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Transportation, Energy, And The Environment
Published in Dušan Teodorović, The Routledge Handbook of Transportation, 2015
Transportation Demand Management (TDM) is “a general term for strategies that result in a more efficient use of transportation resources” (Victoria Transportation Policy Institute, 2014). TDM strategies aim to affect travel behavior, reduce VMT and, as a result, reduce vehicle energy consumption and emissions. TDM strategies include traffic calming and speed reduction strategies, ridesharing (carpooling, vanpooling) and high-occupancy vehicle (HOV) lanes, congestion and other road pricing strategies (such as toll roads and VMT fees), parking management and pricing, transit improvements and other transit incentives, and telework or flexible work schedules (Black, 2010; Federal Highway Administration, 2012; Victoria Transportation Policy Institute, 2014).
Sensor applications to ITS
Published in Lawrence A. Klein, ITS Sensors and Architectures for Traffic Management and Connected Vehicles, 2017
ATDM consists of a series of strategies that can be grouped into three main categories: active demand management (ADM), active traffic management (ATM), and active parking management (APM) [30]. ADM focuses on travelers creating more fluid decisions, especially at the mode, destination, and route levels. Moving beyond traditional transportation demand management (TDM) approaches of carpooling and ride matching, new strategies such as congestion pricing, financial incentives, advanced traveler information, dynamic ridesharing, and on-demand transit are used to increase the day-to-day choices available to the travelers.
Operations
Published in Connie Kelly Tang, Lei Zhang, Principles and Practices of Transportation Planning and Engineering, 2021
Transportation demand management (TDM) is the application of methods, strategies, policies, regulations, and laws to increase people’s mobility choices to reduce vehicle trips or redistribute trips to alternative periods throughout a day. The ultimate goal of TDM is to reduce congestion.
Innovations impacting the future of transportation: an overview of connected, automated, shared, and electric technologies
Published in Transportation Letters, 2023
Kai Huang, Kara Kockelman, Krishna Murthy Gurumurthy
To reduce traffic jams in urban areas, congestion pricing has been previously proposed as an effective transportation demand management (TDM) tool. Collecting tolls can reduce the enthusiasm of private car utilization at peak hours or in congested areas. Three main categories of toll implementation were seen in previous studies: area-based, cordon-based and distance-based strategies (Cheng et al. 2017; Gurumurthy, Kockelman, and Simoni 2019; Simoni et al. 2019). Under the three main categories, more improved toll strategies are proposed, such as time-varying congestion pricing and credit-based congestion pricing (Kockelman and Kalmanje 2005). Credit-based congestion pricing (CBCP) is an innovative method in which drivers can exchange travel credit allowances for cash. Such a method can affect travelers’ day-to-day mode choices.
Segmenting the target audience for transportation demand management programs: An investigation between mode shift and individual characteristics
Published in International Journal of Sustainable Transportation, 2023
Meiyu (Melrose) Pan, Alyssa Ryan
Transportation demand management (TDM) programs aim to help people know about and use all their mobility options such as transit, carpooling, walking, and biking. TDM programs have historically targeted commuter trips and employers (Cooper, 2007). More recently, TDM programs at the household level and for all types of trips are being approached through the lens of social and individualized marketing, not only for employers, but for state and regional agencies, primary schools, universities, communities, and special events (Dill et al., 2010). Aided by advancements in smartphone technology, some transportation agencies have begun to develop apps to provide incentives to trigger individual travel behavior change, such as a mode shift (T. Li et al., 2021). Identifying the target audience prior to rolling out a program can help reduce the cost of the program, including program development, delivery, and/or marketing, given the larger size of the prospective audience party originally needed, prior to target audience identification. Furthermore, it would be challenging to create effective individualized marketing campaigns without a solid understanding of the target audience’s characteristics.
How to evaluate the extent of mobility strategies in a university campus: An integrated analysis of impacts
Published in International Journal of Sustainable Transportation, 2020
P. Fernandes, C. Sousa, J. Macedo, M.C. Coelho
Despite universities are significant generators of pollutant emissions, they can encourage a comprehensive set of policies for more sustainable transportation. In this context, a good deal of research looks at Transportation Demand Management (TDM) as an effective way to solve the imbalance of transportation demand in university campuses as well as to fight against private car dependence (Akar, Flynn, & Namgung, 2012; Appleyard et al., 2017). TDM seeks to change individual travel behavior which can be determined by structural (e.g., distance, time, cost, road characteristics, public transport services) and individual (e.g., trip purpose, work schedule, time constraints) variables, environmental or social concerns and demographic conditions (Miralles-Guasch & Domene, 2010).