Identification Method for Unlicensed Taxis in Urban Areas: A Case Study
Journal Title: Journal of Urban Development and Management - Year 2023, Vol 2, Issue 1
Abstract
To accurately identify unlicensed taxis, this study measured their mileage using a traffic surveillance bayonet and obtained a threshold value by fitting a function to the mileage of previously identified unlicensed taxis. Abnormal driving vehicles were identified as those with a mileage exceeding the threshold value. Through a "white list" screening process, information on suspected unlicensed taxis was obtained. An empirical analysis of City A in Anhui Province showed an identification threshold of 85.8 km for unlicensed taxis. The study identified 68 highly suspected unlicensed taxis, 513 moderately suspected unlicensed taxis, and 1595 generally suspected unlicensed taxis. Suspected unlicensed taxis had a strong correlation with taxi mileage (r=0.895, sig(2-tailed)=0), with a mean mileage of 128.5 km and standard deviation of 50.8. This mileage was less than the average taxi mileage but significantly higher than the mileage traveled by private cars (mean=25.1 km, SD=16.4). The study's contribution lies in its development of a method for accurately identifying unlicensed taxis, which has significant implications for improving transportation safety.
Authors and Affiliations
Rongqiao Li, Yun Xiao
Keywords
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- EP ID EP732632
- DOI https://doi.org/10.56578/judm020103
- Views 79
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