@article {20,
	title = {A Transit Technology Selection Model},
	journal = {Journal of Public Transportation},
	volume = {17},
	year = {2014},
	pages = {50-75},
	abstract = {<p>This paper presents an easy-to-use model to assist in technology selection for transit planning. The model computes annual costs for two technologies\&mdash;currently BRT and LRT\&mdash;for a system with characteristics specified by the user and from \&ldquo;real-world\&rdquo; operating data. The model computes the annualized capital and operating costs over a wide range of demand; it also calculates location-specific, energy-related emissions for both technologies\&rsquo; operations. Most importantly, the model allows the user to test the sensitivity of the technology selection result to nearly all inputs. The model is applied to a recent case in Waterloo, Ontario, Canada, to verify its functionality. The results show that, economically, these two technologies result in very similar annual costs for \&ldquo;normal\&rdquo; demand levels. As a result, small changes in assumed input values for period of evaluation, interest rates, labor costs, and infrastructure costs can result in a change in recommended technology.\&nbsp;</p>
},
	doi = {http://dx.doi.org/10.5038/2375-0901.17.4.4},
	url = {http://scholarcommons.usf.edu/jpt/vol17/iss4/5/},
	author = {Casello, Jeffrey M. and Lewis, Geoffrey and Santiago-Rodr{\'\i}guez, Deborah and Yeung, Kevin}
}
