Public transport demand analysis: a non-linear time-series model for Stockholm region
ridership - demand
This project deals with the demand for public transport trips by using aggregate time- series monthly data over a long-range time period (1973-1996). The research task is to test a two-step procedure, where the mode-of-payment forms an aggregate logit sub- model, which is linked to the main demand model for public transport trips by a utility term. It also aims at testing various non-linear functional forms of the demand model. Recent research findings show a broad spectrum of explanatory factors affecting public transport patronage, not only prices and travel times. The objective is to estimate which factors influences demand. By using non-linear statistical methods the magnitude of the influence of these factors will be esftmated. This paper deals with such a model for the Stockholm region, which has been estimated in spring 1998. The following types of de- pendent and explanatory variables will be examined: * Ticket sales & Public transport trips data * Ticket validity variables * Fares, Prices and other Public transport events variables * Activity variables * Car competition & road network data * Calendar & Climate data * Public transport supply variables. The Swedish Transport and Communications Research Board (KFB) and the Stockholm County Council Regional Planning and Urban Transportation Office has funded this re- search project. A more elaborate version of this paper (45 pages) was presented at the Swedish Research Conference: "Economics and Institutions of Transport", May 25th -27th, 1998, at the Centre for Transportation and Society (CTS), in Borl~uge, Sweden (Tegn6r et.al, 1998)
Tegner, G., & Loncar-Lucassi, V., & Nilson, C., & Holmberg, I. (1998). Public transport demand analysis: a non-linear time-series model for Stockholm region. Paper from The Association for European Transport Conference held in 1 January 1998.