Forecasting Travel Time Reliability in Road Transport: A new Model for The Netherlands
In this paper we describe how we included travel time variability in the national Dutch transport forecasting model and what the policy impacts of this new forecasting tool are. Until now, travel time reliability improvements for road projects were included in Dutch cost-benefit analysis (CBA) by mu...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Paris
OECD Publishing
2016
|
| Series: | International Transport Forum Discussion Papers
no.2016/02 |
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | In this paper we describe how we included travel time variability in the national Dutch transport forecasting model and what the policy impacts of this new forecasting tool are. Until now, travel time reliability improvements for road projects were included in Dutch cost-benefit analysis (CBA) by multiplying the travel time benefits from reduced congestion by a factor 1.25. This proportionality is based on the linkage between congestion reduction and reliability improvements. However, this treatment of reliability is not useful to evaluate policies that especially affect travel time variability. From the start, this method was provisional and meant to be replaced by a better method capturing travel time variability. For this, we derived an empirical relation between the standard deviation of travel time, mean delay of travel time and length of route. This has been implemented in the national Dutch model as a post processing module. The new travel time reliability forecasting model will be incorporated in the Dutch guidelines for CBA. |
| Physical Description: | 1 Online-Ressource (31 Seiten) |
Staff View
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-13-SOC-061316601 | ||
| 003 | DE-627-1 | ||
| 005 | 20241028114421.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210204s2016 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1787/3ae9c057-en |2 doi | |
| 035 | |a (DE-627-1)061316601 | ||
| 035 | |a (DE-599)KEP061316601 | ||
| 035 | |a (FR-PaOEC)3ae9c057-en | ||
| 035 | |a (DE-627-1)061316601 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Kouwenhoven, Marco |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Forecasting Travel Time Reliability in Road Transport |b A new Model for The Netherlands |c Marco, Kouwenhoven and Pim, Warffemius |
| 264 | 1 | |a Paris |b OECD Publishing |c 2016 | |
| 300 | |a 1 Online-Ressource (31 Seiten) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 0 | |a International Transport Forum Discussion Papers |v no.2016/02 | |
| 520 | |a In this paper we describe how we included travel time variability in the national Dutch transport forecasting model and what the policy impacts of this new forecasting tool are. Until now, travel time reliability improvements for road projects were included in Dutch cost-benefit analysis (CBA) by multiplying the travel time benefits from reduced congestion by a factor 1.25. This proportionality is based on the linkage between congestion reduction and reliability improvements. However, this treatment of reliability is not useful to evaluate policies that especially affect travel time variability. From the start, this method was provisional and meant to be replaced by a better method capturing travel time variability. For this, we derived an empirical relation between the standard deviation of travel time, mean delay of travel time and length of route. This has been implemented in the national Dutch model as a post processing module. The new travel time reliability forecasting model will be incorporated in the Dutch guidelines for CBA. | ||
| 650 | 4 | |a Transport | |
| 650 | 4 | |a Netherlands | |
| 700 | 1 | |a Warffemius, Pim |e MitwirkendeR |4 ctb | |
| 966 | 4 | 0 | |l DE-862 |p ZDB-13-SOC |q FWS_PDA_SOC |u https://doi.org/10.1787/3ae9c057-en |m X:OECD |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-13-SOC |q FWS_PDA_SOC |u https://doi.org/10.1787/3ae9c057-en |m X:OECD |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-13-SOC | ||
| 912 | |a ZDB-13-SOC-ebook | ||
| 912 | |a ZDB-13-SOC | ||
| 951 | |a BO | ||
| 912 | |a ZDB-13-SOC | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
| DE-BY-FWS_katkey | ZDB-13-SOC-061316601 |
|---|---|
| _version_ | 1826942520224907264 |
| adam_text | |
| any_adam_object | |
| author | Kouwenhoven, Marco |
| author2 | Warffemius, Pim |
| author2_role | ctb |
| author2_variant | p w pw |
| author_facet | Kouwenhoven, Marco Warffemius, Pim |
| author_role | aut |
| author_sort | Kouwenhoven, Marco |
| author_variant | m k mk |
| building | Verbundindex |
| bvnumber | localFWS |
| collection | ZDB-13-SOC ZDB-13-SOC-ebook |
