Household Vehicle Fleet Decision-making for an Integrated Land Use, Transportation and Environment Model PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Household Vehicle Fleet Decision-making for an Integrated Land Use, Transportation and Environment Model PDF full book. Access full book title Household Vehicle Fleet Decision-making for an Integrated Land Use, Transportation and Environment Model by Jared Duivestein. Download full books in PDF and EPUB format.
Author: Jared Duivestein
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Jared Duivestein
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Jean-Claude Thill
Publisher: Springer
ISBN: 3319595113
Category : Science
Languages : en
Pages : 407
Get Book Here
Book Description
The contributed volume collects cutting-edge research in GeoComputational Analysis of Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of regional contexts.
Author: Adam Taylan Nodjomian
Publisher:
ISBN:
Category :
Languages : en
Pages : 246
Get Book Here
Book Description
The field of transportation is on the cusp of major change. Innovations in how vehicles operate and are powered have the potential to elicit changes not seen since the introduction of the interstate highway system more than half a century ago. Predicting the impacts of new vehicle technologies has interested researchers and practitioners across disciplines and continents. This thesis makes a handful of such predictions. It is divided into three parts. In the first part, the results of two large-scale preference surveys and data from the U.S. Environmental Protection Agency’s (EPA) Smart Location Database (EPA, 2014) are used to estimate how land use characteristics impact Americans’ perceptions of, interest in, and willingness to pay for new vehicle technologies, while controlling for demographic attributes. The surveys were conducted by Quarles and Kockelman (2018) and Gurumurthy and Kockelman (2018) in 2017 and together represented over 4,000 U.S. households. Statistical models like the ordered probit and multinomial logit are used to estimate the impacts of demographics and land use characteristics on vehicle-related behavior. Various land use variables arise as significant depending on the question being asked of the respondents. For example, poor job accessibility via automobile is associated with higher levels of interest in automated vehicles (AVs), higher anticipated use of AV technology, a willingness-to-pay (WTP) for self-driving capability, and a greater reliance on AVs for some long-distance travel. No land use variable arises as significantly more predictive than the others at this national-level scale of analysis. The results emphasize the fact that land use policy must be considered at the local level, and that there is no “one size fits all” solution for managing future transportation behavior with land use action. The second part of this thesis evaluates the connection between land use and current travel behavior. Census tract-level measures of population and employment density (provided once again by the EPA’s Smart Location Database [EPA, 2014]) are evaluated across the nation to investigate the connection between the development conditions one experiences and his or her travel behavior. Travel data comes from the 2009 National Household Travel Survey (NHTS). The results highlight a stronger connection between population density and vehicle-miles traveled (VMT) and vehicle ownership, than with employment density. For both VMT and vehicle ownership, an improvement of only two to one can be expected by changing population density conditions in a census tract. In other words increasing population from the lowest density conditions to the highest results in a decline of VMT per capita per day from 20 miles to 10 miles. Similarly, vehicle ownership per capita generally ranges from 0.4 to 0.8. Notably, these improvements are not realized until the highest decile of population density (18 people per acre), thus indicating that simply building homes in rural or low-density suburban regions will likely have a negligible impact on transportation demand. Employment density was found to be less indicative of travel behavior. The third and final piece of the thesis predicts how an evolving light-duty vehicle (LDV) fleet will impact the amount of energy consumed by Americans and the emissions they create. Here, the results of a fleet evolution simulation, developed by Quarles et al. (2019), are used to project what a vehicle fleet with more electric (and fewer gasoline-powered) vehicles will mean for energy consumption and emissions on a per capita basis. Projections are based on historic fuel efficiency data and emission production rates from the Bureau of Transportation Statistics (BTS) and EPA (BTS, 2018b; BTS, 2018c; EPA, 2018a). Conclusions from these findings highlight the need for more efficient vehicles, better emissions control technologies on existing vehicle models and power plants, and a decreased reliance on highly-polluting energy sources for power generation. Policies aimed at achieving these objectives will help ensure that Americans’ future vehicle behavior and ownership will not create an undue burden on themselves or the environment in which they live. Although the analyses discussed in this thesis cover diverse topics such as human behavior, urban planning, and air quality, they establish the need for a proactive approach to cutting-edge vehicle technologies. If left to develop without any oversight or action, transportation network congestion will worsen, development will continue to sprawl, and the environment and public health will suffer. Policies aimed at limiting “empty” driving with AVs, increasing population density, and curbing vehicle and power plant emissions can help ensure the benefits of vehicle technology innovation are not realized at the expense of other considerations.
Author: I.M. Schoeman
Publisher: WIT Press
ISBN: 178466233X
Category : Architecture
Languages : en
Pages : 193
Get Book Here
Book Description
For many years the integration of the location of land use and activities in spatial systems, as well as the provision of transport in movement of goods, services and people, has been recognized as a challenge amongst various specialists, including: engineers, transportation planners, economists, environmentalists, urban and regional planners and developers. The purpose of this book is to address transportation modelling in terms of technology, techniques and methodology application in context to the interface between transportation systems, land use planning, and environmental challenges and application. The methodology of transportation modelling is applied to international practices and application based on specific case studies, inclusive of public transportation projects; transportation modelling techniques in practice; international research agenda; network design and channel strategies; strategic planning; application of technology in traffic surveys and interpretation; emissions from transportation systems; application of mathematical models and the interface between environment, land use and development in terms of location in space and the resulting activities. Of value to both theorists and practitioners, this book references the integration of transportation modelling techniques within an interdisciplinary environment inside all spatial systems.
