Download or read book Travel Demand Model System for the Information Era written by Moshe E. Ben-Akiva and published by . This book was released on 1996 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Equilibrium and Advanced Transportation Modelling written by P. Marcotte and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each chapter in Equilibrium and Advanced Transportation Modelling develops a topic from basic concepts to the state-of-the-art, and beyond. All chapters relate to aspects of network equilibrium. Chapter One advocates the use of simulation models for the representation of traffic flow movements at the microscopic level. Chapter Two presents travel demand systems for generating trip matrices from activity-based models, taking into account the entire daily schedule of network users. Chapter Three examines equilibrium strategic choices adopted by the passengers of a congested transit system, carefully addressing line selection at boarding and transfer nodes. Chapter Four provides a critical appraisal of the traditional process that consists in sequentially performing the tasks of trip generation, trip distribution, mode split and assignment, and its impact on the practice of transportation planning. Chapter Five gives an insightful overview of stochastic assignment models, both in the static and dynamic cases. Chapters Six and Seven investigate the setting of tolls to improve traffic flow conditions in a congested transportation network. Chapter Eight provides a unifying framework for the analysis of multicriteria assignment models. In this chapter, available algorithms are summarized and an econometric perspective on the estimation of heterogeneous preferences is given. Chapter Nine surveys the use of hyperpaths in operations research and proposes a new paradigm of equilibrium in a capacitated network, with an application to transit assignment. Chapter Ten analyzes the transient states of a system moving towards equilibrium, using the mathematical framework of projected dynamical systems. Chapter Eleven discusses an in-depth survey of algorithms for solving shortest path problems, which are pervasive to any equilibrium algorithm. The chapter devotes special attention to the computation of dynamic shortest paths and to shortest hyperpaths. The final chapter considers operations research tools for reducing traffic congestion, in particular introducing an algorithm for solving a signal-setting problem formulated as a bilevel program.

