Chapter
Apr 26, 2012
Identifying Key Factors Affecting Students' Travel Modes Using the Multi-Perspectives Diagnosis Approach
Authors: Huaguo Zhou [email protected], Peter Hsu [email protected], and Shaoqiang ChenAuthor Affiliations
Publication: Traffic and Transportation Studies 2010
Abstract
In this paper, survey data of students' travel modes from both parents and students were collected at 18 schools (16 elementary and 2 middle schools) in Pinellas County, Florida. A new diagnosis approach was used to pin down the factors significantly affecting students' travel modes. Multi-perspective diagnosis results identified different factors that significantly affect the walking/biking rate for different groups of students. Generally, students living in different distance intervals are subject to different barriers. Security and safety are the primary factors of concern for short distance interval people, while distance is the primary factor of concern for those who live farther away from the school. The multi-perspectives diagnosis proved to be an effective method to mathematically search for the necessary-sufficient condition for increasing students' walking/biking rate.
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© 2010 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Buildings
- Business management
- Data collection
- Diagnosis
- Education
- Engineering fundamentals
- Facilities (by type)
- Forensic engineering
- Infrastructure
- Mathematics
- Methodology (by type)
- Practice and Profession
- Public administration
- Public buildings
- Public health and safety
- Research methods (by type)
- Safety
- School (K-12)
- School buildings
- Structural engineering
- Structures (by type)
- Students
- Traffic engineering
- Transportation engineering
- Travel modes
Authors
Affiliations
Assistant Professor, Department of Civil Engineering, Southern Illinois University Edwardsville, Edwardsville, IL 62026-1800.E-mail: [email protected]
District Safety Program Engineer, Florida Department of Transportation, 11201 N McKinley Dr. Tampa, Florida 33612.E-mail: [email protected]
Shaoqiang Chen
Graduate Research Assistant, Center for Urban Transportation Research, University of South Florida, 4202 E. Fowler Ave., Tampa, FL 33620
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