International comparison of psychological factors and their influence on travel behavior in hybrid cities

Behren, Sascha von; Schubert, Richard; Chlond, Bastian

doi:10.1016/j.rtbm.2020.100497

Cited by 5 publications

(6 citation statements)

References 31 publications

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“…In addition to these well-known motives, other investigations continue to expand the understanding of underlying motivations for car use. Von Behren et al identify privacy and autonomy to be relevant aspects determining people's choice of the car over other modes (6). Other studies confirm privacy as a relevant motivator for car use (5,11,14,15).…”

Section: Car Dependence and Motives For Car Usementioning

confidence: 98%

“…Numerous studies investigating the psychology of individuals and its relation to car dependence exist (2,3,11). As this field of research has gained significance in recent years, assumptions around the instrumental, affective, and symbolic value of cars as motives for their use has become more widespread (4,6,12,13).…”

Section: Car Dependence and Motives For Car Usementioning

confidence: 99%

“…As a result, this novel concept provides an alternative to trip diaries for certain study applications, providing a reasonable level of detail for comparatively low effort. For a more comprehensive description of the approach, reference is made to existing studies (3,6,17).…”

Section: Data Collection and Study Samplementioning

confidence: 99%

“…The recent global pandemic must be taken into account as well, since it has resulted in car use being more positively associated with safety and privacy during travel. If people feel uncomfortable in public transit because other passengers do not respect social distances, this can have a reinforcing effect on cars as the preferred mode of transport (6).…”

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confidence: 99%

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Classifying Car Owners in Latent Psychographic Profiles

Behren

Bönisch

Vallée

et al. 2021

Transportation Research Record

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Policy makers in urban areas are subjected to increasing pressure to find sustainable solutions to congestion and transportation. A detailed understanding of the motivations of car owners is required to enable the development of policies that are both socially fair and take effective measures. The objective of this study is to provide a more granular differentiation of car owners using psychographic profiles in three basic dimensions (privacy, autonomy, and car excitement). These profiles are also examined in relation to general travel behavior in everyday and long-distance travel. Data was collected in Munich and Berlin (Germany) and a latent class analysis was applied to segment respondents into latent profile classes. On this basis, six different profile classes were identified. In addition to the Car Independents profile class which does not have strong orientations toward the car, several profile classes were also identified with high concerns about “privacy” in relation to social distances in public transit. The information and analysis presented enables a deeper understanding of the motivations of the different target profile classes and discusses the need for tailored, socially fair measures to reduce car ownership and use within these groups.

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Section: Car Dependence and Motives For Car Usementioning

confidence: 98%

Section: Car Dependence and Motives For Car Usementioning

confidence: 99%

Section: Data Collection and Study Samplementioning

confidence: 99%

mentioning

confidence: 99%

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Classifying Car Owners in Latent Psychographic Profiles

Behren

Bönisch

Vallée

et al. 2021

Transportation Research Record

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“…Including both dimensions (behavior and psychology) allows for an improved understanding of the determinants of mobility [38]. The concept of the travel skeleton has already been tested in various international studies in the U.S., China and Germany [20,38,[43][44][45][46].…”

Section: Survey Designmentioning

confidence: 99%

Mobility Styles and Car Ownership—Potentials for a Sustainable Urban Transport

et al. 2021

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Decision-makers in cities worldwide have the responsibility to contribute to the reduction of greenhouse gas emissions in urban transport. Therefore, effective measures and policies that allow for a change in people’s mobility towards sustainable mobility must be derived. To understand how different people respond to measures and policies, and to increase the effectiveness of such policies, individual mobility needs and mobility determinants have to be considered. For this, the definition of individual mobility styles as holistic descriptions considering travel behavior, attitudes, as well as life stages is useful. This study presents a segmentation approach that identifies eight urban mobility styles by using data from a multidimensional survey conducted in Berlin and San Francisco. We applied a cluster analysis with both behavioral and attitudinal characteristics as segmentation criteria. By analyzing the characteristics, we identified a mobility style—the Environmentally Oriented Multimodals—that is environmentally oriented, but not yet all people in this cluster are sustainable in their mobility. Thus, they are the group with the highest potential to accept and use sustainable mobility. Additionally, we found that within the Environmentally Oriented Multimodals, the change from one life stage to another is also likely to be accompanied by a car acquisition.

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Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19

Jaekel

Muley

2022

Transportation Research Interdisciplinary Perspectives

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Response measures to contain COVID-19 spread varied from country to country, some imposed a complete lockdown while some imposed partial restrictions. This paper compares the transport impacts of the COVID-19 pandemic for two countries having dissimilar characteristics, Germany and State of Qatar, based on the rates of infection and response measures. Secondary data, obtained from Google mobility reports, and primary data, collected from local agencies, were used for comparison purposes. The secondary data comparison from February 2020 to July 2020 indicated an overall decline in mobility for all commercial activities and an increase was noted for parks and residential locations for Saxony, Germany. For State of Qatar, the mobility was decreased to all places except residential locations. Further, the comparison for traffic volumes and the number of crashes during the first wave of the pandemic indicated that the reduction in traffic volumes, major, and minor crashes was coupled with restrictive measures rather than COVID-19 incidences for both countries. Further, the traffic volumes showed a statistically significant inverse linear relationship with the stringency index for both countries during weekdays as well as weekends. These results suggest that the policy measures are key in governing movement restrictions and containing the spread of pandemic rather than the number of COVID-19 incidences. Further, the authorities should monitor the traffic trends during the pandemic and enforce the traffic rules and regulations as soon as the movement restrictions are lifted.

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International comparison of psychological factors and their influence on travel behavior in hybrid cities

Cited by 5 publications

References 31 publications

Classifying Car Owners in Latent Psychographic Profiles

Classifying Car Owners in Latent Psychographic Profiles

Mobility Styles and Car Ownership—Potentials for a Sustainable Urban Transport

Transport impacts in Germany and State of Qatar: An assessment during the first wave of COVID-19

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