<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TRB Publications Index</title><link>http://pubsindex.trb.org/</link><atom:link href="http://pubsindex.trb.org/common/TRIS Suite/feeds/rss.aspx?tc=NN%3ACfady" rel="self" type="application/rss+xml" /><description></description><language>en-us</language><copyright>Copyright © 2015. National Academy of Sciences. All rights reserved.</copyright><docs>http://blogs.law.harvard.edu/tech/rss</docs><managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor><webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster><image><title>TRB Publications Index</title><url>http://pubsindex.trb.org/Images/PageHeader-wTitle.png</url><link>http://pubsindex.trb.org/</link></image><item><title>Bridging the Gap: A National Study Analyzing the Process of Toll Road Governance, Finance and Revenue Allocation</title><link>http://pubsindex.trb.org/view/1759317</link><description><![CDATA[Despite strong interest in toll finance, the process of decision making and revenue allocation is not well understood. This study examined toll road data over 10 years, to understand how revenue was spent, and whether there were differences by governance structure. A representative sample of 60 toll roads across 20 US states was catalogued, selected based on their governance structure, centerline miles, and rate of toll increase since 2007. Archival sources were examined to identify whether/how much tolls had increased/decreased, and the question of how governance methods affected spending outcomes was addressed through interviews with staff and elected officials from four toll road authorities. The study found strong incentives toward profit in private and public–private partnership roads, but weak incentives to encourage transparency. The study identified barriers to using revenue toward expenditures intended to soften the impact of toll increases on low-income populations. This was because of debt covenants and incentives to distribute money toward new projects within an agency’s outer boundaries, thus failing to address the equity concerns that hamper public confidence in tolls as a revenue source. Nesting a toll road within a multimodal transportation authority could mitigate this, providing incentives to subsidize public transit, and taxing powers that make debt less necessary—an institutional design which could mitigate equity concerns that have hampered public acceptance of tolls as a revenue source.]]></description><pubDate>Thu, 04 Feb 2021 10:57:28 GMT</pubDate><guid>http://pubsindex.trb.org/view/1759317</guid></item><item><title>Modeling and Managing the Parking Sharing Problem for Urban Cities</title><link>http://pubsindex.trb.org/view/1573285</link><description><![CDATA[This study models the parking sharing problem in urban cities, where private parking owners can share their vacant spaces to parking users via an e-platform, and then examines the platform operator’s pricing strategies for revenue-maximization or social-cost-minimization. The model takes into account the spatial dimension of parking that both public curbside spaces and private ones potentially available for sharing are distributed along the travel corridor between the city center and the residential area. On the supply side, private parking owners can rent or “sell the right-of use” of their spaces to the platform based on the rent they can receive and the inconvenience they would suffer by sharing. On the demand side, travelers make their parking choices of space type (curbside or shared) and location (distance from the city center) under given parking capacities and prices. The resulting parking choice equilibrium is formulated as a minimization problem and the underlying properties of the equilibrium are identified and discussed. Based on the supply-demand equilibrium, the pricing strategies (rent paid to space owners and price charged on space users) of the platform operator are investigated. Numerical examples are presented to illustrate the models and results, and also to provide further insights.]]></description><pubDate>Fri, 01 Mar 2019 15:51:30 GMT</pubDate><guid>http://pubsindex.trb.org/view/1573285</guid></item><item><title>Multi-Stage Pricing and Seat Allocation Model for High-Speed Rail with Multi-Train Services</title><link>http://pubsindex.trb.org/view/1572322</link><description><![CDATA[This paper deals with the multi-stage determination of price and seat allocation within the booking horizon for the high-speed rail (HSR) revenue management (RM) problem with multi-train services. The authors use an elastic demand functions to describe the relationship between passenger demand and weighted average price for each origin and destination (O-D) in each decision period, and then they propose a multi-stage pricing and seat allocation model with a nonlinear mathematical programming formulation. Since the objective function is nonlinear and non-differentiable, the authors convert it into the differentiable formulation first. Then, they transform the model into an unconstrained programming by adding nonlinear constraints into the objective with a penalty function. Based on the Davidon-Fletcher-Powell (DFP) algorithm framework, the authors design a solution approach. Compared with Matlab optimization toolbox for nonlinear programming, the authors' solution approach can obtain similar solutions with far less central processing unit (CPU) time cost under different scenarios. Numerical experiments show that the proposed model and algorithm can be used to solve the RM problem for all trains within a high-speed rail line in the real world.]]