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Every three years, researchers with interest and expertise in transport survey methods meet to improve and influence the conduct of surveys that support transportation planning, policy making, modelling, and monitoring related issues for urban, regional, intercity, and international person, vehicle, and commodity movements. This book compiles the critical thinking on priority topics in contemporary transport policy and planning contexts. The contributed papers cover two key themes related to types of decision-making of importance to the development of data collection on both passenger travel and freight movements: the first theme, Selecting the Right Survey Method, acknowledges the fact that transport survey methods are evolving to meet both changing uses of transport survey data and the challenges of conducting surveys within contemporary society. The second theme, Supporting Transport Planning and Policy, recognizes that the demands on transportation data programs to support decision-making for transport planning and policy making clearly have evolved. The chapters have been selected with particular emphasis on the challenges of the near and medium term future to the design of transport surveys. Rapidly evolving problems and policy contexts are compelling transport researchers to advance the state-of-the-art of methods, tools, strategies and protocols, while assuring the stability and coherence of the very data from which trends can be tracked and understood and on which important decisions can be made.
Traffic surveys. --- Transportation --- Statistical methods. --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Traffic census --- Traffic statistics --- Economic aspects --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Surveys --- Transportation surveys --- Transportation and state --- Design --- Decision making --- E-books --- State and transportation --- Transportation policy --- Government policy --- Business & Economics --- Transport industries. --- Transport planning & policy. --- Surveying. --- Transportation surveys. --- General. --- Industries --- Transportation. --- Design. --- Planning --- Decision making.
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"What might one expect for the future of mobility in the United States in 2030? Mobility is defined as the ability to travel from one location to another, regardless of mode or purpose. RAND researchers used a six-step scenario development process to develop two thought-provoking scenarios that address this question. The six steps are (1) select influencing areas (domains that affect mobility directly; here, demographics, economics, energy, transportation funding and supply, and technology); (2) elicit projections on descriptors (via expert workshops); (3) integrate into scenario frameworks (using two analysis methods and a computer-based tool); (4) produce scenario narratives (based on the clusters produced by the tool); (5) draw consequences for future mobility (by estimating future growth in travel modes based on the projections); and (6) create wild-card scenarios (by looking at events that might disrupt trends). Three key drivers differentiate the resulting scenarios: the price of oil, the development of environmental regulation, and the amount of highway revenues and expenditures. In scenario 1, No Free Lunch, oil prices for consumers and business increase because of greenhouse gas-reduction legislation, and states and localities implement road pricing, which results in higher revenues. Mobility in this scenario is lower because of the higher costs of driving. Scenario 2, Fueled and Freewheeling, assumes that oil prices remain steady, no major environmental legislation is passed, and highway revenues decline, which results in generally higher mobility, especially miles driven"--Provided by publisher.
Transportation --- Transportation engineering --- Business & Economics --- Transportation Economics --- Forecasting --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Economic aspects --- Civil engineering --- Engineering --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade
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Researchers developed two scenarios to envision the future of mobility in China in 2030. Economic growth, the presence of constraints on vehicle ownership and driving, and environmental conditions differentiate the scenarios. By making potential long-term mobility futures more vivid, the team sought to help decisionmakers at different levels of government and in the private sector better anticipate and prepare for change.
E-books --- China -- Historical geography. --- Transportation -- China -- Forecasting. --- Transportation -- China -- History. --- Transportation engineering -- China. --- Transportation --- Transportation engineering --- Civil engineering --- Engineering --- Public transportation --- Transport --- Transportation, Primitive --- Transportation companies --- Transportation industry --- Locomotion --- Commerce --- Communication and traffic --- Storage and moving trade --- Forecasting. --- Economic aspects
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Quality of life --- Sustainable development --- Social Conditions --- Sociology & Social History --- Social Sciences --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable economic development --- Life, Quality of --- Environmental aspects --- Economic development --- Economic history --- Human ecology --- Life --- Social history --- Basic needs --- Human comfort --- Social accounting --- Work-life balance --- 2000 - 2099 --- Pearl River Delta (China) --- China --- Economic conditions --- Social conditions --- Chu River Delta (China) --- Zhu River Delta (China) --- Zhujiang San Jiao Zhou (China) --- Zhujiang Sanjiaozhou (China)
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"The level of automobility, defined as travel in personal vehicles, is often seen as a function of income: The higher a country's per capita income, the greater the amount of driving. However, levels of automobility vary quite substantially between countries even at similar levels of economic development. This suggests that countries follow different mobility paths. The research detailed in this report sought to answer three questions: What are the factors besides economic development that affect automobility? What is their influence on automobility? What will happen to automobility in developing countries if they progress along similar paths as developed countries? To answer these questions, the authors developed a methodology to identify these factors, model their impact on developed countries, and forecast automobility (as defined by per capita vehicle-kilometers traveled [VKT]) in four developing countries. This methodology draws on quantitative analysis of historical automobility development in four country case studies (the United States, Australia, Germany, and Japan) that represent very different levels of per capita automobility, in combination with data derived from an expert-based qualitative approach. The authors used the latter to assess how these experiences may affect the future of automobility in the BRIC countries: Brazil, Russia, India, and China. According to this analysis, automobility levels in the four BRIC countries will fall between those of the United States (which has the highest per capita VKT level of the four case studies) and Japan (which has the lowest). Brazil is forecasted to have the highest per capita VKT and India the lowest." -- "Abstract" on web page.
Transportation, Automotive --- Automobiles --- Automobile drivers --- Business & Economics --- Transportation Economics --- Social aspects --- Drivers, Automobile --- Autos (Automobiles) --- Cars (Automobiles) --- Gasoline automobiles --- Motorcars (Automobiles) --- Automotive transportation --- Highway transportation --- Motor carriers --- Motor transportation --- Road transportation --- Automobile occupants --- Motor vehicle drivers --- Motor vehicles
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