{"status":"OK","data":{"id":238055,"identifier":"SS/VSOOFW","persistentUrl":"https://doi.org/10.17026/SS/VSOOFW","protocol":"doi","authority":"10.17026","separator":"/","publisher":"DANS Data Station Social Sciences and Humanities","publicationDate":"2024-06-03","storageIdentifier":"surf://10.17026/SS/VSOOFW","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9990,"datasetType":"dataset","locks":[],"latestVersion":{"id":21757,"datasetId":238055,"datasetPersistentId":"doi:10.17026/SS/VSOOFW","datasetType":"dataset","storageIdentifier":"surf://10.17026/SS/VSOOFW","versionNumber":2,"internalVersionNumber":7,"versionMinorNumber":0,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","distributionDate":"2024-05-31","productionDate":"2022-07-10","UNF":"UNF:6:svNOGJQGAbu4ISSJnLhpHw==","lastUpdateTime":"2026-06-11T12:18:21Z","releaseTime":"2026-06-11T12:18:21Z","createTime":"2024-06-10T09:56:50Z","publicationDate":"2024-06-03","citationDate":"2024-06-03","effectiveDatasetFileCountLimit":10000,"datasetFileUploadsAvailable":9990,"license":{"name":"DANS Licence","uri":"https://doi.org/10.17026/fp39-0x58","iconUri":""},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"New values of travel time, reliability and comfort in the Netherlands"},{"typeName":"alternativeTitle","multiple":true,"typeClass":"primitive","value":["VTTS"]},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"KiM Netherlands Institute for Transport Policy Analysis"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Significance"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Knoope, Marlinde"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"KiM Netherlands Institute for Transport Policy Analysis"}},{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"KiM"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"KiM Netherlands Institute for Transport Policy Analysis"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"Objective\nThe objective of this study was to generate a new and consistent set of values for changes in travel time, reliability and comfort for the various modes of transport in The Netherlands. These values serve as key input for Social Cost Benefit Analyses (SCBA) for mobility projects. \n\nScope\nCompared with the previous executed Dutch VTT study date back from 2013, national values of travel time have been laid down for walking and cycling in this study for the first time. The value of travel time for transport to and from airports (in The Netherlands) for travel by airplane have also been determined for the first time. Also new are the values of travel time of comfort. The comfort multipliers indicate the level of comfort in relation to passenger volume for train and BTM, and the comfort of the walking and cycling infrastructure. \n\nMethodology\nThe national averaged value of travel time (VTT) and value of travel time reliability (VTTR) for passenger transport are derived from Stated Preference (SP) choice experiments. A questionnaire is distributed among a target audience, containing questions regarding trip characteristics, personal characteristics and several choice experiments. In the experiment, respondents are asked to choose between hypothetical alternatives, each describing a trip in terms of travel time, travel cost and possibly other characteristics. Respondents are asked each time which alternative is preferred. From these choices the value of travel time and travel time reliability can be inferred.\nThe VTT and VTTR values are subsequently estimated by employing discrete choice models: models aiming to explain the observed choice made by the respondent in the experiment. Coefficients and interaction factors are added to these models to improve the model fit: boost the model's ability to explain the data. Once values have been obtained from these models, these number are applied to the sample of respondents to calculate their respective VTT/VTTR. Finally, these values are weighted to match statistics from the recent Dutch national travel survey. As a result, a VTT and VTTR is derived for each mode - purpose (business, commute and other) combination.\n\nData collection\nAbout 9,700 respondents participated in the passenger travel survey designed for the national VTT study. Roughly 80% of respondents were recruited from an internet panel and about 20% were recruited by an interviewer intercepting them during their travel. The survey contained 10 unique SP experiments, dedicated to various modes of transport (car, train, bus tram metro (BTM), airplane, recreational navigation, walking and cycling) and valuations (value of travel time, reliability, comfort and more). Each respondent participated in two of them, based on their current travel activities. The choice experiments were dynamically constructed by a pivotal experimental design, so that each respondent received realistic choice tasks relatable to their current travel pattern. \n\nThe main data collection phase occurred in June and September 2022. Response rates for both the internet panel and intercept recruitment were high compared to previous studies, especially compared to the previous Dutch VTT survey from 2009/2011. The use of a high-quality internet panel and the increased rewards for participation in this new study are the likely cause for this improvement. A filtering procedure based on a list of predetermined conditions was applied to the respondent data. Conditions for exclusion were entries for which it was suspected that something had gone wrong during the survey, either because of a problem in the survey, a misunderstanding, or a mistake made by the respondent. About 80% of the observations remained for further analysis after this procedure. This procedure has resulted in a final dataset of more than 7.500 high-quality reliable responses. \n\nSignificance was responsible for data gathering and analysis on behalf of the Netherlands Institute for Transport Policy Analysis (KiM). \n\nDataset\nNote that the uploaded datasets contains all (anonymised) data, which includes data from the various pilot studies and other data which are filtered out based on the filtering procedure to obtain the final dataset as above-mentioned."