Instead of standard left-turn pockets, compromised configurations such as shared left-turn and through lane or left-turn lane traps catering to urban planners’ planted median design may lead to unsafety. These nonstandard configurations induce unnecessary mandatory or discretionary lane changes that give rise to rear-end and sideswipe risks. This study aims to quantify the safety effects of left-turn lane installation by incorporating traffic engineering elements into the regression formulae. Some challenges are handled: (1) analyzing treatment effects with limited samples; (2) without a safety performance function, applying the proposed “bias-immune window” to account for regression-to-the-mean; and (3) enhancing the quality of estimation, including capturing time trend effects. Apart from difference-in-difference (DD), this study has analyzed the effects of fundamental traffic engineering elements, including continuity of mainstream traffic and mainstream smoothness. Conventional DD yields a crash modification factor (CMF) of installing the left bay on sideswipe collisions with a value of 0.33. Likewise, the proposed method suggests CMF of mainstream continuity from desirable lane configuration on sideswipe with a value of 0.422. On the other hand, although conventional DD failed to determine the treatment effect on rear-end collisions, the proposed engineering-based analysis can identify mainstream smoothness offered by the left-turn bay with a CMF of 0.279. With the quantitative results, traffic engineers have a solid basis for prioritizing left-turn lane installation.
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San-ya et al. (2026) studied this question.
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