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Using Public Opinion To Predict Changes In Transportation Demand During The Covid 19 Pandemic
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Book Synopsis Using Public Opinion to Predict Changes in Transportation Demand During the COVID-19 Pandemic by : Colleen Marron
Download or read book Using Public Opinion to Predict Changes in Transportation Demand During the COVID-19 Pandemic written by Colleen Marron and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this thesis was to investigate public concerns related to public transportation usage due to the COVID-19 Pandemic. The goal was to gain a better understanding of health and safety concerns of the public for three modes of public transportation; Commuter Rail, Subway/Underground Rail, and Bus, and to use this information to predict public transportation demand in a post- COVID-19 world. A survey of 1,000 United States residents was conducted through Amazon's Mechanical Turk crowdsourcing survey tool to probe public opinion regarding these issues. Data cleaning resulted in a sample size of 520 participants for analysis. The findings of this study is that there is a high level of public concern for public transportation usage since the start of the COVID-19 pandemic. There is a decrease in predicted public transportation ridership after the COVID-19 pandemic according to the survey results. Lastly, there are not large differences in level of concern among demographic sub-groups and there are no strong financial predictors of level of concern.
Book Synopsis Pandemic in the Metropolis by : Anastasia Loukaitou-Sideris
Download or read book Pandemic in the Metropolis written by Anastasia Loukaitou-Sideris and published by Springer Nature. This book was released on 2022-07-22 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together reports of original empirical studies which explore the impacts of the COVID-19 pandemic on urban mobility and transportation and the associated policy responses. Focusing on the California region, the book draws on this local experience to formulate general lessons for other regions and metropolitan areas. The book examines how the COVID-19 pandemic has had different impacts on vulnerable populations in cities. It explores the pandemic's impacts on the transportation industry, in particular public transit, but also on other industries and economic interests that rely on transportation, such as freight trucking, retail and food industries, and the gig-economy. It investigates the effect of the viral outbreak on automobile traffic and associated air quality and traffic safety, as well as on alternative forms of work, shopping, and travel which have developed to accommodate the conditions it has forced on society. With quantitative data supported with illustrations and graphs, transportation professionals, policymakers and students can use this book to learn about policies and strategies that may instigate positive change in urban transport in the post-pandemic period.
Book Synopsis Transport and Pandemic Experiences by : Maria Attard
Download or read book Transport and Pandemic Experiences written by Maria Attard and published by Emerald Group Publishing. This book was released on 2022-10-17 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transport and Pandemic Experiences discusses how the accumulated knowledge of the pandemic needs to be capitalised in our fight against climate change and helps to identify future research imperatives for better understanding and greater policy transferability.
Book Synopsis International Perspectives on Public Transport Responses to COVID-19 by : Takeru Shibayama
Download or read book International Perspectives on Public Transport Responses to COVID-19 written by Takeru Shibayama and published by Elsevier. This book was released on 2024-07-30 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Perspectives on Public Transport Responses to COVID-19 International Perspectives on Public Transport Responses to COVID-19 examines the pandemic response of transport policymakers around the world and analyzes what can be learned to prepare for the next epidemic—or any other critical event that threatens transportation services. It combines theoretical analysis with a compendium of country-focused case studies to provide scientific evidence and decision-making support for the actions that each transportation official must make going forward. This book begins with Part 1, a thematic and comparative section on response and recovery efforts. It provides insights into topics such as mitigation strategies and preparedness of the public transport sector to epidemics prior to COVID-19; responses during the COVID-19 pandemic and recovery from it; public transport services in urban and rural areas during the pandemic; and social (or physical) distancing and any other protective on-board measures. Part 2 then offers a set of international case studies, wherein various authors from different countries review their governments' and operators' responses. Each chapter is guided by a set of common research questions based on disaster mitigation theory. Part 3 then focuses on learnings and comparative analysis from the COVID-19 pandemic for future epidemic mitigation strategies in the public transport sector. Governments, public transport authorities and operators, as well as students and researchers will learn what has and has not worked well during the COVID-19 pandemic. These insights will help them to mitigate, prepare, respond, and recover from unexpected disruptive events like pandemics in the future. - Combines case studies (country-specific chapters) and analysis (thematic chapters) to enable a deeper understanding and provide different perspectives - Puts a clear focus on public transport, the most affected mode of transport amid the COVID-19 pandemic - Analyzes the COVID-19 responses in the public transport sector through the perspective of disaster management
Book Synopsis Data-driven Customer Segmentation by : Rachel Li-Jiang Luo
