Community-Based Assessment of Smart Transportation Needs in the City of Portland

Citation data:

Civil and Environmental Engineering Faculty Publications and Presentations

Publication Year:
2017
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Repository URL:
https://works.bepress.com/miguel_figliozzi/114; https://pdxscholar.library.pdx.edu/trec_briefs/10; http://works.bepress.com/miguel_figliozzi/63; https://pdxscholar.library.pdx.edu/trec_briefs/67; https://works.bepress.com/joanna-ganning/23; https://pdxscholar.library.pdx.edu/cengin_fac/177; https://pdxscholar.library.pdx.edu/trec_briefs/19; https://pdxscholar.library.pdx.edu/trec_reports/36; https://pdxscholar.library.pdx.edu/trec_reports/129; https://pdxscholar.library.pdx.edu/trec_briefs/11; https://works.bepress.com/miguel_figliozzi/112; https://pdxscholar.library.pdx.edu/trec_briefs/40; https://pdxscholar.library.pdx.edu/usp_fac/121; https://pdxscholar.library.pdx.edu/trec_reports/168; https://pdxscholar.library.pdx.edu/open_access_etds/1026
DOI:
10.15760/trec.204; 10.15760/etd.1026; 10.15760/trec.32; 10.15760/trec.117; 10.15760/trec.165; 10.15760/trec.139
Author(s):
Golub, Aaron; Serritella, Michael; Satterfield, Vivian; Singh, Jai
Publisher(s):
Portland State University Library
Tags:
Transportation -- Planning; Sustainable urban development; City planning; Urbanization; Pedestrians -- Attitudes; Signalized intersections -- Research; Traffic flow -- Research; Automobile drivers -- Behavior -- Analysis; Pedestrians -- Safety measures -- Technological innovations; People with disabilities -- Transportation; Shrinking cities; Sustainability; Traffic signs and signals -- Control systems; Intelligent transportation systems; Transportation -- Oregon -- Portland Metropolitan Area -- Planning; Transportation -- Planning -- Curriculum; Commuting -- Oregon -- Portland; Well-being; Choice of transportation -- Psychological aspects; Happiness; Transportation; Urban Studies; Urban Studies and Planning; Other Psychology; Civil Engineering; Environmental Engineering
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report description
NITC researchers from Portland State University developed models to find what factors affected vehicles’ compliance with pedestrian safety laws. The results suggest that treatments discouraging accelerating toward a crosswalk could help increase pedestrian safety.