Download or read book Incorporating Telecommuting Into an Urban Travel Demand Model written by Shirley Chan and published by . This book was released on 1998 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Telecommuting written by Adriana Bernardino and published by Routledge. This book was released on 2017-06-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Telecommuting has been regarded as a powerful tool to reduce traffic congestion, pollution and energy consumption. It also supposed to improve lifestyle quality and job satisfaction by providing employees with flexible schedules with which to address their work load and personal requirements whilst also enhancing recruitment capability and productivity and significantly reducing costs. Nevertheless, a strong resistance to the adoption of telecommuting still persists. In this book, first published in 1996, state of the art demand modelling techniques are used to delve into critical issues raised by the question of telecommuting. The benefits and costs of telecommuting are investigated in an effort to provide concrete evidence to inform the private sector’s adoption decision process and the public sector’s policy design. This title will be of interest to students of business studies and human resource management.

Download or read book The Impact of Telecommunications Technology Including Telework and Telecommuting on Travel Demand and Travel Demand Management in the Next Decade written by E. M. Risse and published by . This book was released on 1993 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Transportation Implications of Telecommuting written by United States. Department of Transportation and published by . This book was released on 1993 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the nature of telecommuting and estimates its near-term future prospects and its implication for transportation and related areas. Gives projection of the growth of telecommunting to the year 2002.

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 Innovations in Transportation written by Konstadinos G. Goulias and published by . This book was released on 1991 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Telecommunications transportation energy Interaction written by Mark Sullivan and published by . This book was released on 1993 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The substitution of transportation by telecommunications has long been advocated as an approach that might eventually alleviate the demand placed on transportation facilities and thereby reduce fuel consumption and air pollutant emissions. With increasing penetration of telecommunications in individual homes and businesses, coupled with the widespread availability of computing equipment, facsimile capabilities and the like, there is renewed interest in exploring and encouraging telecommuting arrangements. These include work-at-home schemes and workplace decentralization with satellite work centers, as well as many other nontraditional approaches to structuring workplace activities and worker responsibilities. The aim of this project is to address the travel behavior implications of telecommuting, and determine the potential of telecommuting to improve urban mobility and reduce fuel consumption. The following objectives will be addressed: 1) prepare a synthesis of existing experience with telecommuting from the standpoint of travel behavior and fuel consumption; 2) characterize telecommunications-tripmaking-energy interactions at the individual and household levels, focusing on travel behavior within a dynamic activity-based framework; 3) develop a predictive approach to assess the energy consumption consequences of telecommmuting; and 4) develop recommendations for possible implementation strategies and for future travel and energy demand forecasting.

Download or read book Urban Travel Demand written by Thomas A. Domencich and published by . This book was released on 1975 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Charles River Associates research study.

Download or read book Potential of Telecommuting for Travel Demand Management written by and published by . This book was released on 1996 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the use of telecommuting on a national and state level. It reviews the issues commonly associated with telecommuting and the approaches employed to address these. The potential benefits of telecommuting for employers, employees, and the transportation system are outlined. Telecommuting programs in Houstin, Dallas and Austin are summarized. Preliminary sketch planning tools are presented for assessing the potential for telecommuting in major Texas cities and for analyzing the impacts on the transportation system. The case studies and work activities for the second phase of the study are also presented.

Download or read book Transportation Planning Handbook written by ITE (Institute of Transportation Engineers) and published by John Wiley & Sons. This book was released on 2016-08-01 with total page 1204 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multi-disciplinary approach to transportation planning fundamentals The Transportation Planning Handbook is a comprehensive, practice-oriented reference that presents the fundamental concepts of transportation planning alongside proven techniques. This new fourth edition is more strongly focused on serving the needs of all users, the role of safety in the planning process, and transportation planning in the context of societal concerns, including the development of more sustainable transportation solutions. The content structure has been redesigned with a new format that promotes a more functionally driven multimodal approach to planning, design, and implementation, including guidance toward the latest tools and technology. The material has been updated to reflect the latest changes to major transportation resources such as the HCM, MUTCD, HSM, and more, including the most current ADA accessibility regulations. Transportation planning has historically followed the rational planning model of defining objectives, identifying problems, generating and evaluating alternatives, and developing plans. Planners are increasingly expected to adopt a more multi-disciplinary approach, especially in light of the rising importance of sustainability and environmental concerns. This book presents the fundamentals of transportation planning in a multidisciplinary context, giving readers a practical reference for day-to-day answers. Serve the needs of all users Incorporate safety into the planning process Examine the latest transportation planning software packages Get up to date on the latest standards, recommendations, and codes Developed by The Institute of Transportation Engineers, this book is the culmination of over seventy years of transportation planning solutions, fully updated to reflect the needs of a changing society. For a comprehensive guide with practical answers, The Transportation Planning Handbook is an essential reference.

Download or read book Incorporating Residential Choice Into Travel Behavior land Use Interaction Research written by Michael Norman Bagley and published by . This book was released on 1999 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Characteristics of Urban Travel Demand written by Arlee T. Reno and published by Transportation Research Board. This book was released on 2002 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction -- Survey characteristics -- Demographic information -- Overall trip rates -- Modal trip rates -- Trip purpose -- Time -- Truck trip information -- Utilization -- Other information.

Download or read book Handbook of Transport Geography and Spatial Systems written by David A. Hensher and published by Elsevier. This book was released on 2004-08-24 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this volume is the dynamic interactions between transport and the physical, economic, and human geographies it weaves through. The reader is introduced to the new spatial system technologies that are bringing geography and transport management and analysis together.

Download or read book Choice Modelling written by Stephane Hess and published by Emerald Group Publishing. This book was released on 2010-01-15 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains a selection of the best theoretical and applied papers from the inaugural International Choice Modelling Conference. The conference was organised by the Institute for Transport Studies at the University of Leeds and held in Harrogate, North Yorkshire on 30 March to 1 April 2009.

Download or read book Our built and natural environments written by and published by DIANE Publishing. This book was released on 2001 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Guidance on the Use of Market Mechanisms to Reduce Transportation Emissions written by and published by . This book was released on 1997 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: