Loading…

Forecasting inaccuracies: A result of unexpected events, optimism bias, technical problems, or strategic misrepresentation?

Based on the results from a questionnaire survey and qualitative interviews among different actors involved in traffic forecasting, this paper discusses what evidence can be found in support of competing explanations of forecasting errors. There are indications that technical problems and manipulati...

Full description

Saved in:
Bibliographic Details
Published in:Journal of transport and land use 2015-01, Vol.8 (3), p.39-55
Main Authors: Næss, Petter, Andersen, Jeppe, Nicolaisen, Morten Skou, Strand, Arvid
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 55
container_issue 3
container_start_page 39
container_title Journal of transport and land use
container_volume 8
creator Næss, Petter
Andersen, Jeppe
Nicolaisen, Morten Skou
Strand, Arvid
description Based on the results from a questionnaire survey and qualitative interviews among different actors involved in traffic forecasting, this paper discusses what evidence can be found in support of competing explanations of forecasting errors. There are indications that technical problems and manipulation, and to a lesser extent optimism bias, may be part of the explanation of observed systematic biases in forecasting. In addition, unexpected events can render the forecasts erroneous, and many respondents and interviewees consider it to be simply not possible to make precise predictions about the future. The results give rise to some critical reflections about the reliability of project evaluations based on traffic forecasts susceptible to several systematic as well as random sources of error.
doi_str_mv 10.5198/jtlu.2015.719
format article
fullrecord <record><control><sourceid>jstor_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_04ad9481ee3b4de7aaf5bbc50d4838b5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26189165</jstor_id><doaj_id>oai_doaj_org_article_04ad9481ee3b4de7aaf5bbc50d4838b5</doaj_id><sourcerecordid>26189165</sourcerecordid><originalsourceid>FETCH-LOGICAL-c348t-182cfebddff1312c0fa82171af7446cf2ce3d05576195661f539d39a63d278713</originalsourceid><addsrcrecordid>eNpNkMtKA0EQRRtRMEaXghvBH5jY1c_qpQSjgYAbXTc1_QgzxIx0Txb-vYmR4KouxeEsDmO3wGcaHD7242Y3Exz0zII7YxNwEhuLyp3_25fsqtaec2Ms4oTdLYaSAtWx264fui2FsCsUulSv2UWmTU03f3fKPhbP7_PXZvX2spw_rZogFY4NoAg5tTHmDBJE4JlQgAXKVikTsghJRq61NeC0MZC1dFE6MjIKixbklC2P3jhQ779K90nl2w_U-d_HUNaeytiFTfJcUXQKISXZqpgsUdZtGzSPCiW2eu9qjq5QhlpLyicfcH9I5A-J_CGR3yfa8_dHvq_jUE6wMIAOjJY_AIJirQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Forecasting inaccuracies: A result of unexpected events, optimism bias, technical problems, or strategic misrepresentation?</title><source>Jstor Journals Open Access</source><creator>Næss, Petter ; Andersen, Jeppe ; Nicolaisen, Morten Skou ; Strand, Arvid</creator><creatorcontrib>Næss, Petter ; Andersen, Jeppe ; Nicolaisen, Morten Skou ; Strand, Arvid</creatorcontrib><description>Based on the results from a questionnaire survey and qualitative interviews among different actors involved in traffic forecasting, this paper discusses what evidence can be found in support of competing explanations of forecasting errors. There are indications that technical problems and manipulation, and to a lesser extent optimism bias, may be part of the explanation of observed systematic biases in forecasting. In addition, unexpected events can render the forecasts erroneous, and many respondents and interviewees consider it to be simply not possible to make precise predictions about the future. The results give rise to some critical reflections about the reliability of project evaluations based on traffic forecasts susceptible to several systematic as well as random sources of error.</description><identifier>ISSN: 1938-7849</identifier><identifier>EISSN: 1938-7849</identifier><identifier>DOI: 10.5198/jtlu.2015.719</identifier><language>eng</language><publisher>University of Minnesota Center for Transportation Studies</publisher><subject>Analytical forecasting ; Bias ; Forecasting ; Forecasting models ; Inaccuracy ; Misrepresentation ; Modeling ; Optimism ; Questionnaires ; Roads ; Statistical forecasts ; Traffic ; Traffic forecasting ; Traffic models</subject><ispartof>Journal of transport and land use, 2015-01, Vol.8 (3), p.39-55</ispartof><rights>Copyright 2015 Petter Næss, Jeppe Andersen, Morten Skou Nicolaisen &amp; Arvid Strand</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26189165$$EPDF$$P50$$Gjstor$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26189165$$EHTML$$P50$$Gjstor$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25354,27924,27925,54524,54530</link.rule.ids></links><search><creatorcontrib>Næss, Petter</creatorcontrib><creatorcontrib>Andersen, Jeppe</creatorcontrib><creatorcontrib>Nicolaisen, Morten Skou</creatorcontrib><creatorcontrib>Strand, Arvid</creatorcontrib><title>Forecasting inaccuracies: A result of unexpected events, optimism bias, technical problems, or strategic misrepresentation?</title><title>Journal of transport and land use</title><description>Based on the results from a questionnaire survey and qualitative interviews among different actors involved in traffic forecasting, this paper discusses what evidence can be found in support of competing explanations of forecasting errors. There are indications that technical problems and manipulation, and to a lesser extent optimism bias, may be part of the explanation of observed systematic biases in forecasting. In addition, unexpected events can render the forecasts erroneous, and many respondents and interviewees consider it to be simply not possible to make precise predictions about the future. The results give rise to some critical reflections about the reliability of project evaluations based on traffic forecasts susceptible to several systematic as well as random sources of error.