Integrated Behavior Model Research Articles

Intervention strategy to stimulate energy-saving behavior of local residents

This study investigates intervention strategy in stimulating energy-saving behavior to achieve energy neutral urban development. A tree structure overview of potential interventions classified into three categories is revealed. An integrated behaviour model is developed reflecting the relations between behaviour and influence factors. A latent class model is used to identify segments of local residents who differ regarding their preferences for interventions. Data are collected from a sample of residents in the Eindhoven region of the Netherlands in 2010. The results indicate that social-demographic characteristics, knowledge, motivation and context factors play important roles in energy-saving behaviour. Specifically, four segments of residents in the study area were identified that clearly differed in their preferences of interventions: cost driven residents, conscious residents, ease driven residents and environment minded residents. These findings emphasize that the intervention strategy should be focused on specific target groups to have the right mixture of interventions to achieve effective results on stimulating them to save energy.

How destination image and evaluative factors affect behavioral intentions?

Differing from the previous studies, this study proposed a more integrated tourist behavior model by including destination image and perceived value into the “quality–satisfaction–behavioral intentions” paradigm. The structural relationships between all variables with respect to different stages of tourist behaviors were investigated in the study. The results show that destination image have both direct and indirect effects on behavioral intentions. In addition, the path “destination image→trip quality→perceived value→satisfaction→behavioral intentions” appears evident in this study.

Model of Unplanned Smoking Initiation of Children and Adolescents: an integrated stage model of smoking behavior

Background. Two lines of psychological research have attempted to spell out the stages of adolescent smoking initiation. The first has focused on behavioral stages of smoking initiation, while the second line emphasized motivational stages. Methods. A large international sample of European adolescents ( N = 10,170, mean age = 13.3 years) was followed longitudinally. Self-reported motivational and behavioral stages of smoking initiation were integrated, leading to the development of the Model of Unplanned Smoking Initiation of Children and Adolescents (MUSICA). The MUSICA postulates that youngsters experiment with smoking while they are in an unmotivated state as regards their plans for smoking regularly in the future. Results. More than 95% of the total population resided in one of the seven stages distinguished by MUSICA. The probability of starting to smoke regularly during the 12 months follow-up period increased with advanced stage assignment at baseline. Unique social cognitive predictors of stage progression from the various stages were identified, but effect sizes of predictors of transitions were small. Conclusions. The integration of motivational and behavioral dimensions improves our understanding of the process of smoking initiation. In contrast to current theories of smoking initiation, adolescent uptake of smoking behavior was found to be an unplanned action.

The time course of a lane change: Driver control and eye-movement behavior

In this paper we explore the time course of a lane change in terms of the driver’s control and eyemovement behavior. We conducted an experiment in which drivers navigated a simulated multi-lane highway environment in a fixed-base, medium-fidelity driving simulator. We then segmented the driver data into standardized units of time to facilitate an analysis of behavior before, during, and after a lane change. Results of this analysis showed that (1) drivers produced the expected sine-wave steering pattern except for a longer and flatter second peak as they straightened the vehicle; (2) drivers decelerated slightly before a pass lane change, accelerated soon after the lane change, and maintained the higher speed up until the onset of the return lane change; (3) drivers had their turn signals on only 50% of the time at lane-change onset, reaching a 90% rate only 1.5–2 s after onset; (4) drivers shifted their primary visual focus from the start lane to the destination lane immediately after the onset of the lane change. These results will serve as the basis for future development of a new integrated model of driver behavior. 2002 Elsevier Science Ltd. All rights reserved.

Matching treatments to client problems not diagnostic labels: A case for paradigmatic behavior therapy

The present article critically analyzes the current approach to treatment outcome research and the uncritical use of treatment packages. Comparing various combinations of treatments with groups of clients randomly assigned to these conditions has led to the neglect of individual differences between persons falling into broad diagnostic categories. The inconclusive results of such studies say little about the efficacy of a particular treatment for an individual client and are also not very useful in helping clinicians to decide which specific treatment to use for a given client. Although treatment packages may be attractive and at times helpful to clinicians, their simplistic use is antithetical to the original and unique approach of behavior therapy and no substitute for treatment individualization. Using the example of agoraphobic problems we show how a conceptual understanding of the processes involved in a given clinical problem and the development of an integrative paradigmatic behavioral model may guide the researcher/clinician toward more effective treatment planning. Conceptually derived treatments can be individualized more easily and therefore take better account of individual differences between clients suffering from a seemingly similar problem. Treatment outcome studies should specifically compare the efficacy of matching particular types and constellations of dysfunctional processes with different procedures which specifically target those dysfunctions.