The transformation of urban transport in the Czech Republic, 1988–1998

Similar to virtually all formerly socialist countries in Central and Eastern Europe, the Czech Republic has been experiencing a transport revolution since the shift from socialism to capitalism a decade ago. From 1988 to 1998, per-capita car ownership rose by 63% in the country as a whole, and by 93% in the capital city of Prague. Vehicle km of motor vehicle use have more than doubled. Conversely, public transport usage has fallen considerably, by 26% in the country as a whole, and by 19% in Prague. This modal shift from public transport to the private car has resulted from increased incomes, access to Western markets, declining real prices of cars and petrol, removal of restrictions on manufacturing and importing cars, and the car's attraction as a symbol of freedom, affluence, and status. The sharp reduction of subsidies for public transport has forced increases in fares and service cutbacks, which have also encouraged the shift toward the private car. Although the private car is very popular, the sudden surge in car ownership and use has caused significant social and environmental problems: roadway congestion, parking shortages, increased traffic accidents, air pollution, and noise. Given their severe financial limitations, Czech cities are struggling to preserve their public transport systems while accommodating the immensely popular private car.     

Identification of determinants for rescheduling travel mode choice and transportation policies to reduce car use in urban areas

This paper presents a qualitative analysis about the determinants related to rescheduling travel mode decisions during the activity scheduling process. Notably, we were interested to study changes between intention and behavior. Data used came from an in-depth Computer Assisted Telephone Interview (CATI) follow up survey to habitual drivers carried out during the implementation of a panel survey. An interpretative qualitative method based on Analytic Induction was used to cope with the complex nature of rescheduling decisions and the characteristics of the data. The Theory of Planned Behavior has been used to gain a better understanding of the reasons associated with rescheduling travel mode decisions and to obtain a possible explanation of the phenomena studied. In our sample, 12 codes were identified as the main determinants of travel mode changing. Main reasons for rescheduling a travel mode are different considering gender, age, and the type of travel mode change. Main reasons for changing a nonprivate preplanned travel mode to a private travel mode are different considering the type of travel mode preplanned. New determinants of rescheduling decisions different from those associated with other activity scheduling decisions previously identified emerge when analyzing travel mode changes. A number of important sustainable transportation policies to reduce car use in urban areas are derived from the results of this study.     

Car-sharing organizations: The size of the market segment and revealed change in mobility behavior

Car-sharing organizations (CSO) have recently spread throughout central European cities and currently have 20000 members. They lower individual fixed costs of car availability change the incentive structure of private vehicle use by transforming nearly all costs into variable costs. A survey of all current Austrian CSO members is used to identify the characteristics significant of members. A procedure is proposed to quantify urban local market segment potentials and is applied to two residential areas. The net impact of CSOs depends on how the new incentive structure changes mobility behavior. A controlled experiment of voluntary new members was carried out to compare pre-membership and membership trip structure and modal split. Results indicate a substantial reduction of aggregate private vehicle mileage. While the share of trips by car is constant, changes in trip length are observed, with there being different changes for households which previously owned a car and those which did not. Combining behavior impact with market segment size results in the quantification of emission reduction and car ownership reduction (land use demand) due to car-sharing, which is a decentralized demand-side transport policy.