A taxi customer-search model: the cell-based logit-opportunity approach

Abstract

This paper proposes a cell-based model to predict local customer-search movements of vacant taxi drivers which incorporates the modeling principles of the logit and the intervening opportunity models. The local customer-search movements were extracted from the global positioning system data of 460 Hong Kong urban taxis and input into a cell-based taxi operating network to calibrate the model and validate the modeling concepts. The model can be used to simulate the taxi operation.