></description><pubDate>Fri, 01 Mar 2019 15:50:53 GMT</pubDate><guid>http://pubsindex.trb.org/view/1572322</guid></item><item><title>Optimal Operation Planning Model for High-Speed Rail Transportation</title><link>http://pubsindex.trb.org/view/1438450</link><description><![CDATA[The rail operation planning chosen by the carriers has an important impact on the high-speed railway yield and thus on global profitability. The all stop pattern will meet all the demands, but this pattern is time and cost consuming, and will lead to those time sensitive passengers switching to another transportation model. How to plan the train’s operation for maximizing the revenue as well as meeting the requirements of passengers is one of the key points for railway operators. This paper develops an integrated model to maximize the operator’s revenue and minimize the passenger’s general cost. The model is applied to optimize the rail train frequencies and stop-schedules dynamically. Not only the rail operator’s profit but also the passenger’s behavior is considered. A numerical example is provided to demonstrate the effectiveness of the proposed model. Results show that the proposed model can efficiently optimize dynamic operation planning and revenue management for the high-speed railway system, which significantly increases the total revenue for rail operators.]]></description><pubDate>Sat, 01 Apr 2017 22:45:57 GMT</pubDate><guid>http://pubsindex.trb.org/view/1438450</guid></item><item><title>Dynamic Pricing for Reservation-Based Parking System: A Revenue Management Method</title><link>http://pubsindex.trb.org/view/1438300</link><description><![CDATA[With the advent of the Internet era as well as the improvement of urban smart level, parking reservation has become one of the most effective ways to solve parking problems. This paper proposes a dynamic pricing model allowing travelers reserving parking spaces through their personal smart equipment in advance. The parking system is operated by a private owner and her/his objective is to maximize the expected revenue. The revenue management method is adopted in setting the dynamic pricing policy of the reservation-based parking problem when trip demand is price sensitive and stochastic. Numerical experiments suggest that the authors' optimal policy could save much cruising cost relative to traditional fixed price, which results in significant reduction in adverse socioeconomic externalities such as traffic jams and environmental pollution.]]></description><pubDate>Thu, 09 Mar 2017 09:14:47 GMT</pubDate><guid>http://pubsindex.trb.org/view/1438300</guid></item><item><title>Dynamic Model of Airlines Revenue Management Considering the Risks Involved in Allowing Batch Booking</title><link>http://pubsindex.trb.org/view/1393129</link><description><![CDATA[Revenue management is a collection of methods and techniques with the objective in maximizing the revenue of selling perishable products. Since a plane ticket loses its value after departure, it is assumed as a perishable product. Dynamic models, provide an optimal sales policy with the objective in maximizing the revenue by considering demand forecasting. Due to the uncertainty inherent in demand forecasting, there’s always a risk embedded in revenue management techniques. In this article, a dynamic model is introduced various risk levels are defined and allows the decision-makers to choose the risk level. In order to define this risk levels, this study applies vector forms the arrays of their components are related to the risk-aversion in fare classes where each component is related to risk aversion of one fare class. Based on the results obtained from the carried-out computer simulation, the values for the Sharp ratio, is computed for different risk levels and the optimal risk level is determined. In order to prove the superiority of this proposed model, the obtained results are compared with those of considering the risk level as a compromise factor for the whole model.]]></description><pubDate>Mon, 08 Feb 2016 10:36:07 GMT</pubDate><guid>http://pubsindex.trb.org/view/1393129</guid></item><item><title>Railroads: Freight and Passenger Systems, Volume 1</title><link>http://pubsindex.trb.org/view/1376586</link><description><![CDATA[This issue contains 12 papers concerned with freight and passenger system aspects of railroads.  Specific topics addressed include:  global high-speed rail experience; high-speed rail lines and market competition; high-speed rail and urban decentralization; the financial relationship between railway industry players in shared railway systems; high-speed rail revenue management; and life-cycle cost, system reliability, and service reliability in passenger rail system design.  