Download or read book Data-driven Customer Segmentation written by Rachel Li-Jiang Luo and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 triggered an unprecedented global lockdown and severely dampened public transit ridership, which was down 62% year-on-year across the U.S. through Q4 2020 [1]. Beyond these stark headline figures, more granular views of whose transit ridership patterns changed and how are needed to aid cash-strapped transit agencies in understanding both the operational and equity impacts of COVID-19 and assessing possible recovery strategies [2]. This thesis examines these questions in the Metro Boston region by applying k-means clustering to smart card data from the Massachusetts Bay Transportation Authority (MBTA). We empirically determine customer segments based on passenger-level pre-pandemic transit ridership patterns during January 13 - February 16, 2020, using data from 22.6 million trips by 1.5 million passengers. We then trace how COVID-19 produced differential churn rates and travel behaviour modifications among these distinct passenger groups. We find that COVID-19 induced churn among rail commuter segments key for supporting MBTA fare revenues, while bus riders and those who frequently rode rail off-peak-groups that covered the majority of reduced-fare and vulnerable passengers--were most likely to continue using the system. Our findings suggest that in the near term, the MBTA can support a ridership and revenue rebound by working closely with large employers involved in the MBTA "Perq" corporate pass program to plan for reopening. This can also position the MBTA to better gauge the need to redesign or reprice Perq to offer greater flexibility for workers who may be adopting remote work longer term and therefore commuting less frequently to the office. Further, our analysis reveals consistency in ridership patterns among bus passengers even during crisis times. In the medium term as the MBTA considers network redesigns to meet post-pandemic travel needs, existing plans for bus upgrades do not necessarily need heavy modification because COVID-19 did not completely redefine these passengers' transit usage patterns. This gives a base level of certainty for the MBTA's planning process, as it seeks to track and shape the uncertainty that COVID-19 has brought to demand on the rail side of its network. Finally, by supplementing our quantitative analysis with an overview of COVID-19 responses by other major U.S. transit agencies, we suggest that the MBTA can better weather future emergencies like COVID-19 by making longer-term efforts to shift its operating revenue mix away from volatile fare revenues towards more stable and resilient revenue sources such as sales and property taxes, and complementing this with sustainable financial management. The framework offered in this thesis for dissecting passenger ridership behavior and tracking passenger churn and cluster-switching can be applied to other transit agencies to detail either background ridership behavioral changes in normal years or rapid step-changes during a mobility crisis. Understanding passengers' ridership demand at the cluster level can inform both immediate actions that transit agencies can take to enable recovery, as well as support network redesign and long-term resilience
Book Synopsis Transportation Amid Pandemics by : Junyi Zhang
Download or read book Transportation Amid Pandemics written by Junyi Zhang and published by Elsevier. This book was released on 2022-09-18 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation Amid Pandemics: Practices and Policies is the first reference on pandemics (especially COVID-19) in the context of transport, logistics, and supply chains. This book investigates the relationships between pandemics and transport and evaluates impacts of COVID-19 and effects of policy responses to address them. It explores how to recover from pandemics, reveals governance for immediate policy responses and future innovations, suggests strategies for post-pandemic sustainable and resilient development, shares lessons of COVID-19 policymaking across countries, and discusses how to transform transport systems for a better future. Transportation Amid Pandemics offers transport researchers and policymakers the scientific evidence they need to support their decisions and solutions against pandemics. "Curiosity and research brought me to discover an excellent handbook covering the relations between COVID 19 and the transport reality. It is called "Transportation amid Pandemics –Lessons Learned from COVID-19" and has been published this year. 2022 happens to be the year of the 50th anniversary of the first report to The Club of Rome "The Limits to Growth". The new book covers evidences from all over the world, and offers policy recommendations from a great variety of perspectives". Ernst Ulrich von Weizsaecker - Represents the collective efforts of the World Conference on Transport Research Society (WCTRS) - Uniquely deals with intertwined issues of pandemics and transport - Investigates both successful and problematic policy measures - Emphasizes bvidence-based policymaking from cross-sectoral and transdisciplinary perspectives - Transfers lessons from the COVID-19 pandemic to future generations
Book Synopsis Global Trends 2040 by : National Intelligence Council
Download or read book Global Trends 2040 written by National Intelligence Council and published by Cosimo Reports. This book was released on 2021-03 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
Book Synopsis Rights in Transit by : Kafui Ablode Attoh
Download or read book Rights in Transit written by Kafui Ablode Attoh and published by University of Georgia Press. This book was released on 2019 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is public transportation a right? Should it be? For those reliant on public transit, the answer is invariably "yes" to both. Indeed, when city officials propose slashing service or raising fares, it is these riders who are often the first to appear at that officials' door demanding their "right" to more service. Rights in Transit starts from the presumption that such riders are justified. For those who lack other means of mobility, transit is a lifeline. It offers access to many of the entitlements we take as essential: food, employment, and democratic public life itself. While accepting transit as a right, this book also suggests that there remains a desperate need to think critically, both about what is meant by a right and about the types of rights at issue when public transportation is threatened. Drawing on a detailed case study of the various struggles that have come to define public transportation in California's East Bay, Rights in Transit offers a direct challenge to contemporary scholarship on transportation equity. Rather than focusing on civil rights alone, Rights in Transit argues for engaging the more radical notion of the right to the city.
