Econometric Models of Road Use, Accidents, and Road Investment Decisions. Volume 2.

摘要

Using a fairly large cross-section/time-series data base, covering all provinces of Norway and all months between January 1973 and December 1994, we estimate non-linear (box-Cox) regression equations explaining aggregate car ownership, road use, seat belt use, accident frequency, and accident severity. Explanatory variables used include road infrastructure, public transportation level-of-service and fares, population, income, fuel prices, vehicle prices, interest level, weather, daylight, seat belt legislation, access to alcohol, calendar effects, reporting routines, and geographic characteristics. The econometric model has received the acronym TRULS.