1. PERSONALIZED DEMAND RESPONSIVE TRANSIT SERVICE
Task Order 4102
Youngbin Yim, PATH Headquarters
ybyim@uclink.berkeley.edu,
http://www.path.berkeley.edu/PATH/General/Staff/yyim.html
This proposal is for the second year research on the personalized demand-responsive
transit (DRT) system. The goal of this study is to deploy a DRT system. Its design
is based on consumer needs and desires. In most cases, the existing SRT service is
designed from the operator's prespective without a full understanding of what types of
services would attract consumers. The proposed study is to continue the Personalized DRT
system beyond the broad assessment of the DRT needs. During the second year, we will
conduct a conjoint study to attain a deeper understanding of consumer attitudes toward DRT
and tradeoffs which consumers are willing to make between DRT and solo driving.
online papers: PWP-2000-22.pdf
Task Order 4104
Susan Shaheen, PATH Headquarters
http://www.path.berkeley.edu:81/people/staff/shaheen_susan.html
This proposal requests funding to implement and evaluate a 27-vehicle CarLink pilot program of CarLink II. PATH MOU 380 funded the initial 12-vehicle field test at Lawrence Livermore National Laboratory (LLNL) and the Bay Area Rapid Transit (BART) District (known as CarLink I). This proposal seeks to provide additional funding to 1)deploy an expanded pilot program at a new commercial employment center; 2) provide user and benefit assessments (e.g. willingness to pay) of the expanded CarLink system and new carsharing centers; 3)focus on demonstrating economic viability; and 4)explore the relative roles of public agencies and private enterprises in the deployment of carsharing systems.
3. INSTITUTIONAL ASPECTS OF MULTI-AGENCY TRANSIT OPERATIONS
Task Order 4105
Mark Miller, PATH Headquarters
mamiller@uclink.berkeley.edu, http://www.path.berkeley.edu/PATH/General/Staff/miller.html
The primary goals of the proposed research are 1)to identify and investigate the institutional aspects of multi-organizational transit operations in the U.S., 2)to develop a generic model or set of models for California, and 3)to understand the role that intelligent transportation systems can play in this environment.
4. BENCHMARKING BEST PRACTCES OF DEMANDING RESPONSIVE TRANSIT
Task Order 4108
Maged Dessouky, University of Southern California
maged@usc.edu
The objective of this research is to build on prior work and conduct a comprehensive international and natioanl study to quantify the impact of APTS technologies and management practices upon the operating cost, productivity, and effectiveness of on-demand paratransit systems.
Task Order 4111
R. Jayakrishnan, University of California, Irvine
rjayakri@uci.edu, www.eng.uci.edu/civil/faculty/jay/index.html
The research will develop and evaluate a new concept for implementable high-coverage demand-responsive transit systems, which rely on real-time communication and computing technologies, and advanced routing algorithms for efficient operation. The research relies on the premise that the failure of earlier demand-responsive transit systems stemmed from low passenger demands caused by excessive waiting time for patrons, poor coverage of the networks by demand-responsive vehicles, and poor computational algorithms and routing capabilities.
Task Order 4114
Maged Dessouky, University of Southern California
maged@usc.edu
The focus of this project is to study the obstacles and impediments to implementing ITS technologies for personalized public transit and demand-responsive system such as shared ride taxi service and paratransit. A review of past experiences of services providers will help in the evaluation of the costs and effectiveness of adapting existing ITS technologies to personalized public transit systems. The intent is to identify cost-effective strategies.
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