Book Synopsis Modeling and Forecasting the Impact of Major Technological and Infrastructural Changes on Travel Demand by : Feras El Zarwi
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.
Author :National Research Council (U.S.). Transportation Research Board. Annual Meeting Publisher : ISBN 13 : Total Pages :558 pages Book Rating :4.:/5 (1 download)
Book Synopsis Design of Public Transport Services by : National Research Council (U.S.). Transportation Research Board. Annual Meeting
Download or read book Design of Public Transport Services written by National Research Council (U.S.). Transportation Research Board. Annual Meeting and published by . This book was released on 1981 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Tourism Through Troubled Times by : Maximiliano E. Korstanje
Download or read book Tourism Through Troubled Times written by Maximiliano E. Korstanje and published by Emerald Group Publishing. This book was released on 2022-09-23 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tourism Through Troubled Times is an illuminating read for all scholars of Tourism Studies, Hospitality Management, and the Sociology of Tourism, as well as practitioners and managers within the hospitality sector, and gives clear insights into the industry’s next steps forward.
Book Synopsis Information and Communication Technologies in Tourism 2021 by : Wolfgang Wörndl
Download or read book Information and Communication Technologies in Tourism 2021 written by Wolfgang Wörndl and published by Springer Nature. This book was released on 2021-01-11 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.
Book Synopsis Transportation Amid Pandemics by : Junyi Zhang
Download or read book Transportation Amid Pandemics written by Junyi Zhang and published by Elsevier. This book was released on 2022-08-15 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation Amid Pandemics: Practices and Policies is the first reference on pandemics (especially COVID-19) in the context of transport, logistics, and supply chains. This book investigates the relationships between pandemics and transport and evaluates impacts of COVID-19 and effects of policy responses to address them. It explores how to recover from pandemics, reveals governance for immediate policy responses and future innovations, suggests strategies for post-pandemic sustainable and resilient development, shares lessons of COVID-19 policymaking across countries, and discusses how to transform transport systems for a better future. Transportation Amid Pandemics offers transport researchers and policymakers the scientific evidence they need to support their decisions and solutions against pandemics. "Curiosity and research brought me to discover an excellent handbook covering the relations between COVID 19 and the transport reality. It is called "Transportation amid Pandemics -Lessons Learned from COVID-19" and has been published this year. 2022 happens to be the year of the 50th anniversary of the first report to The Club of Rome "The Limits to Growth". The new book covers evidences from all over the world, and offers policy recommendations from a great variety of perspectives". Ernst Ulrich von Weizsaecker
Book Synopsis COVID-19 and Transport in Asia and the Pacific by : Asian Development Bank
Download or read book COVID-19 and Transport in Asia and the Pacific written by Asian Development Bank and published by Asian Development Bank. This book was released on 2020-12-01 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: The economic and social impacts of the coronavirus disease (COVID-19) have been dramatic, and transport has played a central role in its spread. The transport sector has also enabled essential workers to get to work during the pandemic and will support the needs of the population throughout the different stages of recovery. This guidance note presents (i) the impacts of the pandemic on social and travel behaviors in Asia and the Pacific, and how the transport sector is responding; and (ii) guiding principles and good practices in transport operations to support economic recovery.
Author :Transit Cooperative Research Program Publisher :Transportation Research Board ISBN 13 :0309087767 Total Pages :29 pages Book Rating :4.3/5 (9 download)
Book Synopsis Transit Capacity and Quality of Service Manual by : Transit Cooperative Research Program
Download or read book Transit Capacity and Quality of Service Manual written by Transit Cooperative Research Program and published by Transportation Research Board. This book was released on 2003 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains full text of the manual, Microsoft Excel spreadsheets, and a library of related documents.
Book Synopsis Exogenous Drivers of Public Transit and Ride-hailing Ridership by : Patrick Stephen Meredith-Karam
Download or read book Exogenous Drivers of Public Transit and Ride-hailing Ridership written by Patrick Stephen Meredith-Karam and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chicago's mobility landscape has undergone transformative change in recent years, and the future of the urban transportation system is uncertain as we recover from COVID-19. In the establishment of a post-pandemic normal, transit agencies and policymakers will need to continually evaluate the intended and unintended consequences of policy interventions, understand the behaviors and intentions of their riders, and assess their relationship with other modes of transportation. This thesis identifies analysis processes and provides practical examples for performing all these functions.
Book Synopsis Lectures on Biostatistics: An Introduction to Statistics With Applications in Biology and Medicine by : D. Colquhoun
Download or read book Lectures on Biostatistics: An Introduction to Statistics With Applications in Biology and Medicine written by D. Colquhoun and published by David Colquhoun. This book was released on 1971 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
