Modeling Household Vehicle And Transportation Choice And Usage
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Modeling Household Vehicle And Transportation Choice And Usage
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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
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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.
Modeling Household Vehicle And Transportation Choice And Usage 2017
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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.
Vehicle Choice And Usage Models In The Household Sector
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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.
Vehicle Availability Modeling
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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.
A Vehicle Usage Forecasting Model Based On Revealed And Stated Vehicle Type Choice And Utilization Data
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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.
How Households Use Different Types Of Vehicles
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Author : Thomas F. Golob
language : en
Publisher:
Release Date : 1997
How Households Use Different Types Of Vehicles 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 1997 with Automobile driving categories.
Modelling Transport
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Author : Juan de Dios Ortúzar
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-15
Modelling Transport written by Juan de Dios Ortúzar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Technology & Engineering categories.
MODELLING TRANSPORT Comprehensive Textbook Resource for Understanding Transport Modelling Modelling Transport provides unrivalled depth and breadth of coverage on the topic of transport modelling. Each topic is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation, and application. The authors present the state of the art and its practical application in a pedagogic manner, easily understandable to both students and practitioners. An accompanying website hosts a solutions manual. Sample topics and learning resources included in the work are as follows: State-of-the-art developments in the field of transport modelling, including new research and examples Factors to consider for better modelling and forecasting Information and analysis on dynamic assignment and micro-simulation and model design and specification Agent and Activity Based Modelling Modelling new modes and services Graduate students in transportation engineering and planning, transport economics, urban studies, and geography programs along with researchers and practitioners in the transportation and urban planning industry can use Modelling Transport as a comprehensive reference work for a wide array of topics pertaining to this field.
A Model Of Household Demand For Activity Participation And Mobility
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Author : Thomas F. Golob
language : en
Publisher:
Release Date : 1996
A Model Of Household Demand For Activity Participation And Mobility 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 1996 with Choice of transportation categories.
The Design Of A Comprehensive Microsimulator Of Household Vehicle Fleet Composition Utilization And Evolution
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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.