Additional topics include energy efficiency of passenger rail systems; passenger train capacity and level of service; sequencing and scheduling in railway classification yards; online rail freight exchange; optimization of shunting yard operations; and capacity issues of single-track railway lines with short sidings.]]></description><pubDate>Wed, 02 Dec 2015 14:59:22 GMT</pubDate><guid>http://pubsindex.trb.org/view/1376586</guid></item><item><title>Cruise Line Revenue Management at Walt Disney World</title><link>http://pubsindex.trb.org/view/1242976</link><description><![CDATA[Cruise line revenue management at Walt Disney World concerns pricing and assignment of cruise capacity. In this problem, the market demand is differentiated according to such criteria as view requirements, bedding requirements, room locations and amenities. The essence is to allocate cruise room capacity among the demand of categories in order to maximize the revenue potential. There are side constraints, which include the capacity limit of lifeboats and on the number of baby counselors as required by law, as well as business rules such as prevention of revenue dilution. The model we develop in this paper also considers potential onboard expenses of customers. A numerical test is conducted based on production data. The result indicates that the solution obtained through our model is valid in practice and shows significant annual revenue increase compared with existing practice.]]></description><pubDate>Tue, 19 Feb 2013 08:47:47 GMT</pubDate><guid>http://pubsindex.trb.org/view/1242976</guid></item><item><title>International Practices in Public-Private Partnerships: Synthesis and Discussion</title><link>http://pubsindex.trb.org/view/1107398</link><description><![CDATA[The experience of international counterparts with public-private partnerships offers lessons and practices that may be applicable to the U.S. market.  In this article the author reviews arrangements in Europe and Australia and suggests pointers on project identification and selection; market preparation; revenue transfer, tolls, and direct payments; procurement and contract management; and more.]]></description><pubDate>Wed, 20 Jul 2011 11:36:50 GMT</pubDate><guid>http://pubsindex.trb.org/view/1107398</guid></item><item><title>Sustainable Urban Transport: Smart Technology Initiatives in Singapore</title><link>http://pubsindex.trb.org/view/1091527</link><description><![CDATA[Achieving sustainability is a major goal of many urban transport systems. To attain an efficient, safe, and sustainable transport system, many innovative policies have been attempted in the past. Those policies often require smart technologies to assist in the implementation process and to enhance effectiveness. This paper discusses how sustainability can be promoted by embedding smart technologies in a modern transport system. In particular, this paper studies the transport system of Singapore to see how it is addressing sustainability through the use of smart technologies. Various technological initiatives in managing traffic flow, monitoring and enforcement, sharing real-time information, and managing revenues are discussed in light of their potential to address sustainability issues. The Singapore experience provides a useful reference for cities that intend to develop and promote a sustainable transport system.]]></description><pubDate>Mon, 18 Apr 2011 12:24:42 GMT</pubDate><guid>http://pubsindex.trb.org/view/1091527</guid></item><item><title>Modeling Joint Choice of Airline Itinerary and Fare Product: Implications for Airline Pricing Strategies</title><link>http://pubsindex.trb.org/view/802392</link><description><![CDATA[The rapid expansion of low-cost airlines and the development of online distribution of airline tickets have put pressure on the pricing and revenue management strategy of network airlines and have substantially modified the airline passenger choice environment, especially in short-haul markets. To analyze the choice behavior of airline passengers, a unique data set is being developed. Passenger booking data are combined with fare class availability data collected daily for a 90-day booking period, and fare rules are applied to reconstruct the passenger choice set and determine which fare products were available at the time of the booking on nonstop itineraries in select business-oriented European short-haul markets. Estimation results from a multinomial logit model of the joint choice of airline itinerary and fare product show that outbound passengers tend to prefer early morning and late afternoon flight departures that allow them to conduct their business activities either before or after their trips. In addition, a significant proportion of passengers traveling during the week tends to prefer higher-priced fully flexible fare products to cheaper nonflexible options; this preference shows the revenue potential of a multiproduct pricing strategy in markets affected by the presence of low-cost competition. This study illustrates how such models may be used to support airline decision making in scheduling, pricing, and revenue management.]]></description><pubDate>Mon, 12 Mar 2007 08:09:44 GMT</pubDate><guid>http://pubsindex.trb.org/view/802392</guid></item></channel></rss>