Modeling Household Vehicle And Transportation Choice And Usage 2017
DOWNLOAD
Download Modeling Household Vehicle And Transportation Choice And Usage 2017 PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modeling Household Vehicle And Transportation Choice And Usage 2017 book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Modeling Household Vehicle And Transportation Choice And Usage 2017
DOWNLOAD
Author : Patricia L. Mokhtarian
language : en
Publisher:
Release Date : 2017
Modeling Household Vehicle And Transportation Choice And Usage 2017 written by Patricia L. Mokhtarian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Automobile ownership categories.
Modeling Household Vehicle And Transportation Choice And Usage
DOWNLOAD
Author : Karen Chappie
language : en
Publisher:
Release Date : 2017
Modeling Household Vehicle And Transportation Choice And Usage written by Karen Chappie and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Choice of transportation categories.
Modeling Household Vehicle And Transportation Choice And Usage
DOWNLOAD
Author : Cheng Zhuo
language : en
Publisher:
Release Date : 2016
Modeling Household Vehicle And Transportation Choice And Usage written by Cheng Zhuo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
With respect to VMT: · The initial simplified model of ln(VMT+1), which includes only income and driving mobility limitation as explanatory variables, and was estimated with the NHTS dataset, has an R-squared of 0.1486. · The explanatory power of the initial model improves drastically after incorporating household-related variables into the model specification: when variables related to number of workers, number of drivers, and number of children enter the model, the R-squared value for the this "intermediate" model increases to 0.3204. · Furthermore, accounting for residential neighborhood land use also improves the explanatory power of the log-linear model of VMT. When we include density of the residential census tract as an additional explanatory variable into the "intermediate" model from above, the R-squared value increases to 0.3382. Therefore, the inclusion of a single land use variable improves the R-squared of the model by 5.6%. · Finally, the most complete model, which includes the density variable, and which is segmented based on neighborhood type and city size/presence of rail to allow model coefficients to vary in the six different clusters, has an R-Squared of 0.3429. This thesis makes a useful contribution in improving our understanding of why certain households choose to own fewer vehicles than usual. First, the study highlights the incremental contributions of specific groups of variables toward explaining observed behaviors. Several of these variables, e.g. personal attitudes, are often not controlled for in vehicle ownership and travel behavior studies. Accordingly, several conclusions of interest to planners and policy-makers can be drawn from the analysis of the results from this study: we find that the inclusion of attitudinal variables increases by a modest, but not trivial, amount the model's ability to predict observed choice. In particular, all else equal, pro-environment and pro-transit attitudes are found to contribute to explaining the choice of households who do not own a car, while a pro-driving attitude is found to have a positive effect on the choice of owning more vehicles than expected. Thus, the study highlights the importance of including individual attitudes in future surveys that collect information on household vehicle ownership and travel behavior. Doing so would improve the ability to correctly predict individuals' choices (including heterogeneity in choice processes across individuals), which can better support the evaluation of planning policies. Further, this study confirms the importance of residential location and of the characteristics of land use in affecting vehicle ownership and VMT. Specifically, the estimation results from the models that control for residential neighborhood characteristics highlight not only how VO and VMT vary for households across different regions, from a small town to a large city served by rail transit, but also how the influence of specific variables on VO and VMT differs by land-use type. For instance, the presence of more children in the household contributes to greater VMT, and the beta coefficient for the children variable is roughly the same across all lower-density neighborhoods (LDNs), whether in a small town or large metro area. However, for higher-density neighborhoods (HDNs), households living in smaller towns have greater increases in VMT compared to those living in large cities with rail, when the number of children under 16 increases. The presence of richer public transportation and the greater practicality of active transportation in densely-populated portions of large metropolitan areas may explain this phenomenon. The study provides insights into ways to increase the share of households who have ZVO or less than expected VMT. For example, the results from the study support the principle that policies designed to improve public transit and expand high-density neighborhoods can successfully contribute to reducing vehicle ownership and VMT, although the specific results in terms of reduction of car use also depend on the characteristics of the household. And although bicycling infrastructure was not a basis for the land use segmentation we employed in this study, given that higher-density neighborhoods can shorten trip lengths and thereby make active transportation more competitive with the automobile for short trips, the study suggests that creating a more effective bicycling infrastructure, especially in higher-density neighborhoods, would also be effective in reducing VO and VMT.
