conference paper

How do they get by without cars in california?: Travel characteristics of voluntarily and involuntarily carless households

Proceedings of the 98th annual meeting of the transportation research board

Publication Date

January 1, 2019

Abstract

In spite of their increasing number in the U.S., our understanding of the travel behavior of households who do not own motor vehicles (labeled â??carlessâ?? herein) is sketchy. The goal of this paper is to start filling this gap for California. The authors perform parametric and non-parametric tests to analyze trip data from the 2012 California Household Travel Survey (CHTS) after classifying carless households as voluntarily carless, involuntarily carless, or unclassifiable based on a CHTS question that inquires why a carless household does not own any motor vehicle. The authors find substantial differences between voluntarily and involuntarily carless households. Compared to their voluntarily carless peers, involuntarily carless households travel less frequently, their trips are longer and they take more time, partly because their environment is not as well adapted to their needs. They also walk/bike less, depend more on transit, and when they travel by motor vehicle, occupancy is typically higher. Their median travel time is also longer, but remarkably, it is similar for voluntarily carless and motorized households. Overall, involuntarily carless households are less mobile, which may contribute to a more isolated lifestyle with a lower degree of well-being. Compared to motorized households, carless households rely a lot less on motor vehicles and much more on transit, walking, and biking. They also take less than half as many trips and their median trip distance is less than half as short. This study is a first step toward better understanding the transportation patterns of carless households.

Suggested Citation
Suman K. Mitra and Jean-Daniel M. Saphores (2019) “How do they get by without cars in california?: Travel characteristics of voluntarily and involuntarily carless households”, in Proceedings of the 98th annual meeting of the transportation research board, p. 7p.

conference paper

MitM attack by name collision: Cause analysis and vulnerability assessment in the new gTLD era

2016 IEEE symposium on security and privacy (SP)

Publication Date

May 1, 2016

Author(s)

Qi Alfred Chen, Eric Osterweil, Matthew Thomas, Z. Morley Mao
Suggested Citation
Qi Alfred Chen, Eric Osterweil, Matthew Thomas and Z. Morley Mao (2016) “MitM attack by name collision: Cause analysis and vulnerability assessment in the new gTLD era”, in 2016 IEEE symposium on security and privacy (SP). IEEE, pp. 675–690. Available at: 10.1109/sp.2016.46.

published journal article

Employer-paid parking, mode choice, and suburbanization

Journal of Urban Economics

Publication Date

March 1, 2018

Author(s)

Jan Brueckner, Sofia F. Franco
Suggested Citation
Jan K. Brueckner and Sofia F. Franco (2018) “Employer-paid parking, mode choice, and suburbanization”, Journal of Urban Economics, 104, pp. 35–46. Available at: 10.1016/j.jue.2017.12.002.

published journal article

Evaluation of effectiveness of automated work zone information systems

Transportation Research Record

Publication Date

January 1, 2005
Suggested Citation
Lianyu Chu, Hee-Kyung Kim, Younshik Chung and Will Recker (2005) “Evaluation of effectiveness of automated work zone information systems”, Transportation Research Record, 1911(1), pp. 73–81. Available at: 10.1177/0361198105191100108.

conference paper

Distributed approach to network-wide traffic control management

Proceedings of the international conference on applications of advanced technologies in transportation engineering

Publication Date

January 1, 1998
Suggested Citation
Filippo Logi and Stephen G. Ritchie (1998) “Distributed approach to network-wide traffic control management”, in Proceedings of the international conference on applications of advanced technologies in transportation engineering, pp. 83–90.

conference paper

Integrated mode choice and dynamic traveler assignment-simulation framework to assess the impact of a suburban first-mile shared autonomous vehicle fleet service on transit demand

Proceedings of the 97th annual meeting of the transportation research board

Publication Date

January 1, 2018

Author(s)

Helen Karla Ramalho de Farias Pinto, Michael Hyland, İ �mer Verbas, Hani Mahmassani

Abstract

The emergence and adoption of fully-autonomous vehicles (AVs) and AV-enabled mobility services are expected to significantly impact transit demand in urban and suburban areas. This paper focuses on assessing the impact of a suburban first-mile shared-ride AV (SAV) transit feeder system on transit and SAV demand. To complete this task, the authors introduce an integrated mode choice and dynamic traveler assignment-simulation modeling framework that explicitly models the dynamics of, and congestion in, the transit network and SAV system. First, the authors present a mathematical formulation of the integrated mode choice and dynamic traveler assignment problem. The problem is analytically intractable; therefore, the authors present a simulation-based, iterative, bi-level solution approach. The iterative bi-level solution approach is required because the modal flows are dependent on the transit, road, and SAV system performances; yet, these system performances are dependent on the modal flows. In the iterative modeling framework, the upper level assigns travelers to one of five modes: car, park-and-ride, transit, SAV, or transit with SAV feeder. The lower level, both (1) iteratively determines minimum cost transit hyperpaths, assigns travelers to hyperpaths, and simulates their experiences, and (2) simulates an SAV fleet providing service to suburban travelers. Time-dependent network performance skims are then fed to the mode choice model. This process repeats until the mode choice probabilities converge. This integrated modeling framework, which endogenously determines traveler mode choice as well as transit and SAV system performance, provides transportation planners and modelers a powerful tool to test various scenarios related to AV-enabled mobility services.

Suggested Citation
Helen Karla Ramalho de Farias Pinto, Michael F. Hyland, İ Ã?mer Verbas and Hani S. Mahmassani (2018) “Integrated mode choice and dynamic traveler assignment-simulation framework to assess the impact of a suburban first-mile shared autonomous vehicle fleet service on transit demand”, in Proceedings of the 97th annual meeting of the transportation research board, p. 9p.

published journal article

Automated detection of lane-blocking freeway incidents using artificial neural networks

Transportation Research Part C: Emerging Technologies

Publication Date

December 1, 1995
Suggested Citation
Ruey L. Cheu and Stephen G. Ritchie (1995) “Automated detection of lane-blocking freeway incidents using artificial neural networks”, Transportation Research Part C: Emerging Technologies, 3(6), pp. 371–388. Available at: 10.1016/0968-090x(95)00016-c.

published journal article

Unifiable multi-commodity kinematic wave model

Transportation Research Part B: Methodological

Publication Date

November 1, 2018

Author(s)

Suggested Citation
Wen-Long Jin (2018) “Unifiable multi-commodity kinematic wave model”, Transportation Research Part B: Methodological, 117, pp. 639–659. Available at: 10.1016/j.trb.2017.08.013.

book/book chapter

Transit in American Cities

Publication Date

January 1, 1986
Suggested Citation
Gordon J Fielding (1986) “Transit in American Cities”, in The Geography of Urban Transportation. 2nd ed. New York: Guilford Press, pp. 229–246.