published journal article
The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey
Research in Transportation Economics
Publication Date
October 1, 2015
Area of Expertise: Unspecified
conference paper
Response of light-duty vehicle travel and fuel consumption to fuel costs
Proceedings of the kuhmo-nectar conference on transport economics, valencia, spain
Publication Date
July 1, 2020
Author(s)
Suggested Citation
D. Brownstone and Kent Hymel (2020) “Response of light-duty vehicle travel and fuel consumption to fuel costs”, in Proceedings of the kuhmo-nectar conference on transport economics, valencia, spain. published journal article
Stable local dynamics for day-to-day departure time choice
Transportation Research Part B: Methodological
Publication Date
July 1, 2021
Author(s)
Abstract
Existing dynamical systems for day-to-day departure time choice are either unstable, or stable but assuming drivers to possess complete information and make decisions on both arrival and departure times. In this paper, we present a new dynamical system with local shifting of departure times, such that a driver only defers or advances his/her departure time to a time interval later or earlier with lower costs. We establish the asymmetrical upper bounds of the deferral and advance coefficients for the discrete model to be well-defined. We then derive the continuous version as a kinematic wave model and present some examples of symmetrical deferral and advance coefficients. We demonstrate that the stationary state of the dynamical system is the same as the user equilibrium, and the user equilibrium is proved with Lyapunov’s second method to be stable for the symmetrical deferral and advance coefficients. With numerical examples, we verify the analytical results and examine the model’s sensitivity to different factors with different combinations of heuristic asymmetrical coefficients and theoretically stable symmetrical coefficients. Both analytical and numerical results confirm that the new dynamical system is asymptotically stable in a stability region. This study provides some guidelines on how to derive new day-to-day dynamical system models of departure time user equilibrium. Such a dynamical system can potentially be applied to solve the general dynamic traffic assignment problem in the future.
Suggested Citation
Wen-Long Jin (2021) “Stable local dynamics for day-to-day departure time choice”, Transportation Research Part B: Methodological, 149, pp. 463–479. Available at: 10.1016/j.trb.2021.05.013. MS Thesis
Investigation and implementation of a gradient projection algorithm for the traffic assignment problem
Publication Date
January 1, 1994
Author(s)
Suggested Citation
Subodh Sudhir. Rajadhyaksha (1994) Investigation and implementation of a gradient projection algorithm for the traffic assignment problem. MS Thesis. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991034343319704701. published journal article
Reduction of assaultive behavior following anger treatment of forensic hospital patients with intellectual disabilities
Behaviour Research and Therapy
Publication Date
February 1, 2015
Author(s)
Raymond Novaco, John L. Taylor
Suggested Citation
Raymond W. Novaco and John L. Taylor (2015) “Reduction of assaultive behavior following anger treatment of forensic hospital patients with intellectual disabilities”, Behaviour Research and Therapy, 65, pp. 52–59. Available at: 10.1016/j.brat.2014.12.001. published journal article
Optimal energy taxation in cities
Journal of the Association of Environmental and Resource Economists
Publication Date
April 1, 2018
Author(s)
Rainald Borck, Jan Brueckner
Abstract
This paper presents the first investigation of the effects of optimal energy taxation in an urban spatial setting, where emissions are produced both by residences and commuting. When levying an optimal direct tax on energy or carbon use is not feasible, the analysis shows that exactly the same adjustments in resource allocation can be generated by the combination of a land tax, a housing tax, and a commuting tax. We then analyze the effects of these taxes on urban spatial structure, showing that they reduce the extent of commuting and the level of housing consumption while increasing building heights, generating a more-compact city with a lower level of emissions per capita.