Download or read book Modeling and Forecasting the Impact of Major Technological and Infrastructural Changes on Travel Demand written by Feras El Zarwi and published by . This book was released on 2017 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: The transportation system is undergoing major technological and infrastructural changes, such as the introduction of autonomous vehicles, high speed rail, carsharing, ridesharing, flying cars, drones, and other app-driven on-demand services. While the changes are imminent, the impact on travel behavior is uncertain, as is the role of policy in shaping the future. Literature shows that even under the most optimistic scenarios, society's environmental goals cannot be met by technology, operations, and energy system improvements only - behavior change is needed. Behavior change does not occur instantaneously, but is rather a gradual process that requires years and even generations to yield the desired outcomes. That is why we need to nudge and guide trends of travel behavior over time in this era of transformative mobility. We should focus on influencing long-range trends of travel behavior to be more sustainable and multimodal via effective policies and investment strategies. Hence, there is a need for developing policy analysis tools that focus on modeling the evolution of trends of travel behavior in response to upcoming transportation services and technologies. Over time, travel choices, attitudes, and social norms will result in changes in lifestyles and travel behavior. That is why understanding dynamic changes of lifestyles and behavior in this era of transformative mobility is central to modeling and influencing trends of travel behavior. Modeling behavioral dynamics and trends is key to assessing how policies and investment strategies can transform cities to provide a higher level of connectivity, attain significant reductions in congestion levels, encourage multimodality, improve economic and environmental health, and ensure equity. This dissertation focuses on addressing limitations of activity-based travel demand models in capturing and predicting trends of travel behavior. Activity-based travel demand models are the commonly-used approach by metropolitan planning agencies to predict 20-30 year forecasts. These include traffic volumes, transit ridership, biking and walking market shares that are the result of large scale transportation investments and policy decisions. Currently, travel demand models are not equipped with a framework that predicts long-range trends in travel behavior for two main reasons. First, they do not entail a mechanism that projects membership and market share of new modes of transport into the future (Uber, autonomous vehicles, carsharing services, etc). Second, they lack a dynamic framework that could enable them to model and forecast changes in lifestyles and transport modality styles. Modeling the evolution and dynamic changes of behavior, modality styles and lifestyles in response to infrastructural and technological investments is key to understanding and predicting trends of travel behavior, car ownership levels, vehicle miles traveled (VMT), and travel mode choice. Hence, we need to integrate a methodological framework into current travel demand models to better understand and predict the impact of upcoming transportation services and technologies, which will be prevalent in 20-30 years. The objectives of this dissertation are to model the dynamics of lifestyles and travel behavior through: " Developing a disaggregate, dynamic discrete choice framework that models and predicts long-range trends of travel behavior, and accounts for upcoming technological and infrastructural changes." Testing the proposed framework to assess its methodological flexibility and robustness." Empirically highlighting the value of the framework to transportation policy and practice. The proposed disaggregate, dynamic discrete choice framework in this dissertation addresses two key limitations of existing travel demand models, and in particular: (1) dynamic, disaggregate models of technology and service adoption, and (2) models that capture how lifestyles, preferences and transport modality styles evolve dynamically over time. This dissertation brings together theories and techniques from econometrics (discrete choice analysis), machine learning (hidden Markov models), statistical learning (Expectation Maximization algorithm), and the technology diffusion literature (adoption styles). Throughout this dissertation we develop, estimate, apply and test the building blocks of the proposed disaggregate, dynamic discrete choice framework. The two key developed components of the framework are defined below. First, a discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services. A disaggregate technology adoption model was developed since models of this type can: (1) be integrated with current activity-based travel demand models; and (2) account for the spatial/network effect of the new technology to understand and quantify how the size of the network, governed by the new technology, influences the adoption behavior. We build on the formulation of discrete mixture models and specifically dynamic latent class choice models, which were integrated with a network effect model. We employed a confirmatory approach to estimate our latent class choice model based on findings from the technology diffusion literature that focus on defining distinct types of adopters such as innovator/early adopters and imitators. Latent class choice models allow for heterogeneity in the utility of adoption for the various market segments i.e. innovators/early adopters, imitators and non-adopters. We make use of revealed preference (RP) time series data from a one-way carsharing system in a major city in the United States to estimate model parameters. The data entails a complete set of member enrollment for the carsharing service for a time period of 2.5 years after being launched. Consistent with the technology diffusion literature, our model identifies three latent classes whose utility of adoption have a well-defined set of preferences that are statistically significant and behaviorally consistent. The technology adoption model predicts the probability that a certain individual will adopt the service at a certain time period, and is explained by social influences, network effect, socio-demographics and level-of-service attributes. Finally, the model was calibrated and then used to forecast adoption of the carsharing system for potential investment strategy scenarios. A couple of takeaways from the adoption forecasts were: (1) highest expected increase in the monthly number of adopters arises by establishing a relationship with a major technology firm and placing a new station/pod for the carsharing system outside that technology firm; and (2) no significant difference in the expected number of monthly adopters for the downtown region will exist between having a station or on-street parking. The second component in the proposed framework entails modeling and forecasting the evolution of preferences, lifestyles and transport modality styles over time. Literature suggests that preferences, as denoted by taste parameters and consideration sets in the context of utility-maximizing behavior, may evolve over time in response to changes in demographic and situational variables, psychological, sociological and biological constructs, and available alternatives and their attributes. However, existing representations typically overlook the influence of past experiences on present preferences. This study develops, applies and tests a hidden Markov model with a discrete choice kernel to model and forecast the evolution of individual preferences and behaviors over long-range forecasting horizons. The hidden states denote different preferences, i.e. modes considered in the choice set and sensitivity to level-of-service attributes. The evolutionary path of those hidden states (preference states) is hypothesized to be a first-order Markov process such that an individual's preferences during a particular time period are dependent on their preferences during the previous time period. The framework is applied to study the evolution of travel mode preferences, or modality styles, over time, in response to a major change in the public transportation system. We use longitudinal travel diary from Santiago, Chile. The dataset consists of four one-week pseudo travel diaries collected before and after the introduction of Transantiago, which was a complete redesign of the public transportation system in the city. Our model identifies four modality styles in the population, labeled as follows: drivers, bus users, bus-metro users, and auto-metro users. The modality styles differ in terms of the travel modes that they consider and their sensitivity to level-of-service attributes (travel time, travel cost, etc.). At the population level, there are significant shifts in the distribution of individuals across modality styles before and after the change in the system, but the distribution is relatively stable in the periods after the change. In general, the proportion of drivers, auto-metro users, and bus-metro users has increased, and the proportion of bus users has decreased. At the individual level, habit formation is found to impact transition probabilities across all modality styles; individuals are more likely to stay in the same modality style over successive time periods than transition to a different modality style. Finally, a comparison between the proposed dynamic framework and comparable static frameworks reveals differences in aggregate forecasts for different policy scenarios, demonstrating the value of the proposed framework for both individual and population-level policy analysis. The aforementioned methodological frameworks comprise complex model formulation. This however comes at a cost in terms.

