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District 6 Data
Collection Fund
In 2004, ITE District 6 created a Data Collection Fund to
encourage Student Chapter involvement with the profession.
This program is specifically aimed at creating interest in
transportation through practical activities and mentoring.
Purpose of Data Collection Fund
- Facilitate ITE Student Chapter activity and
student mentoring by transportation professionals (retired
or active).
- To generate relevant technical data in the
west for transportation engineers and planners
- Focus on practical, day-to-day, minor research
in transportation engineering and planning. Samples could
include trip generation counts, parking generation surveys,
truck generation counts, highway capacity research data
collection (saturation flows, freeway per lane flows, travel
time data, stop sign compliance, right turn on red), new
start LRT ridership surveys of previous mode, vehicle maneuvering
characteristics in parking lots, before/after data studies
of: transportation projects, traffic calming measures, traffic
signal systems, ITS measures, pedestrian crossings, bicycle
paths, transit stop measures, etc…
- All efforts will focus on collection of basic
data. The activities shall not involve development of standards,
manuals or recommendations. While this collected data may
be utilized by others to pursue these efforts, the purpose
of this program is only collection and presentation of data
and the desire to help generate additional research interest
in these areas through initial data collection.
- Expose students to typical project process
utilized in the profession (RFP, proposal, selection of
top proposals, task development, budgeting, teamwork, report
writing, review process, presentations)
- Provision of funds to ITE Student Chapters
to offset costs of activities (such as attendance at District
6 ITE Annual meetings)
Selection Process
The District 6 Board allocates funds annually for this program
and a Request for Proposals is issued in the fall. Awards
of Data Collection Fund activities are made before the end
of the calendar year by District 6. Data collection projects
can begin in the winter and must be completed by June 1 of
the year. Requirements are a brief abstract (1-3 page Word
document) summarizing the data collected and the actual data
(typically in a spreadsheet).
2009
DATA FUND RFP
2008 Data Collection Fund
Reports
- Brigham Young University Trip Generation
for an Average Elementary School in Provo, Utah; Report
- University of Nevada Reno Trip and
Parking Generation for Gas Stations with Fast-Food Service;
Report
- University of Washington - Trip and Parking
Generation for Coffee Shops with Drive-Through Service;
Report
- University of Wyoming Trip and Queuing
Generation for Coffee Shops with Drive-Through Service;
Report
- University of California of Los Angeles
Trip Generation for Urban Residential Developments; Report
2007 Data Collection Fund
Reports
- Portland State University Transit
& Mode Split Study for Transit-Oriented Development;
Report;
Process;
Data
- University of Nevada Reno (two grants) -
Multiplex Theaters; Data
- Coffee store/kiosk Trip and Parking Generation; Data1;
Data2;
TG Forms
- University of Washington Coffee store/kiosk
Trip and Parking Generation; TG
Forms; Data1;
Data2
- Brigham Young University Small Office
Trip and Parking Generation; TG
Forms; Data
2006 Data Collection Fund
Reports
- University of Hawaii - Calibration
of Capacity Parameters for Signalized Intersections in Hawaii;
Abstract;
Data1;
Data2;
Data3;
Data4;
Data5
- Portland State University Saturation
Flow Rates at Signalized Intersections with High Pedestrian
Volumes; Abstract;
Report
- California State University
Sacramento. Parking Generation of Multiplex Theaters; Data;
Report
- Portland State University Parking
Generation of Multiplex Theaters; Data;
Report
2005 Data Collection Fund
Reports
- University of Idaho; Right-Turn-On-Red Field
Data Collection; Summary;
Data
- Montana State University; Trip Generation
Characteristics of Drive Thru Coffee Stands; Summary;
Summary2;
Data
- Portland State University; Establishing Pedestrian
Walking Speeds; Summary;
Data
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