Modelling and Forecasting Car Ownership in Romania's Counties Using Bass Diffusion Model

Land-use and transportation are dynamically subjected to external influences, such as changes in politic regime, economy, demography, technology and sometimes culture. The sudden or slow changes that are occurring at a point in time determine endogenous changes within the components, and therefore, induce complex behaviour in the transportation system. Moreover, if the changes occur without being a result of a forecast or a regulation in policy (to respond to unwanted effects), the behaviour could be unexpected. Also, the mitigation of observable negative effects (environmental) becomes a complicated and assiduous process. The scope of the study is to bring contributions to the understanding the changes within the transportation system as result of economic development in post-socialist countries in the last 25 years. Given that car ownership is important to transport and land-use planning and its relationship with energy consumption, the environment and health, the objective of this research is to develop a methodology for modelling and forecasting car ownership levels in Romania, using the Bass diffusion model. The model was estimated using cross section time-series data on vehicle ownership in Romania’s 42 counties and consists of population evolution, vehicle ownership as well as economic development by means of gross regional product (GRP). The authors analysis spans since the beginning of the 1990s until the recent years. The authors were constrained by the scarcity of studies in the field of urban transportation planning in Romania and were limited to data from the Romanian National Institute of Statistics and Eurostat. This paper intends to provide recommendations to overcome the negative effects of sharp increase of motorization by giving better chances to relevant actions.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Bibliography; Figures; Tables;
  • Pagination: 11p
  • Monograph Title: European Transport Conference 2015: Strands

Subject/Index Terms

Filing Info

  • Accession Number: 01579842
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 28 2015 10:19AM