Accounting for site-selection bias in before–after studies for continuous distributions: Characteristics and application using speed data

• Published in: Transportation research. Part A, Policy and practice Vol. 49; pp. 256 - 269
• Main Authors: Kuo, Pei-Fen, Lord, Dominique
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.03.2013; Elsevier
• Subjects: ANCOVA; Applied sciences; Before–after study; Exact sciences and technology; Ground, air and sea transportation, marine construction; Normal distribution; Policy; Regression-to-the-mean; Road transportation and traffic; Site selection bias; Transportation planning, management and economics; Vehicle speed; USA, Florida; Policy; ANCOVA; Regression-to-the-mean; Before–after study; Vehicle speed; Site selection bias; Normal distribution; Script; Speed; Data analysis; Before and after study; Simulation; Characteristics; Site selection; Before-after study; Traffic management; Traffic safety; Step by step method; Road traffic; Computing method

► Before–after studies can be plagued by important methodological limitations. ► This study presents a method that can reduce selection effects. ► The study was accomplished using simulated and observed speed data. ► Entry criteria, between-subject and within-subject variances affect the bias. ► The...