Predicting Response Rate: A Natural Experiment

Axhausen, Kay W.; Weis, Claude

doi:10.29115/sp-2010-0009

Cited by 38 publications

(15 citation statements)

References 18 publications

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“…It is also satisfactory in view of the fact that the survey asks for very confidential information such as names and postal addresses of friends and family members (for arrangements to increase the response rate see [24]). When using the instrument's response burden as input, a tool from commercial survey research estimated a lower response rate [33].…”

Section: Application and Issues Of Snowball Samplingmentioning

confidence: 99%

Insights into a spatially embedded social network from a large-scale snowball sample

et al. 2011

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Much research has been conducted to obtain insights into the basic laws governing human travel behaviour. While the traditional travel survey has been for a long time the main source of travel data, recent approaches to use GPS data, mobile phone data or the circulation of bank notes as a proxy for human travel behaviour are promising. The present study proposes a further source of such proxy-data: the social network. We collect data using an innovative snowball sampling technique to obtain details on the structure of a leisure-contacts network. We analyse the network with respect to its topology, the individuals' characteristics, and its spatial structure. We further show that a multiplication of the functions describing the spatial distribution of leisure contacts and the frequency of physical contacts results in a trip distribution that is consistent with data from the Swiss travel survey.

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Section: Application and Issues Of Snowball Samplingmentioning

confidence: 99%

Insights into a spatially embedded social network from a large-scale snowball sample

et al. 2011

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“…It matches the experiences with comparable studies at IVT, as is shown in Figure 2. The ex-ante response burden for the different surveys was determined according to the scheme detailed in the work of Axhausen and Weis (19). The methodology assigns weighted scores to question types and sums them up to calculate the overall response burden of the survey.…”

Section: Response Ratesmentioning

confidence: 99%

Models of Mode Choice and Mobility Tool Ownership beyond 2008 Fuel Prices

Weis

Axhausen

Schlich

et al. 2010

Transportation Research Record: Journal of the Transportation R

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A recent project addressed how travelers would react to fuel prices rising above the high levels that were reached in mid 2008. Study participants were recruited during phone interviews, in the course of which trips made on a specified day were recorded. On the basis of one of those trips and the respondents’ possession of mobility tools, stated preference (SP) experiments were constructed. The first part consisted of a mode choice situation under modified price (and travel time) settings (tactical decisions). The second part focused on long-term (strategic) choices between the current and an alternative fleet, including a redistribution of yearly mileage. From the SP data, multinomial logit models for mode and fleet choice were estimated. The mode choice models were estimated by using income- and distance-dependent nonlinear utility functions and separately for the various trip purposes (as was the practice in earlier Swiss studies on similar topics) and controlled for all relevant trip characteristics. The models for mobility tool ownership, which were formulated by using a new approach, aimed to yield trade-offs between the various attributes of the offered fleets and to forecast the distribution of annual transit passes under modified settings. The findings suggest that inertia is present in both mode choice and mobility tool ownership. Elasticities do not change much from previous studies, where more-conservative price increases were assumed. Transit pass ownership is expected to grow only when increasing fuel prices coincide with stable public transport fares.

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“…All three actual rates were in the expected range. The response behavior was better than the earlier Swiss experiences (33). A recruitment rate of over 30% for the CATI interview and 75% completion rate for the first phases and response rates of 73% and 93% for the second phases in spite of the complexity of the instruments are indicative of the interest in the topic.…”

Section: Responsementioning

confidence: 75%

“…Before the beginning of the first wave the response rates for the paper-pencil and online business and non-business studies were predicted following (33). All three actual rates were in the expected range.…”

Section: Responsementioning

confidence: 99%

Reliability in the German Value of Time Study

Ehreke

Hess

Weis³

et al. 2015

Transportation Research Record: Journal of the Transportation R

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The German Federal Ministry of Transport and Digital Infrastructure is currently preparing the 2015 Federal Transport Investment Plan. As part of this, it is updating the overall methodology of its cost-benefit analysis meaning values of both reliability (VOR) and travel time (VOT) for personal and business travel will be estimated. While the VOTs will replace a set of existing values, the VOR will be estimated for the first time as they are not incorporated in the standard appraisal yet. The data collection adopted a two-stage approach: first respondents reported about current trips (revealed preference), which were then systematically varied to be the basis for stated preference experiments. This paper presents the findings of estimating the VOR. In the SP experiments the reliability of the travel modes was presented with different formats. The final model formulation differs in the definition of reliability for private and public transport. For car trips, saving travel time is "worthier" to the respondents than reducing the variability. The calculated VOR for the mean expected unscheduled delay of public transport trips are slightly lower than the VOTs which means that the reliability is here less important to the respondents than relevant travel time saving. One minute of mean expected unscheduled delay and one minute of standard deviation are almost equivalent to one minute of travel time saving (reliability ratio). As this has been the first official estimation of the value of reliability and time for Germany, the values should be reconsidered and updated on a regular basis.Ehreke, Hess, Weis, Axhausen 3 INTRODUCTION AND RELATED WORKThe effects of hundreds of infrastructure projects on transport policies and investments are to be evaluated with cost benefit analyses (CBA) in Germany. The German Federal Ministry of Transport and Digital Infrastructure (BMVI) is currently preparing the 2015 Federal Transport Investment Plan (Bundesverkehrswegeplan, BVWP) its medium to long-term investment strategy for the country's transport infrastructure serving longer distance travel. As part of this, it is updating and modernizing the overall methodology of its central evaluation tool: the cost-benefit analysis. One on-going project is focusing on the CBA as such, and a second is estimating and recommending values of reliability (VOR) and travel time (VOT) for personal and business travel. While the new VOTs will replace a set of existing values which were based on values from BVWP'92 and have not been verified independently since then, the VOR will be estimated for the first time as they are not yet incorporated in the standard appraisal yet. The aim of integrating reliability into the new BVWP is in line with practice and science to make transport systems not only faster but also more reliable (1) Another BMVI initiated ongoing project will calculate VOTs and VORs for freight (2) but this is not subject of the presented research. Infrastructure projects evaluated with CBA and transport policies not only influen...

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Predicting Response Rate: A Natural Experiment

Cited by 38 publications

References 18 publications

Insights into a spatially embedded social network from a large-scale snowball sample

Insights into a spatially embedded social network from a large-scale snowball sample

Models of Mode Choice and Mobility Tool Ownership beyond 2008 Fuel Prices

Reliability in the German Value of Time Study

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