Schmöcker, J.D., Su, F. & Noland, R.B. 2010, “An Analysis of Trip Chaining among Older London Residents,” Transportation, vol. 37, no. 1, pp. 105-123. Abstract This paper examines the trip chaining complexity of individuals in London. We adopt two definitions of trip chaining. One based on a 30 min dwell time rule and a second […]
Karathodorou, N., Graham, D.J. & R.B. Noland. 2010, “Estimating the Effect of Urban Density on Fuel Demand,” Energy Economics, vol. 32, no. 1, pp. 86-92. Abstract Much of the empirical literature on fuel demand presents estimates derived from national data which do not permit any explicit consideration of the spatial structure of the economy. Intuitively […]
Ishaque, M.M. & Noland, R.B. 2009, “Pedestrian and Vehicle Flow Calibration in Multimodal Traffic Microsimulation,” Journal of Transportation Engineering, vol. 135, pp. 338-348. Abstract This paper provides a method for including pedestrians in a vehicle microsimulation model, specifically the VISSIM model. VISSIM provides a default mechanism for simulating pedestrian movements; however, this does not adequately […]
Crôtte, A., Noland, R.B.& Graham, D.J. 2009, “Estimation of Road Traffic Demand Elasticities for Mexico City, Mexico,” Transportation Research Record: Journal of the Transportation Research Board, vol. 2134, pp. 99-105. Abstract A study was done to estimate price, income, vehicle stock, metro fares, and fuel-efficiency elasticities of the demand for road traffic in Mexico City, […]
Crôtte, A., Noland, R.B. & Graham, D.J. 2009, “Is the Mexico City Metro an Inferior Good?” Transport Policy, vol. 16, no. 1, pp. 40-45. Abstract Time series cointegration techniques are used to estimate whether the Mexico City metro is perceived as a normal or inferior good. Owing to the fact that the Mexico City metro […]
Jiwattanakulpaisarn, P., Noland, R.B., Graham, D.J. & Polak, J.W. 2009, “Highway Infrastructure Investment and County Employment Growth: A Dynamic Panel Regression Analysis,” Journal of Regional Science, vol. 49, no. 2, pp. 263-286 Abstract This paper uses recent advances in dynamic panel econometrics to examine the impact of highway infrastructure on aggregate county-level employment using data […]