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Value of travel time"},"keywordVocabulary":{"typeName":"keywordVocabulary","multiple":false,"typeClass":"primitive","value":"VTT"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Value of 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Data"]},{"typeName":"series","multiple":true,"typeClass":"compound","value":[{"seriesInformation":{"typeName":"seriesInformation","multiple":false,"typeClass":"primitive","value":"https://significance.nl/case/de-waardering-van-reistijd/\n\nhttps://www.kimnet.nl/publicaties/publicaties/2023/12/04/nieuwe-waarderingskengetallen-voor-reistijd-betrouwbaarheid-en-comfort"}}]}]},"dansRights":{"displayName":"Rights Metadata","name":"dansRights","fields":[{"typeName":"dansRightsHolder","multiple":true,"typeClass":"primitive","value":["KiM Netherlands Institute for Transport Policy Analysis"]},{"typeName":"dansPersonalDataPresent","multiple":false,"typeClass":"controlledVocabulary","value":"Unknown"},{"typeName":"dansMetadataLanguage","multiple":true,"typeClass":"controlledVocabulary","value":["English"]}]},"dansRelationMetadata":{"displayName":"Relation 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must be 16 years or older;\n- they must be living in the Netherlands (excluding the Caribbean);\n- they must speak/understand Dutch.\n\nRespondents that were recruited via an internet panel were asked to describe a recent trip with the following conditions:\n- the trip duration must be at least 10 minutes (all modes) and must be at most 24 hours (air only);\n- the trip must have taken place in the last 4 weeks (car, train, local PT, cycling, walking) or in the last 3 months (air, recreational navigation);\n- the trip must have been entirely within the Netherlands (except air);\n-  respondents that described a car trip must have been the car driver (rather than a car passenger) and must not have used public transport during the same trip;\n-  respondents that described a local public transport trip (i.e. bus, tram and/or metro) must not have used a train during the same trip;\n-  respondents that described a cycling or walking trip must not have made a round-trip with the purpose of just taking a walk or a bike ride without going to a certain destination. Furthermore, they must not have used another travel mode such as car or public transport during the same trip;\n- respondents that described a recreational navigation trip must have passed at least one bridge or lock for which they had to wait before they could continue their trip. \n\nRespondents that were recruited at intercept locations were later asked to describe the trip they made when they were invited for this survey. They were also asked to confirm that that trip met all conditions above (except the condition that the trip was made in the last 4 weeks / 3 months, which was selfevident). \n\nFor all respondents the trip eligibility was checked during the analysis phase."]},{"typeName":"dansSamplingProcedureFreeText","multiple":false,"typeClass":"primitive","value":"For this project we used the Kantar NipoBase internet panel. This is a high-quality research panel with a composition resembles the Dutch population composition according to the MOA Gold Standard. It is known for its large size (> 40,000 members) and its high response rate.\n\nIn addition, respondents were collected on site. Recruiters were strategically positioned at locations where a lot of travellers could be contacted, e.g. a petrol station/service area, parking garage, a bus stop or a train station. We primarily used locations that were also used in the 2011 survey (which used similar locations as the 1988 and 1997 surveys), but other locations were added to get a more representative set of locations (e.g. better geographical spread)."},{"typeName":"dansDataCollectionSituation","multiple":false,"typeClass":"primitive","value":"Respondents received a relatively high reward. \nThey receive a reminder email to fill in the suvey. \nIt took respondents about 15-20 minutes to complete the survey."},{"typeName":"dansWeighting","multiple":false,"typeClass":"primitive","value":"For the response rate for the internet panel, targets were set for each main stratification segment (i.e. combination of mode and purpose) based on a minimum size (necessary to estimate significant coefficients) and proportionality with the size of this segment in the national travel survey ODiN 2019. Further stratification subsegments were defined based on age group and gender. Targets for these subsegments were set based on ODiN 2019.\n\nFor the intercept only targets were set on mode. \n\nSample enumeration is necessary to determine the national average of the VTT since the survey may not be fully representative for the full set of trips made in the Netherlands (despite our efforts to get a representative sample). In the report sample enumeration was based on the national travel survey ODiN 2022 and for ain on the Schiphol Routes & Profiles Monitor 2022."},{"typeName":"dansResponseRate","multiple":false,"typeClass":"primitive","value":"For the  main recruitment period of the internet panel, 12,753 panel members were invited, of which 8,551 started the survey. 1,553 of them did not complete the survey since they were not in scope (e.g. because the target for the sub segment to which they belonged was already fulfilled), or since they stopped prematurely, or since they were moved to another segment. In total 6,998 respondents completed the survey (which is 54.9% of all invited panel members, and 81.8% of those who started the survey).\n\nFor the intercept 3,991 respondents were invited to participate. More than 60% started the web-questionnaire. The remaining part either did not respond to the invitation, did not see the invitation (e.g. because the invitation mail arrived in their spam folder), or did not provide a correct e-mail address. For the respondents who opened the questionnaire, some surveys were automatically stopped if the respondent was not eligible for the survey (4.5%). About 10% of the invited respondents started the survey but chose to stop it before it was completed. The total response rate based on completed interviews was 45.9% (ranging from 37.4% for recreational navigation to 51.5% for train). Some respondents that were recruited at a bus station turned out to make a trip that in our survey was defined as a train trip, so some re-segmentation took place afterwards."}]},"dansTemporalSpatial":{"displayName":"Temporal and Spatial Coverage","name":"dansTemporalSpatial","fields":[{"typeName":"dansTemporalCoverage","multiple":true,"typeClass":"primitive","value":["2020","2021","2022"]},{"typeName":"dansSpatialCoverageControlled","multiple":true,"typeClass":"controlledVocabulary","value":["Netherlands"]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.17026/SS/VSOOFW"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"2.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:16086a95-fd1a-49f0-aff2-fc1358fce370"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-067466c7-99d1-400a-8eea-f639b0a61edc"}]}},"files":[{"description":"This is the data with the respondents’ characteristics of the Dutch VTT study. 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