Export 13 results:
Filters: Author is Gonzales, Eric J. [Clear All Filters]
On the allocation of city space to multiple transport modes. Transportation Planning and Technology. 33(8):643-656.. 2010.
Comparison of mode cost by time of day for nondriving airport trips to and from New York City’s Pennsylvania Station. Transportation Research Record: Journal of the Transportation Research Board. (2449):34-44.. 2014.
Coordinated pricing for cars and transit in cities with hypercongestion. Economics of Transportation. 4(1-2: Special Issue on Collective Contributions in the Honor of Richard Arnott):64-81.. 2015.
Costs and benefits of a road diet conversion. Costs and Benefits of a Road Diet Conversion. 3(4):449–458.. 2015.
Demand responsive transit systems with time dependent demand: user equilibrium, system optimum, and management strategy. Transportation Research Part B.. 2015.
Empirical assessment of bottleneck congestion with a constant and peak toll: San Francisco–Oakland Bay bridge. EURO Journal on Transport and Logistics. 3(3):267–288.. 2014.
The evening commute with cars and transit: duality results and user equilibrium for the combined morning and evening peaks. Procedia - Social and Behavioral Sciences. 80:249-265.. 2013.
The generators of paratransit trips by persons with disabilities. Transportation Research Part A: Policy and Practice. 70:181-193.. 2014.
Macroscopic relations of urban traffic variables: bifurcations, multivaluedness, and instability. Transportation Research Part B: Methodological. 45(1):278-288.. 2011.
Modeling taxi demand and supply in New York City Using Large-Scale Taxi GPS Data. Seeing Cities Through Big Data. Part V:405-425.. 2016.
Modeling taxi trip demand by time of day in New York City. Transportation Research Record: Journal of the Transportation Research Board. Travel Demand Forecasting 2014, Volume 1:110-120.. 2014.
Morning commute with competing modes and distributed demand: User equilibrium, system optimum, and pricing. Transportation Research Part B. 46(10):1519–1534.. 2012.
The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions. EURO Journal on Transportation and Logistics. 1(1):47-65.. 2012.