A Regression Discontinuity-Based Approach for Evaluating the Effect of Exclusive Bus Lanes on Average Vehicle Speeds

Shaopeng Zhong () and Daniel (Jian) Sun ()
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Shaopeng Zhong: Dalian University of Technology
Daniel (Jian) Sun: Chang’an University

Chapter Chapter 4 in Logic-Driven Traffic Big Data Analytics, 2022, pp 73-96 from Springer

Abstract: Abstract An exclusive bus lane (EBL) policy is the most common and effective bus priority policy, and therefore EBL policies have been implemented in many cities worldwide. This implementation leads to the redistribution of road resources and thus affects buses and other social vehicles to various extents. It is crucial to determine the magnitudes of these effects to enable optimal EBL implementations, but most previous methods that do so are based on simulation experiments and theoretical models, which cannot accurately reproduce real-world road situations. Thus, in this chapter, we propose an EBL evaluation method based on regression discontinuity (RD) analysis, which quantitatively evaluates the effect of an EBL on the speeds of two common types of vehicles: buses and social vehicles. As an example, we analyze the effect of an EBL implementation by examining bus and taxi global positioning system data from Shennan East Road in Shenzhen, China. The results show that after the EBL opening time, the average speed of buses increases by 8.2% and the average speed of taxis decreases by 9.9%, whereas after the EBL closing time, the average speed of buses decreases by 10.0%, and the average speed of taxis increases by 25.9%. Based on these results, we conclude that the closing time of the EBL on Shennan East Road should be delayed to maximize bus speeds at peak usage times.

Keywords: Regression discontinuity; Exclusive bus lane; Policy assessment; Floating car data (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-8016-8_4

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DOI: 10.1007/978-981-16-8016-8_4

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