@article{ref1,
title="Mixed logit model of vertical transport choice in Toronto subway stations and application within pedestrian simulation",
journal="Transportation research procedia",
year="2014",
author="Srikukenthiran, Siva and Shalaby, Amer and Morrow, Erin",
volume="2",
number="",
pages="624-629",
abstract="Pedestrian choice between co-located stairs and escalators in Toronto transit stations was modelled using a set of standard binary and mixed-logit models, incorporating dynamic variables like crowding. While all models had good fit, the ascending direction and restricted-mobility individual choice were more readily predicted. Performance was measured predictive ability of ten-second aggregate flows after implementation in the pedestrian simulator MassMotion. The mixed-logit models performed consistently better than the standard models, with all showing good predictive ability (nearing 90%). There were also significant spreads of accuracy of up to 10% when the way the models were applied by simulation agents was varied.<p /><p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2014.09.104",
url="http://dx.doi.org/10.1016/j.trpro.2014.09.104"
}