California Statewide Household Travel Survey, 2000-2001 PDF Download
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Author: California. Department of Transportation
Publisher:
ISBN:
Category : Origin and destination traffic surveys
Languages : en
Pages : 154
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Author: California. Department of Transportation
Publisher:
ISBN:
Category : Origin and destination traffic surveys
Languages : en
Pages : 154
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Author: Dhanya Pranab Kumar
Publisher:
ISBN: 9781339528298
Category :
Languages : en
Pages : 57
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Book Description
The main objective of this thesis is to highlight the travel patterns of two-person households in California as captured in the 2000-2001 and 2010-2012 California Household Travel Surveys (CHTS). The intent is to present basic travel characteristics of households with two peoples who are couples, are employed and do not have kids at home (denoted as DINK - Dual Income No Kids at home) along with comparisons with two-person households who does not belong to the aforementioned category (NON-DINK) using the CHTS 2000-2001 and 2010-2012 datasets. The results highlight significant differences in travel patterns between the two categories, DINKs and NON-DINKs during the eleven years from 2001 to 2012. The average number of daily trips is higher for DINKs compared to NON-DINKs and the trip rate has reduced in 2012 compared to 2001 for both categories. Auto (driver of auto/truck/van) trips is the primary mode of travel for DINKs and NON_DINKs in CHTS 2001 and 2012. During the eleven years, there has been a decrease in auto trips and an increase in the percentages of passenger, bike, walk and transit trips. The primary trip purpose for DINKs are work or work-related, whereas the primary trip purpose for NON-DINKs are shopping/maintenance trips according to both survey results.
Author: Robert G. Schiffer
Publisher: Transportation Research Board
ISBN: 0309258790
Category : Traffic estimation
Languages : en
Pages : 144
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Book Description
"TRB's National Cooperative Highway Research Program (NCHRP) Report 735: Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models explores transferable parameters for long-distance and rural trip-making for statewide models. Appendixes G, H, and I are not contained in print or PDF versions of the report but are available online. Appendix G presents a series of rural typology variables considered in stratifying model parameters and benchmarks and identifies the statistical significance of each. Appendix H contains rural trip production rates for several different cross-classification schemes and the trip rates associated with each. Finally, Appendix I provides additional information on auto occupancy rates."--Publisher's description.
Author: Brian W. Sloboda
Publisher: J. Ross Publishing
ISBN: 160427008X
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
In recent years, transportation systems have been judged on performance-based outcomes, thus, quantitative methods have become increasingly important to such assessments. This definitive reference will equip you with state-of-the-art statistical tools used in transportation modeling, how to interpret results and analyze the implications of those results.
Author:
Publisher: Transportation Research Board
ISBN: 9780309062107
Category : Households
Languages : en
Pages : 196
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Author:
Publisher:
ISBN: 9781885070579
Category : 2001 NHTS national household travel survey
Languages : en
Pages : 0
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Book Description
The National Household Travel Survey is the United States government's annual demographic survey of daily and long distance travel by a representative sample of Americans. The survey collects information on travel mode (including walking, subway trips, etc.); trip purpose; and standard demographic information. This text collates the data into some 500 tables revealing details of American's average daily travel. Annotation ♭2004 Book News, Inc., Portland, OR (booknews.com).
Author: David A. Swanson
Publisher: Springer Science & Business Media
ISBN: 9048189543
Category : Social Science
Languages : en
Pages : 420
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Book Description
Providing a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers. Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates.
Author: Rasouli, Soora
Publisher: IGI Global
ISBN: 1466661712
Category : Computers
Languages : en
Pages : 426
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Book Description
"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry"--Provided by publisher.
Author: Kenneth Thomas Gillingham
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 298
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Book Description
When gasoline prices rise, people notice: the news is filled with reports of pinched household budgets and politicians feeling pressure to do something to ameliorate the burden. Yet, raising the gasoline tax to internalize externalities is widely considered by economists to be among the most economic efficiency-improving policies we could implement in the transportation sector. This dissertation brings new evidence to bear on quantifying the responsiveness to changing gasoline prices, both on the intensive margin (i.e., how much to drive) and the extensive margin (i.e., what vehicles to buy). I assemble a unique and extremely rich vehicle-level dataset that includes all new vehicle registrations in California 2001 to 2009, and all of the mandatory smog check program odometer readings for 2002 to 2009. The full dataset exceeds 49 million observations. Using this dataset, I quantify the responsiveness to gasoline price changes on both margins, as well as the heterogeneity in the responsiveness. I develop a novel structural model of vehicle choice and subsequent utilization, where consumer decisions are modeled in a dynamic setting that explicitly accounts for selection on unobserved driving preference at both the time of purchase and the time of driving. This utility-consistent model allows for the analysis of the welfare implications to consumers and government of a variety of different policies, including gasoline taxes and feebates. I find that consumers are responsive to changing gasoline prices in both vehicle choice and driving decisions, with more responsiveness than in many recent studies in the literature. I estimate a medium-run (i.e., roughly two-year) elasticity of fuel economy with respect to the price of gasoline for new vehicles around 0.1 for California, a response that varies by whether the vehicle manufacturer faces a tightly binding fuel economy standard. I estimate a medium-run elasticity of driving with respect to the price of gasoline around -0.15 for new personal vehicles in the first six years. Older vehicles are driven much less, but tend to be more responsive, with an elasticity of roughly -0.3. I find that the vehicle-level responsiveness in driving to gasoline price changes varies by vehicle class, income, geographic, and demographic groups. I also find that not including controls for economic conditions and not accounting for selection into different types of new vehicles based on unobserved driving preference tend to bias the elasticity of driving away from zero -- implying a greater responsiveness than the true responsiveness. This is an important methodological point, for much of the literature estimating similar elasticities ignores these two issues. These results have significant policy implications for policies to reduce gasoline consumption and greenhouse gas emissions from transportation. The relatively inelastic estimated responsiveness on both margins suggests that a gasoline tax policy may not lead to dramatic reductions in carbon dioxide emissions, but is a relatively non-distortionary policy instrument to raise revenue. When the externalities of driving are considered, an increased gasoline tax may not only be relatively non-distortionary, but even economic efficiency-improving. However, I find that the welfare changes from an increased gasoline tax vary significantly across counties in California, an important consideration for the political feasibility of the policy. Finally, I find suggestive evidence that the ``rebound effect'' of a policy that works only on the extensive margin, such as a feebate or CAFE standards, may be closer to zero than the elasticity of driving with respect to the price of gasoline. This suggestive finding is particularly important for the analysis of the welfare effects of any policy that focuses entirely on the extensive margin.
Author: Patricia S. Hu
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 95
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Book Description
