Details:

Creators:
Ryerson, Megan ; Tereshchenko, Ivan
Ryerson, Megan ; Tereshchenko, Ivan Less -
Corporate Contributors:
Carnegie-Mellon University ; University of Pennsylvania ; University Transportation Centers Program (U.S.)
Carnegie-Mellon University ; University of Pennsylvania ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:
[+]
Attitudes Intelligent Vehicles Intercity Passenger Cars Intercity Transportation Intercity Travel Mode Choice Travel Behavior
Resource Type:
Tech Report
Geographical Coverage:
United States
Corporate Publisher:
University Transportation Centers Program (U.S.)
Abstract:
The autonomous vehicles are about to become a reality. The researchers estimate the benefits from each autonomous vehicle to be between $2000 and $4500 per vehicles. The

societal benefits include higher travel time savings, reduced congestion, fuel consumption, lower rate of traffic accidents. However, as with any disruptive technology, autonomous vehicles bring a number of difficult challenges, such as the need to prepare the transportation system for the new technology. Research by T-­‐SET professor Erick Guerra shows that planning organizations and local governments – those who plan for large scale investment into the existing infrastructure in the United States – are struggling account for the

introduction of new intercity transportation technology, such as autonomous vehicles, in their plans. This is particularly true for the planning of intercity transportation, as

the planning for intercity transportation is done in a fragmented, modally siloed way. Thus, the potential impact of driverless vehicles on the structure of the intercity transportation system is therefore unknown, yet positioned to be significant. One of the primary objectives of this study was to create a model of traveler behavior for intercity travel that takes the information about personal attitudes and norms into account. A large body of literature show that such models should include socio-­‐demographic variables, such as age, gender and

income, as well as personal attitudes towards travel and life, such as feeling of dependence

on cars, concerns about safety and flexibility of schedules. The researchers use the general

framework of the Theory of Planned Behavior (TPB) to account for these variables. The main idea

behind this theory is that the behavior can be explained by the personal intentions, which

in turn can be explained by a set of attitudes, subjective norms and behavioral controls.

By studying the attitudes, norms and controls we can create accurate models of intentions

and future behavior. The main research problem of this study is to analyze the factors that influence the propensity to use autonomous vehicles in the future. The study aims at incorporating the information about personal attitudes into the model of future travel

behavior. This is one of the first studies that applies TPB to modeling the intercity travel behavior.


Format:
PDF
Funding:
Contract No. DTRT12GUTG11
Collection(s):
US Transportation Collection University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:15e0f3d922a4d58f96b6056fbd23790fd0642c875c5a0380e610cfe13da49d59
Download URL:
https://rosap.ntl.bts.gov/view/dot/31312/dot_31312_DS1.pdf
File Type:

Supporting Files

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