Author: Mingzhu Yao
Publisher:
ISBN:
Category : City planning
Languages : en
Pages : 179
Get Book Here
Book Description
Understanding household long-term decisions concerning residential location/relocation, car ownership and short-term activity travel choices are crucial for land use and transport planning. However, when addressing these issues, multitudes of choice models applying individual or unitary household decision-making mechanisms have dominated in transport studies, ignoring the interactions among household members in consensual decision making in real situations. To promote the investigation of these issues from a group decision-making perspective, this study explores the applicability of various group decision-making approaches to investigate multiple long-term decisions and short-term choices. Specifically, this thesis has four main research objectives: 1) adopt a utilitarian approach to develop an integrated model that links household members’ consensual long-term decisions like housing, vehicle ownership and short-term activity-travel decisions like time use, explicitly capturing expenditure tradeoff for long-term decisions on housing and car ownership; 2) employ the Nash bargaining approach to model household members’ consensual car ownership choice and examine this choice from the perspective of household time allocation; 3) apply an egalitarian bargaining approach (capture household members’ concern for equity) to model household residential relocation choice, make a comparative study among this approach, Nash bargaining approach, and conventional utilitarian approach, and then accommodate these heterogeneous group decision mechanisms in a unified modeling framework; 4) examine the impacts of vehicle usage rationing policy on household car ownership and spouses’ time allocation patterns. The database that serves for empirical applications of the formulated models is from a two-wave household activity-travel diary survey conducted in Beijing. This thesis contributes to current literature by adopting new approaches to investigate various group decision-making mechanisms among household members, comparing and assessing the predictive performance of different group decision approaches, as well as explicitly capturing household’s long-term expenditure tradeoff. Insights and findings from this study are helpful for gaining profound understanding of spatial distribution of residence, household car ownership and individuals’ activity-travel patterns, which will be conducive to the formulation of relevant policies for sustainable urban development.
Author: Johanna Zmud
Publisher: Emerald Group Publishing
ISBN: 1781902887
Category : Transportation
Languages : en
Pages : 821
Get Book Here
Book Description
Compiles the critical thinking on priority topics in contemporary transport policy and planning contexts. In this title, 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.
Author: Rounaq Basu
Publisher:
ISBN:
Category :
Languages : en
Pages : 175
Get Book Here
Book Description
Emerging transportation technologies like autonomous vehicles and services like on-demand shared mobility are casting their shadows over the traditional paradigm of vehicle ownership. Several countries are witnessing stagnation in overall car use, perhaps due to the proliferation of access-based services and changing attitudes of millennials. Therefore, it becomes necessary to revisit this paradigm, and reconsider strategies for modeling vehicle availability and use in this new era. This thesis attempts to do that through three studies that contribute to the methodological, conceptual, and praxis literatures. The first study proposes a hybrid modeling methodology that leverages machine learning techniques to enhance traditional behavioral discrete choice models used in practice. The usefulness of this model to predict market shares of unforeseen choices like new mobility services is illustrated through an application to the off-peak car in Singapore. Our model significantly improves upon the market shares predicted by traditional models through an average reduction of 60% in RMSE. The second study shifts the focus from vehicle ownership to vehicle availability in the form of mobility bundles. We leverage Singapore’s unique policy environment to empirically model households’ preferences for unique mobility bundles that are constructed in an ordinal fashion. This is followed by an examination of car usage within the household. Significant intra-household interaction effects are found with respect to job location, in addition to the observation of gender biases in the decision-making process. The third study evaluates the effectiveness of car-lite policies that seek to replace private vehicle usage with shared and smart mobility services. Behavioral responses to the policy and associated market effects are modeled using an integrated land use transport simulator calibrated for Singapore. Initially favorable aggregate outcomes tend to disappear as short-term market effects set in. Although outcomes stabilize to a certain extent over the long-term, the initial characteristics of the study area are found to strongly influence the success of such policies.
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 862
Get Book Here
Book Description
Author: Travel Model Improvement Program (U.S.)
Publisher:
ISBN:
Category : Federal aid to transportation
Languages : en
Pages : 46
Get Book Here
Book Description
Author: Francesca Pagliara
Publisher: Springer Science & Business Media
ISBN: 3642127886
Category : Business & Economics
Languages : en
Pages : 254
Get Book Here
Book Description
The effective planning of residential location choices is one of the great challenges of contemporary societies and requires forecasting capabilities and the consideration of complex interdependencies which can only be handled by complex computer models. This book presents a range of approaches used to model residential locations within the context of developing land-use and transport models. These approaches illustrate the range of choices that modellers have to make in order to represent residential choice behaviour. The models presented in this book represent the state-of-the-art and are valuable both as key building blocks for general urban models, and as representative examples of complexity science.
