Accuracy of household planning of car use: comparing prospective to actual car logs

Jakobsson, Cecilia

doi:10.1016/j.trf.2003.10.001

Cited by 32 publications

(15 citation statements)

References 20 publications

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“…While intention is notoriously different from behavior, it is nonetheless considered a useful marker of behavior (Gärling andSchuitema 2007, Jakobsson 2004). Weather, illness, and unspecified unexpected events may all cause discrepancies between intentions and actual use of different modes (Jakobsson 2004). Varying degrees of ability to complete a behavior (perceived behavioral control) can also cause a discrepancy between intentions and behavior (Ajzen 1991).…”

Section: Insights From Psychology: Intentions In the Theory Of Plannementioning

confidence: 99%

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Using an accelerated vehicle retirement program (AVRP) to support a mode shift: Car purchase and modal intentions following program participation

Lachapelle

2015

JTLU

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Abstract:To stimulate the economy and reduce greenhouse gas emissions from older vehicles, most accelerated vehicle retirement programs (AVRPs) provide participants with incentives to purchase a new, less-polluting vehicle. The province of Québec also designed its AVRP as a mode-shift tool by providing alternative travel incentives to participants. Alternatives include public transit passes, rebates on bicycles and car-sharing memberships. In the absence of postprogram assessment, the theory of planned behavior is used to assess participants' modal intentions and intentions to purchase a new or used vehicle following participation. A subset (22 percent) of program participants (2009-2011; n=9070) filled out an optional survey about vehicle purchases and travel intentions. Age, gender, income, distance traveled in the previous year and perceived access to public transit were used as independent variables in logit and multinomial logit regressions. Car purchase intentions and traveling by car were associated with greater distance traveled. Higher-income participants were more likely to purchase new vehicles, and lower-income people and students were more likely to purchase used vehicles or refrain from any purchase. Alternative travel intentions were each associated with different socio-demographic characteristics. Québec's program offers a promising incentive-based opportunity to influence mode shift if favorable circumstances are in place to enhance access to alternative travel modes.

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Section: Insights From Psychology: Intentions In the Theory Of Plannementioning

confidence: 99%

“…The TPB and additional measures of past behavior have been used in assessing intentions to choose a travel destination (Lam and Hsu 2006). Numerous other examples exist in the urban travel literature (e.g., Chen and Chao 2011, Jakobsson 2004, Bamberg et al 2003). …”

Section: Insights From Psychology: Intentions In the Theory Of Plannementioning

confidence: 99%

Using an accelerated vehicle retirement program (AVRP) to support a mode shift: Car purchase and modal intentions following program participation

Lachapelle

2015

JTLU

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“…These driving reduction interventions include behavioral, psychological, economic, and social modification techniques. Some of the most commonly used interventions or strategies are travel feedback programs (TFP; e.g., Eriksson, Garvill, & Nordlund, 2008;Fujii & Taniguchi, 2005;Garling, Garling, & Johansson, 2000;Garling, Gillholm, & Garling, 1998;Garling & Marell, 1992;Jakobsson, Fujii, & Garling, 2002;Tertoolen, Van Kreveld, & Verstraten, 1998), travel demand management measures (TDM; e.g., Garling, Eek, et al, 2002;Jakobsson, 2004;Litman, 2003;Loukopoulos, 2007), or mobility management measures (e.g., Litman, 2003). These interventions vary by level of coerciveness; with travel feedback programs being the least coercive and travel demand management programs such as a tax on vehicle miles of travel being the most coercive.…”

Section: Driving Reduction Interventionsmentioning

confidence: 99%

“…Only three of eight studies (37.5%) in the meta-analysis report using both travel diaries and odometer readings (observable behavior) (e.g., Garling et al, 1998;Garling & Marell, 1992;Jakobsson, 2004). All of the seventeen studies included in the metaanalysis conducted Taniguchi and colleagues (2007) used a travel diary or survey to collect driving behavior data.…”

Section: Measurement Issuesmentioning

confidence: 99%

Prize-based contingency management: A vehicle miles of travel reduction intervention

