Are cars used differently in Germany than in California? Findings from annual car-use profiles. (May 2018)

• Record Type: Journal Article
• Authors: Eisenmann, Christine; Buehler, Ralph
• Is Part Of: Journal of transport geography. Volume 69(2018)
• Page Start: 171
• Page End: 180
• Publication Date: 2018-05
• Subjects: Car-use -- Cluster analysis -- German mobility panel -- California household travel survey; Transportation -- Periodicals; Telecommunication -- Periodicals; Transport -- Périodiques; Télécommunications -- Périodiques; Telecommunication; Transportation; Periodicals; 388
• DOI: 10.1016/j.jtrangeo.2018.04.022
• Languages: English
• ISSNs: 0966-6923

Abstract

Abstract: The personal car is the most important mode of transport in most countries. Many policies are in place in different countries and regions to tackle unsustainable trends associated with car travel. A reason for the varying success of the same measure from one country to another might be different car-usage patterns. Using Germany and California as case studies to investigate differences and similarities in car use, we adapted the CUMILE model both for Germany and California in order to generate detailed profiles of car use over one year. Hierarchical cluster analysis subdivided the sample into clusters with similar car-usage characteristics. Then, we compared clusters of cars with similar usage between Germany and California in terms of cluster size, car properties and sociodemographic characteristics of their owners. The same eight car-usage clusters emerged in both study areas–with varying cluster sizes. We descriptively labeled the clusters: standing cars, moderate-range cars, day-to-day cars, workday cars, weekend cruisers, long-distance cars, short-haul cars and all-rounders. A better understanding of car-use patterns throughout a year and the size and characteristics of car-use clusters is beneficial for the identification of policies to make transport systems more sustainable. Highlights: Car-use profiles over one year were modeled for Germany and California. Model inputs were national and state-level travel surveys. Eight car clusters with similar use patterns exist in Germany and California. Clusters vary in terms of size, car properties, and sociodemographic characteristics.