Download or read book Forecasting Travel in Urban America written by Konstantinos Chatzis and published by MIT Press. This book was released on 2023-07-11 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A history of urban travel demand modeling (UTDM) and its enormous influence on American life from the 1920s to the present. For better and worse, the automobile has been an integral part of the American way of life for decades. Its ascendance would have been far less spectacular, however, had engineers and planners not devised urban travel demand modeling (UTDM). This book tells the story of this irreplaceable engineering tool that has helped cities accommodate continuous rise in traffic from the 1950s on. Beginning with UTDM’s origins as a method to help plan new infrastructure, Konstantinos Chatzis follows its trajectory through new generations of models that helped make optimal use of existing capacity and examines related policy instruments, including the recent use of intelligent transportation systems. Chatzis investigates these models as evolving entities involving humans and nonhumans that were shaped through a specific production process. In surveying the various generations of UTDM, he delves into various means of production (from tabulating machines to software packages) and travel survey methods (from personal interviews to GPS tracking devices and smartphones) used to obtain critical information. He also looks at the individuals who have collectively built a distinct UTDM social world by displaying specialized knowledge, developing specific skills, and performing various tasks and functions, and by communicating, interacting, and even competing with one another. Original and refreshingly accessible, Forecasting Travel in Urban America offers the first detailed history behind the thinkers and processes that impact the lives of millions of city dwellers every day.

Download or read book Travel Demand Forecasting Parameters and Techniques written by and published by Transportation Research Board. This book was released on 2012 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB’s National Cooperative Highway Research Program (NCHRP) Report 716: Travel Demand Forecasting: Parameters and Techniques provides guidelines on travel demand forecasting procedures and their application for helping to solve common transportation problems.

Download or read book Innovations in Travel Demand Modeling Papers written by and published by Transportation Research Board. This book was released on 2008 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 31 individual authored papers from the breakout sessions are contained in Volume 2"--Pub. desc.

Download or read book Assessing the Benefits and Costs of ITS written by David Gillen and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 17 chapters in this book, which evolved from a conference on measuring the contributions of ITS sponsored by the California Department of Transportation in February 2002, examine the costs and benefits of ITS in an economic and business policy context. Section 1 examines the broad theme of how and what ITS contributes to the economy and how one makes a business case for ITS. Section 2 includes three chapters on ITS applications in mass transit. Section 3 explores ITS applications in the automobile/highway system. Section 4 considers integrative issues including how ITS is perceived and how it can be positioned to improve surface transportation. This volume will be especially useful to researchers and policy makers working in transportation, transportation engineering, and the economic analysis of transportation systems.

Download or read book Forecasting Urban Travel written by David E. Boyce and published by Edward Elgar Publishing. This book was released on 2015-02-27 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting Urban Travel presents in a non-mathematical way the evolution of methods, models and theories underpinning travel forecasts and policy analysis, from the early urban transportation studies of the 1950s to current applications throughout the

Download or read book Transportation Systems Engineering written by Ennio Cascetta and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and practitioners." Moshe Ben-Akiva, Massachusetts Institute of Technology.

