Open AccessTravel demand (modal split) estimation by hierarchical measurement
Author(s) -
BanaiKashani Alireza
Publication year - 1984
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1002/atr.5670180105
Subject(s) - modal , hierarchy , trip distribution , analytic hierarchy process , mode (computer interface) , estimation , computer science , trip generation , demand forecasting , set (abstract data type) , travel behavior , operations research , transport engineering , mathematics , engineering , economics , market economy , chemistry , systems engineering , trips architecture , polymer chemistry , programming language , operating system
This paper develops a procedure for travel demand estimation via the Saaty method of Analytic Hierarchy. A stratification of the travel demand by trip‐making and trip attributes has been represented more inclusively in a hierarchy system. Various elements and dimensions of the hierarchy have been hypothesized as different levels of decisions made by trip‐makers. The elements contained in a set of specified matrices of travel attributes have been weighed utilizing a ratio scale, in a process of mapping transportation systems (modal) attributes with the characteristic trip‐making behavior in a hierarchical demand structure. The principal output of this procedure is an estimate of the trip distribution by mode, or modal split. The estimate closely approximates the observed modal split pattern for the inter city travel problem simulated. This procedure is proposed for travel demand forecasting and planning.