Comparison of clustering results between traditional taxis and e-hailing cars on weekdays (IMAGE)
Caption
On weekdays, the spatial distribution of clustering results reveals distinct patterns between traditional taxis and e-hailing cars when K=6. The clusters of traditional taxis align closely with areas of higher road network density (Figure 9a), while e-hailing car clusters correspond more strongly to county-level administrative divisions (Figure 9b). Notably, e-hailing cars form only one cluster on Xiamen Island despite the island comprising two administrative districts—Huli District and Siming District. As the central urban area of Xiamen, Huli and Siming Districts are adjacent and share an interconnected transportation network, whereas Haicang, Jimei, Tong’an, and Xiang’an Districts are separated by distinct geographical boundaries. This structural difference may explain the observed clustering pattern.
Additionally, a cluster emerges in Region B, located at the northeastern junction of Tong’an and Xiang’an Districts. This area is relatively distant from urban core of Xiamen Island and remains underdeveloped. Traditional taxis, which predominantly operate in high-demand zones, are less inclined to serve Region B. Consequently, e-hailing cars—operating under a "people looking for vehicles" model—may dominate this region, partially alleviating the local supply-demand imbalance.
Credit
Beijing Zhongke Journal Publising Co. Ltd.
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