| ctrlnum | (DE-627-1)061316601 (DE-599)KEP061316601 (FR-PaOEC)3ae9c057-en |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02294cam a22003732 4500</leader><controlfield tag="001">ZDB-13-SOC-061316601</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20241028114421.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210204s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1787/3ae9c057-en</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)061316601</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP061316601</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(FR-PaOEC)3ae9c057-en</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)061316601</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kouwenhoven, Marco</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Forecasting Travel Time Reliability in Road Transport</subfield><subfield code="b">A new Model for The Netherlands</subfield><subfield code="c">Marco, Kouwenhoven and Pim, Warffemius</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Paris</subfield><subfield code="b">OECD Publishing</subfield><subfield code="c">2016</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (31 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">International Transport Forum Discussion Papers</subfield><subfield code="v">no.2016/02</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper we describe how we included travel time variability in the national Dutch transport forecasting model and what the policy impacts of this new forecasting tool are. Until now, travel time reliability improvements for road projects were included in Dutch cost-benefit analysis (CBA) by multiplying the travel time benefits from reduced congestion by a factor 1.25. This proportionality is based on the linkage between congestion reduction and reliability improvements. However, this treatment of reliability is not useful to evaluate policies that especially affect travel time variability. From the start, this method was provisional and meant to be replaced by a better method capturing travel time variability. For this, we derived an empirical relation between the standard deviation of travel time, mean delay of travel time and length of route. This has been implemented in the national Dutch model as a post processing module. The new travel time reliability forecasting model will be incorporated in the Dutch guidelines for CBA.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Transport</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Netherlands</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Warffemius, Pim</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-13-SOC</subfield><subfield code="q">FWS_PDA_SOC</subfield><subfield code="u">https://doi.org/10.1787/3ae9c057-en</subfield><subfield code="m">X:OECD</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-13-SOC</subfield><subfield code="q">FWS_PDA_SOC</subfield><subfield code="u">https://doi.org/10.1787/3ae9c057-en</subfield><subfield code="m">X:OECD</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC-ebook</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-13-SOC</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-13-SOC-061316601 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:29:19Z |
| institution | BVB |
| language | English |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 Online-Ressource (31 Seiten) |
| psigel | ZDB-13-SOC FWS_PDA_SOC ZDB-13-SOC ZDB-13-SOC-ebook |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | OECD Publishing |
| record_format | marc |
| series2 | International Transport Forum Discussion Papers |
| spelling | Kouwenhoven, Marco VerfasserIn aut Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands Marco, Kouwenhoven and Pim, Warffemius Paris OECD Publishing 2016 1 Online-Ressource (31 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier International Transport Forum Discussion Papers no.2016/02 In this paper we describe how we included travel time variability in the national Dutch transport forecasting model and what the policy impacts of this new forecasting tool are. Until now, travel time reliability improvements for road projects were included in Dutch cost-benefit analysis (CBA) by multiplying the travel time benefits from reduced congestion by a factor 1.25. This proportionality is based on the linkage between congestion reduction and reliability improvements. However, this treatment of reliability is not useful to evaluate policies that especially affect travel time variability. From the start, this method was provisional and meant to be replaced by a better method capturing travel time variability. For this, we derived an empirical relation between the standard deviation of travel time, mean delay of travel time and length of route. This has been implemented in the national Dutch model as a post processing module. The new travel time reliability forecasting model will be incorporated in the Dutch guidelines for CBA. Transport Netherlands Warffemius, Pim MitwirkendeR ctb |
| spellingShingle | Kouwenhoven, Marco Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands Transport Netherlands |
| title | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands |
| title_auth | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands |
| title_exact_search | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands |
| title_full | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands Marco, Kouwenhoven and Pim, Warffemius |
| title_fullStr | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands Marco, Kouwenhoven and Pim, Warffemius |
| title_full_unstemmed | Forecasting Travel Time Reliability in Road Transport A new Model for The Netherlands Marco, Kouwenhoven and Pim, Warffemius |
| title_short | Forecasting Travel Time Reliability in Road Transport |
| title_sort | forecasting travel time reliability in road transport a new model for the netherlands |
| title_sub | A new Model for The Netherlands |
| topic | Transport Netherlands |
| topic_facet | Transport Netherlands |
| work_keys_str_mv | AT kouwenhovenmarco forecastingtraveltimereliabilityinroadtransportanewmodelforthenetherlands AT warffemiuspim forecastingtraveltimereliabilityinroadtransportanewmodelforthenetherlands |