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This presentation outlines the ways automation will "change the daily travel decisions of individuals and alter overall vehicle miles traveled and energy use."
This article examines the potential effects of driving on health and well-being.
This article examines the theoretical heat-energy demand of different types of urban form at a scale of 500 m × 500 m.
"Thanks to a literature review, interviews of the players of the French CEP sector and urban parcel delivery sector, as well as comparisons with other European countries, this article analyzes the sector's changes, its drivers, and provides an accurate picture, based on examples and figures, of an under-studied sector. The article also highlights some future prospects for the new segment such as the segment's consolidation and the rise of cross-border e-commerce."
This chapter estimates how minimum parking requirements increase the cost of constructing housing, office buildings, and shopping centers. It also explains proposed legislation to limit how much parking cities can require in transit-rich districts.
"This paper builds on the growing scholarship on neighbourhood-level GHG production by combining emissions calculations from embodied energy, building-operating energy, and transportation energy, examining four variations of residential density."
Based on the 2001 and 2009 National Household Travel Surveys, this paper analyzes trends and determinants of multimodal car use in the U.S. during a typical week by distinguishing between (1) monomodal car users who drive or ride in a car for all trips, (2) multimodal car users who drive or ride in a car and also use non-automobile modes, and (3) individuals who exclusively walk, cycle, and/or ride public transportation. We find that during a typical week a majority—almost two thirds—of Americans use a car and make at least one trip by foot, bicycle, or public transportation. One in four Americans uses a car and makes at least seven weekly trips by other modes of transportation. Results from multinomial and logistic regression analyses suggest there may be a continuum of mobility types ranging from monomodal car users to walk, bicycle, and/or public transportation only users—with multimodal car users positioned in-between the two extremes. Policy changes aimed at curtailing car use may result in movements along this spectrum with increasing multimodality for car users.
"This research analyzed the competitiveness of freight tricycles, low- capacity freight delivery vehicles, as compared with diesel vans in urban areas. Freight tricycles, also known as electric-assisted trikes, are low- emission vehicles powered by a combination of human effort and an electric engine. This research developed a cost model that incorporated vehicle ownership and operation models as well as logistics constraints such as time windows, cargo capacity, fuel consumption, and energy use. Unlike previous research efforts, the model was tailored to the unique characteristics of freight tricycles and diesel van deliveries in urban areas. The model was used to analyze the competitiveness of freight tricycles against diesel- powered delivery vans. "
"This paper presents a comprehensive discussion of the value capture mechanisms that cities can and do use to help finance their public transport systems. It highlights the most important findings from the literature and adds to it with new insights gained through case studies of public transit finance in six European and American cities. The objective is to inform a lively and productive dialogue on non-fare sources of public transport finance, and ultimately to find the best ways to finance the maintenance and extension of transit service in cities around the world."
Using data from the recently released American Community Survey, this report examines population change in the 51 metropolitan areas with 1 million or more population, and focuses on the change in population in close-in neighborhoods, those places within 3 miles of the center of each metropolitan area’s primary central business district.
This work describes the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use. Preliminary results indicate that each SAV can replace around eleven conventional vehicles, but adds up to 10% more travel distance than comparable non-SAV trips, resulting in overall beneficial emissions impacts, once fleet-efficiency changes and embodied versus in-use emissions are assessed.
"AVs are already being road tested in several states and will be available for sale within five to ten years. They promise to make automobile travel safer and more efficient, and to dramatically change transportation planning and engineering. This paper assesses the most likely effect of AVs on traffic generation and highway capacity and congestion over time as AVs come to represent a greater percentage of the vehicles on the road."
"This paper advances understanding of modal shifts caused by bikesharing through a geographic evaluation of survey data collected through recently completed research. Working with surveys in two of the cities surveyed in the United States, the authors analyze the attributes of individuals who increased and decreased their rail and bus usage in a geospatial context along with the population density of respondent home and work locations. The results inform the nuances of bikesharing impacts on the modal shift of urban residents with respect to public transportation."
Between April 18 and May 9, 2014, Davis, Hibbitts & Midghall, Inc. (DHM Research) conducted an online survey of respondents living in Clackamas, Multnomah, Washington and Clark counties about their current and preferred residential and neighborhood preferences. The objective of the survey was to assess general opinions and preferences around housing and neighborhood choices and factors that may influence those choices. Portland State University and Metro developed the questionnaire with input from DHM.
In 2013, advocates, planners, and policymakers were abuzz with the 10.7 billion rides taken on transit, an all-time U.S. record. Yet the discussion focused too much on the sheer number of rides, without a deep look at the riders themselves, and particularly the changing attitudes that are propelling recent ridership increases. TransitCenter commissioned a survey to take that deeper look. We now have a snapshot into perceptions of transit and neighborhoods in 2014. As Millennials take center stage in American life and the Baby Boom generation confronts retirement, both the transit and real estate industries will have to adjust.
"In this chapter I address three commonly misunderstood aspects of vehicle automation: capability, deployment, and connectivity. For each, I identify a myth pervading public discussion, provide a contradictory view common among experts, explain why that expert view is itself incomplete, and finally discuss the legal implications of this nuance. Although there are many more aspects that merit clarification, these three are linked because they suggest a shift in transportation from a product model to a service model, a point with which I conclude."
In this report, we present a set of four alternative scenarios set in major American metropolitan areas in the year 2030. We intend that these scenarios can be used to spur and inform discussions about the key issues that the nation’s transportation planners and policymakers need to anticipate in the coming decade. And we craft the alternative futures by using the approach of four archetypes: growth, collapse, constraint and transformation.
The Young and Restless—25 to 34 year olds with a bachelor’s degree or higher level of education, are increasingly moving to the close-in neighborhoods of the nation’s large metropolitan areas. This migration is fueling economic growth and urban revitalization.
To help decision-makers understand the impact of AV technology on regional plans, modeling tools should anticipate automated vehicles’ effect on transportation networks and traveler choices.This research uses the Seattle region’s activity based travel model to test a range of travel behavior impacts from AV technology development. The existing model was not originally designed with automated vehicles in mind, so some modifications to the model assumptions are described in areas of roadway capacity, user values of time, and parking costs. Larger structural model changes are not yet considered.
Smart Mobility 2030 ITS strategic Plan for Singapore
Robotic parking will be an amenity starting in high-end buildings and becoming standard, like radios in cars, predicts local landlord Brian Veit.
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