Download or read book Urban and Regional Transportation Modeling written by Der-Horng Lee and published by Edward Elgar Publishing. This book was released on 2004-01-01 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'This collection in honor of David Boyce contains genuinely interesting and quality papers that reflect the diversity of interests of the honoree. David Boyce has made a number of significant contributions at the interface of transportation and regional science. He has been a pioneer of injecting rigor and consistency into spatial analysis. The papers here both reflect the ethos of this copious body of analysis and take it further in extensions and applications. It will prove to be an enduring source of ideas and insight.' - Kenneth Button, George Mason University, US

Download or read book Activity Based Disaggregate Travel Demand Model System with Daily Activity Schedules written by Moshe E. Ben-Akiva and published by . This book was released on 1996 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advanced Urban Travel Demand Forecasting written by and published by . This book was released on 1999 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This course attempts to communicate to travel modeling professionals some of the [travel demand forecasting] procedures developed by their colleagues around the U.S. and abroad, most of which have been implemented as part of an existing travel demand modeling system."--p.1-5

Download or read book Transport Models in Urban Planning Practices written by Marco te Brömmelstroet and published by Routledge. This book was released on 2016-04-08 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how transportation models can play a role in a changing transport planning and policy making context. Most models are rooted in decades of development work and are geared to offer value-free, academic and explicit knowledge to transport planning experts. However, planning practice has changed dramatically over the years, resulting in a less technical rational view on the use of such knowledge – especially so in early, strategy making phases. More and more complex policy goals, integration of a wide area of other policy domains, a wider, ever-changing and much more mixed group of planning participants and much more focus on ‘wicked problems’. The book maps how this influences the effectiveness of transport modelling exercises and explores several state-of-the-art implementations. This book was published as a special issue of Transport Reviews.

Download or read book Transportation System Modeling in the Information Era written by Karthik Charan Konduri and published by . This book was released on 2016 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Enabled by advances in technology, Real-time Information Systems (RITS) are increasingly being deployed as a solution to address the congestion issues we face today. RTIS solutions aim to provide roadway users with up to date information on travel times along roadway corridors allowing users to make informed decisions about routes, destinations, modes, and/or activity scheduling and sequencing. RTIS promises the ability to provide upto-the-minute network-wide traffic conditions to people through a variety of technological solutions including smart phones, global positioning systems, and in-vehicle technologies. The potential of RTIS for improving the efficiency of different aspects of the activity and travel choices is undisputed. However, individuals may access and use the information to different extents and in different ways, with due consideration to their unique contextual situations characterized by time-space constraints, household obligations and interactions, modal availability and accessibility, and built environment attributes. The net impact of a RTIS strategy on activity-travel patterns of individuals, and on the transportation network as a whole, is complicated to assess. Therefore, there is a need for a comprehensive model system that can be utilized to systematically assess the direct and cascading impacts of real-time services such as RTIS. The focus of this research effort was twofold, namely, 1) develop a conceptual modeling framework for the activity-travel generation problem to accurately represent the behavioral dynamics that result from information provision and usage and implement the conceptual framework using existing microsimulation models of travel demand and dynamic traffic assignment to build an integrated model prototype. In the next section an overview of the conceptual modeling framework is presented. In the following section, the prototype of the integrated model system is described. In the last section, ongoing and future research on the topic are described."--

Download or read book Activity based Travel Demand Models written by Joe Castiglione (Writer on transportation) and published by . This book was released on 2015 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB's second Strategic Highway Research Program (SHRP 2) Report S2-C46-RR-1: Activity-Based Travel Demand Models: A Primer explores ways to inform policymakers' decisions about developing and using activity-based travel demand models to better understand how people plan and schedule their daily travel. The document is composed of two parts. The first part provides an overview of activity-based model development and application. The second part discusses issues in linking activity-based models to dynamic network assignment models.

Download or read book Introduction to Urban Travel Demand Forecasting written by and published by . This book was released on 1998 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Governing Cities on the Move written by Walter Schenkel and published by Taylor & Francis. This book was released on 2018-04-27 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title was first published in 2002: The success of any investment strategy in urban infrastructures is dependent on how people as members of households, companies or institutions will use these infrastructures in their daily lives and how actors take decisions on their investment strategies. Insights into these behaviours can help public and private actors to cope with diversity, complexity and uncertainty in a dynamic urban environment. This book elaborates, both theoretically and empirically, the functional and governance/management perspective of urban infrastructures. It comprises theoretical contributions related to accessibility, land-use modelling and urban governance, while case studies from Antwerp, Geneva, Milan, Oslo, Turin and Zurich effectively analyze the problems associated with mobility, infrastructure, finance, planning, transformation and governance. It will be of considerable value to anyone with an interest in urban performance.