Suggested Citation
Rainald Borck and Jan K. Brueckner (2018) “Optimal energy taxation in cities”, Journal of the Association of Environmental and Resource Economists, 5(2), pp. 481–516. Available at: 10.1086/695614. published journal article
Inspecting regional economic structural changes through linking occupations and industries
Environment & planning A
Publication Date
January 1, 2013
Author(s)
Jun Wan, Jae Hong Kim, Geoffrey J D Hewings
Suggested Citation
Jun Wan, Jae Hong Kim and Geoffrey J D Hewings (2013) “Inspecting regional economic structural changes through linking occupations and industries”, Environment & planning A, 45(3), pp. 614–633. Available at: 10.1068/a44353. published journal article
Increasing the role of the private sector in commuter bus service provision (USA).
Built Environment
Publication Date
January 1, 1982
Author(s)
Abstract
Based on the analysis of case studies carried out in seven US cities, attempts to evaluate the potential for expanding the role of private provision of urban commuter bus services. Describes the type and extent of present schemes, the viability of non-subsidized schemes, the issues involved in subsidizing, and finally, assesses the problems and potential of private provision.-R.Land
Suggested Citation
Roger Teal and G. Giuliano (1982) “Increasing the role of the private sector in commuter bus service provision (USA).”, Built Environment, 8, pp. 172–183. published journal article
An Approach to Assessing Freeway Lane Management Hot Spots
Transportation Research Record: Journal of the Transportation Research Board
Publication Date
January 1, 2009
Author(s)
Abstract
This research presents a procedure for capitalizing on the trade-off between urban freeway managed lanes and general purpose lanes that compete for limited road space. The basic goal of the procedure is to provide policy guidance for sharing any excess lane capacity on a timely and efficient basis. Potential operating policy options for these two types of lanes are categorized as “do nothing,” “lane management,” and “more than lane management.” The “lane management” condition recognizes the extent and duration of a “hot spot” as defined by underutilized managed lanes with congested general purpose lanes, or vice versa. Four major and three minor lane management hot spots are deterministically and stochastically captured along a 24-mi freeway stretch in California. The major hot spots account for 8.3% of the total time–space set. The approach, which can also be applied to predict upcoming hot spots, generates satisfying accuracy. Finally, strategies are proposed to prevent the hot spots, and the effects of lane management are estimated. The application of this approach is useful especially for managed lanes with limited access points that prohibit arbitrary lane changing.
Suggested Citation
Chih-Lin Chung and Wilfred W. Recker (2009) “An Approach to Assessing Freeway Lane Management Hot Spots”, Transportation Research Record: Journal of the Transportation Research Board, 2099(1), pp. 141–150. Available at: 10.3141/2099-16. conference paper
Using gradient boosting machines to predict bikesharing station states
Proceedings of the 93rd annual meeting of the transportation research board
Publication Date
January 1, 2014
Author(s)
Abstract
Bikesharing is a sustainable and environmentally friendly transportation mode that offers bikes â??on-demandâ?? to help improve daily urban mobility. However, their operation suffers from the effects of the fluctuating demand in space and time that leads to severe system inefficienciesâ??having either empty or full stations for long periods of time. To resolve the inefficiencies, bikesharing operators are forced to reposition bikes dynamically to avoid the system from collapsing. The knowledge of future demand patterns can aid in repositioning tasks, reducing relocation costs and increasing system performance. In this paper the authors use data from the Hubway Bikesharing systemâ??to which they add weather characteristicsâ??and implement Gradient Boosting Machines (GBM) to make station level forecasts at 20, 40 and 60 minutes. The authors demonstrate the advantages of GBM compared to Neural Networks (NN) and Linear Regression (LR), namely: reduced data cleaning and preparation times, insensitivity towards irrelevant explanatory variables and better prediction accuracies. A total of 18 models for the 61 stations are run and errors and optimal calibration parameters are obtained. For calibration purposes a differential evolution algorithm is implemented. The system root mean squared error (RMSE) normalized by the station capacity obtained without calibrating the GBM model is lower than all other models for all time windows. When compared to the equivalent NN, it is 1.33, 8.7 and 13.27 % better for the 20, 40 and 60 minutes predictions, respectively.