Marquit¹

2011

PsycEXTRA Dataset

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During the past 50 years, air pollution has become a growing problem throughout the Intermountain West because of increases in personal vehicle ownership and usage.Scientists continue to design interventions to improve air quality by encouraging people to reduce their personal vehicle miles of travel (VMT). However, results of these interventions have only seen modest reductions in VMT because of some methodological and measurement issues. To address these limitations, a 14-week driving reduction intervention was conducted in Cache County, Utah. This intervention employed a prizebased contingency management system within a single-subject, A-B-A withdrawal research design that rewarded participants with prizes if they were able to reduce their VMT below their baseline mean. The VMT was measured each day with an in-car GPS electronic tracking device. Results of this intervention indicate both short-and long-term reductions in VMT as a result of the treatment. Specifically, 6 of the 10 participants iv showed a statistically significant reduction from the baseline to the intervention stage and maintenance of this reduction during the return-to-baseline stage. The other four participants exhibited a similar pattern but their change in vehicle miles of travel was not statistically significant. Interaction effects were not found between the "Choose Clean Air" social marketing campaign, gas prices, temperature, and PM 2.5 levels. Despite some problems with the transmission and recording of VMT data, this intervention provides further evidence for the application of prize-based contingency management systems to the reduction of a problematic behavior or encouragement of proenvironmental or pro-social behaviors. The in-car GPS devices improved VMT data collection and quality of the data but hardware and software improvements are still needed to prevent data loss. Further replication is necessary to determine the efficacy of driving reduction intervention that employs prize-based contingency management systems at the community or group level. Future research should also test the possible demographic differences between those that respond favorably to this type of intervention and those that do not, and the differences between prize delivery systems (immediate versus delayed) and prize magnitude (low-versus high-dollar amounts) on driving behaviors.(164 pages) v ACKNOWLEDGMENTS

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“…The significant role of aversion towards wait time, uncertain delays, and changes are other recurrent research findings. An important distinction has furthermore been made between habitual, impulsive, compulsive, and planned travel (Doherty & Miller, 2000;Jakobsson, 2004). Commuting to work is an example of habitual travel.…”

Section: Responses To Tdm Measuresmentioning

confidence: 99%

Changes of Private Car Use in Response to Travel Demand Management

Gärling¹

2005

Traffic and Transport Psychology

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In times when reduction and changes in private car use is on the political agenda in urban areas, there is a need to better understand and forecast the process of change in car use. Traditional conceptualizations of travel choice in equilibrium may be insufficient to this end and need to be complemented. An alternative theoretical framework is therefore proposed based on goal setting and self-regulation theory in social psychology with the aim of analyzing responses to travel demand management (TDM) measures targeting reduced or changed car use. Such measures are assumed to lead to that car users set car-use reduction or change goals followed by planning of how to implement and implementing changes in car use to reach the goals. It is hypothesized that choices among change options are made sequentially according to a satisficing principle of minimizing psychological costs. As implied by an operationalization of this hypothesis, the result of a survey indicate that choices of mode switching correlate the strongest with the size of the car-use reduction goal, activity/trip suppression the next strongest, and efficient car use (trip chaining, car pooling, and choice of closer destinations) the weakest. The results of two additional followup surveys show that choice of number and frequency of adaptation alternatives as expected increase with the size of the car-use reduction or change goal. Taken together the results also suggested, however, that costs and effectiveness of adaptation alternatives may vary with trip purpose, the particular travel demand management measure, and household characteristics. Further research needs to incorporate such factors.

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Accuracy of household planning of car use: comparing prospective to actual car logs

Cited by 32 publications

References 20 publications

Using an accelerated vehicle retirement program (AVRP) to support a mode shift: Car purchase and modal intentions following program participation

Using an accelerated vehicle retirement program (AVRP) to support a mode shift: Car purchase and modal intentions following program participation

Prize-based contingency management: A vehicle miles of travel reduction intervention

Changes of Private Car Use in Response to Travel Demand Management

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