPORT SYSTEM
TRAVEL TIME
TRAVEL TIMES
TRAVELLERS
TRUCKS
VALUE OF TIME
VEHICLE FLEETS
VEHICLE OWNERSHIP
VEHICLES
WALKING
WALKING TIME
spellingShingle AGGREGATION
AREA
BASE YEAR
BUS
BUS STOPS
BUSES
CAR OWNERSHIP
CARS
CONGESTION
CONSTRUCTION
COST BENEFIT ANALYSIS
DEPENDENCY
DESTINATION
DRIVERS
ECONOMIC APPRAISAL
ELASTICITY
ELASTICITY OF DEMAND
EXTRAPOLATION
FARE LEVELS
FARES
FORECASTING MODELS
FORECASTS
FRAMEWORK
FREIGHT
FREIGHT TRAFFIC
FUEL
FUEL PRICE
GDP
GENERATED TRAFFIC
GEOGRAPHIC INFORMATION
GEOGRAPHIC INFORMATION SYSTEMS
GROWTH POTENTIAL
GROWTH RATE
HIGHWAYS
INCOME
INTERACTION BETWEEN ROADS
INTERFACE
INTERNATIONAL TRADE
INTERPOLATION
JOURNEY
LAND USE
LIGHT RAIL
ORIGIN
PASSENGER
PASSENGER VOLUMES
PASSENGERS
PEAK PERIODS
PORTS
PRIVATE ROAD TRAFFIC
PUBLIC TRANSPORT
PUBLIC TRANSPORT FARES
PUBLIC TRANSPORT PASSENGER
PUBLIC TRANSPORT SERVICE
ROAD HAULAGE
ROAD NETWORK
ROAD TOLLS
ROAD TRAFFIC
ROADS
ROUTE
ROUTE CHOICE
ROUTES
SPEED
STATISTICAL ANALYSIS
SURVEYING
TRAFFIC
TRAFFIC FLOW
TRAFFIC FLOWS
TRAFFIC GROWTH
TRAFFIC PATTERNS
TRAINS
TRANSPORT
TRANSPORT ECONOMICS
TRANSPORT INVESTMENT
TRANSPORT OPERATORS
TRANSPORT POLICY
TRANSPORT PROJECTS
TRANSPORT SECTOR
TRANSPORT SERVICES
TRANSPORT SYSTEM
TRAVEL TIME
TRAVEL TIMES
TRAVELLERS
TRUCKS
VALUE OF TIME
VEHICLE FLEETS
VEHICLE OWNERSHIP
VEHICLES
WALKING
WALKING TIME
Mackie, Peter
Nellthorp, John
Laird, James
Demand Forecasting Errors
relation Transport Notes Series; No. TRN 12
description Demand forecasts form a key input to the economic appraisal. As such any errors present within the demand forecasts will undermine the reliability of the economic appraisal. The minimization of demand forecasting errors is therefore important in the delivery of a robust appraisal. This issue is addressed in this note by introducing the key issues, and error types present within demand forecasts (Section 1). Following that introductory section the error types are described in more detail: measurement error (Section 2), model specification error (Section 3) and External or Exogenous Errors (Section 4). The final section presents a discussion on how to manage demand forecasting errors (Section 5).
format Publications & Research :: Brief
author Mackie, Peter
Nellthorp, John
Laird, James
author_facet Mackie, Peter
Nellthorp, John
Laird, James
author_sort Mackie, Peter
title Demand Forecasting Errors
title_short Demand Forecasting Errors
title_full Demand Forecasting Errors
title_fullStr Demand Forecasting Errors
title_full_unstemmed Demand Forecasting Errors
title_sort demand forecasting errors
publisher World Bank, Washington, DC
publishDate 2012
url http://documents.worldbank.org/curated/en/2005/01/6376813/demand-forecasting-errors
http://hdl.handle.net/10986/11797
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