Vehicle Availability Modeling
DOWNLOAD
Author : Travel Model Improvement Program (U.S.)
language : en
Publisher:
Release Date : 2000
Vehicle Availability Modeling written by Travel Model Improvement Program (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Federal aid to transportation categories.
Vehicle Choice And Usage Models In The Household Sector
DOWNLOAD
Author : David Alan Hensher
language : en
Publisher:
Release Date : 1984
Vehicle Choice And Usage Models In The Household Sector written by David Alan Hensher and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Automobile ownership categories.
A Vehicle Usage Forecasting Model Based On Revealed And Stated Vehicle Type Choice And Utilization Data
DOWNLOAD
Author : Thomas F. Golob
language : en
Publisher:
Release Date : 1995
A Vehicle Usage Forecasting Model Based On Revealed And Stated Vehicle Type Choice And Utilization Data written by Thomas F. Golob and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Automobile driving categories.
Urban Informatics
DOWNLOAD
Author : Wenzhong Shi
language : en
Publisher: Springer Nature
Release Date : 2021-04-06
Urban Informatics written by Wenzhong Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Social Science categories.
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Handbook Of Travel Behaviour
DOWNLOAD
Author : Dimitris Potoglou
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-04-12
Handbook Of Travel Behaviour written by Dimitris Potoglou and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Political Science categories.
This insightful Handbook offers a comprehensive and diverse understanding of the determinants of travel behaviour, looking at the ways in which it can be better understood, modelled and forecasted. Dimitris Potoglou and Justin Spinney bring together an international range of esteemed academics who explore the origins of the field, research analysis methods, environmental considerations, and social factors. This title contains one or more Open Access chapters.
The Design Of A Comprehensive Microsimulator Of Household Vehicle Fleet Composition Utilization And Evolution
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2012
The Design Of A Comprehensive Microsimulator Of Household Vehicle Fleet Composition Utilization And Evolution written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Automobile driving categories.
The report describes a comprehensive vehicle fleet composition, utilization, and evolution simulator that can be used to forecast household vehicle ownership and mileage by type of vehicle over time. The components of the simulator are developed in this research effort using detailed revealed and stated preference data on household vehicle fleet composition, utilization, and planned transactions collected for a large sample of households in California. Results of the model development effort show that the simulator holds promise as a tool for simulating vehicular choice processes in the context of activity-based travel microsimulation model systems.
Dimensions Of Automobile Demand
DOWNLOAD
Author : David A. Hensher
language : en
Publisher: North Holland
Release Date : 1992-03-18
Dimensions Of Automobile Demand written by David A. Hensher and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-03-18 with Business & Economics categories.
This unique book is the first attempt to fully integrate automobile ownership (by fleet size and vehicle type) and vehicle use in an intertemporal setting which recognises the durable nature of automobiles using extensive longitudinal panel data on each household (over 5 years). The book presents: the theoretical and econometric development of a joint discrete-continuous choice longitudinal model system of household and automobile ownership and use, bringing together 9 years of research;the application of the model system for the period 1981-1985 in Australia;the forecasting of the model system up to 2020; particular emphasis on the development and application of a longitudinal data base which is unique to the topic - to capture the dynamic (intertemporal) impacts of technological change, life-style change, fuel prices etc. The book not only extends the reader's knowledge of the dimensions of automobile demand but it also adds important new ideas on handling dynamics of choice, as well as new empirical evidence on elasticities of demand for vehicles and vehicle kilometres. Energy and transport planning specialists will find the book essential reading.