</description><subject>Analytical forecasting</subject><subject>Bias</subject><subject>Forecasting</subject><subject>Forecasting models</subject><subject>Inaccuracy</subject><subject>Misrepresentation</subject><subject>Modeling</subject><subject>Optimism</subject><subject>Questionnaires</subject><subject>Roads</subject><subject>Statistical forecasts</subject><subject>Traffic</subject><subject>Traffic forecasting</subject><subject>Traffic models</subject><issn>1938-7849</issn><issn>1938-7849</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>JFNAL</sourceid><sourceid>DOA</sourceid><recordid>eNpNkMtKA0EQRRtRMEaXghvBH5jY1c_qpQSjgYAbXTc1_QgzxIx0Txb-vYmR4KouxeEsDmO3wGcaHD7242Y3Exz0zII7YxNwEhuLyp3_25fsqtaec2Ms4oTdLYaSAtWx264fui2FsCsUulSv2UWmTU03f3fKPhbP7_PXZvX2spw_rZogFY4NoAg5tTHmDBJE4JlQgAXKVikTsghJRq61NeC0MZC1dFE6MjIKixbklC2P3jhQ779K90nl2w_U-d_HUNaeytiFTfJcUXQKISXZqpgsUdZtGzSPCiW2eu9qjq5QhlpLyicfcH9I5A-J_CGR3yfa8_dHvq_jUE6wMIAOjJY_AIJirQ</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Næss, Petter</creator><creator>Andersen, Jeppe</creator><creator>Nicolaisen, Morten Skou</creator><creator>Strand, Arvid</creator><general>University of Minnesota Center for Transportation Studies</general><general>University of Minnesota</general><scope>JFNAL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20150101</creationdate><title>Forecasting inaccuracies</title><author>Næss, Petter ; Andersen, Jeppe ; Nicolaisen, Morten Skou ; Strand, Arvid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-182cfebddff1312c0fa82171af7446cf2ce3d05576195661f539d39a63d278713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analytical forecasting</topic><topic>Bias</topic><topic>Forecasting</topic><topic>Forecasting models</topic><topic>Inaccuracy</topic><topic>Misrepresentation</topic><topic>Modeling</topic><topic>Optimism</topic><topic>Questionnaires</topic><topic>Roads</topic><topic>Statistical forecasts</topic><topic>Traffic</topic><topic>Traffic forecasting</topic><topic>Traffic models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Næss, Petter</creatorcontrib><creatorcontrib>Andersen, Jeppe</creatorcontrib><creatorcontrib>Nicolaisen, Morten Skou</creatorcontrib><creatorcontrib>Strand, Arvid</creatorcontrib><collection>Jstor Journals Open Access</collection><collection>CrossRef</collection><collection>Directory of Open Access Journals</collection><jtitle>Journal of transport and land use</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Næss, Petter</au><au>Andersen, Jeppe</au><au>Nicolaisen, Morten Skou</au><au>Strand, Arvid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forecasting inaccuracies: A result of unexpected events, optimism bias, technical problems, or strategic misrepresentation?</atitle><jtitle>Journal of transport and land use</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>8</volume><issue>3</issue><spage>39</spage><epage>55</epage><pages>39-55</pages><issn>1938-7849</issn><eissn>1938-7849</eissn><abstract>Based on the results from a questionnaire survey and qualitative interviews among different actors involved in traffic forecasting, this paper discusses what evidence can be found in support of competing explanations of forecasting errors. There are indications that technical problems and manipulation, and to a lesser extent optimism bias, may be part of the explanation of observed systematic biases in forecasting. In addition, unexpected events can render the forecasts erroneous, and many respondents and interviewees consider it to be simply not possible to make precise predictions about the future. The results give rise to some critical reflections about the reliability of project evaluations based on traffic forecasts susceptible to several systematic as well as random sources of error.</abstract><pub>University of Minnesota Center for Transportation Studies</pub><doi>10.5198/jtlu.2015.719</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1938-7849
ispartof Journal of transport and land use, 2015-01, Vol.8 (3), p.39-55
issn 1938-7849
1938-7849
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_04ad9481ee3b4de7aaf5bbc50d4838b5
source Jstor Journals Open Access
subjects Analytical forecasting
Bias
Forecasting
Forecasting models
Inaccuracy
Misrepresentation
Modeling
Optimism
Questionnaires
Roads
Statistical forecasts
Traffic
Traffic forecasting
Traffic models
title Forecasting inaccuracies: A result of unexpected events, optimism bias, technical problems, or strategic misrepresentation?
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T14%3A09%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Forecasting%20inaccuracies:%20A%20result%20of%20unexpected%20events,%20optimism%20bias,%20technical%20problems,%20or%20strategic%20misrepresentation?&rft.jtitle=Journal%20of%20transport%20and%20land%20use&rft.au=N%C3%A6ss,%20Petter&rft.date=2015-01-01&rft.volume=8&rft.issue=3&rft.spage=39&rft.epage=55&rft.pages=39-55&rft.issn=1938-7849&rft.eissn=1938-7849&rft_id=info:doi/10.5198/jtlu.2015.719&rft_dat=%3Cjstor_doaj_%3E26189165%3C/jstor_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c348t-182cfebddff1312c0fa82171af7446cf2ce3d05576195661f539d39a63d278713%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_jstor_id=26189165&rfr_iscdi=true