Enhancing Plant Diversity and Coloration Along Urban Roads Through Transportation Node Landscape Greening

(1) Background: As a central element of plant configuration and the ornamental performance of pedestrian refuge islands, quantitative color analysis provides a novel approach to evaluating landscape plant diversity. (2) Methods: Using spring and winter survey data on plant diversity, color, and traffic flow, we analyzed the spatiotemporal gradients of plant communities. (3) Results: A total of fifty-three species were documented across 17 islands. The predominant species is Eleusine indica (L.) Gaertn., with a utilization frequency of 9. The foliage exhibits 28 standard colors across both seasons, with winter featuring three color series and 13 hues (blackness 20%–80%), and spring featuring two series and 11 hues (blackness 10%–60%). Quantitative traits and alpha diversity are ranked as follows: herb layer > shrub layer > arbor layer. There is a positive correlation between community alpha diversity and cycle length. Additionally, the mean blackness in spring is significantly positively correlated with pedestrian flow and the density of green light slow-traffic, whereas the mean chromaticness in winter correlates with the green split ratio. (4) Conclusions: The presence of diverse horticultural plants contributes to vibrant landscapes with distinct seasonal dynamics on the pedestrian refuge islands of urban Xinyang. Furthermore, slow-moving traffic at intersections is identified as a key anthropogenic factor influencing patterns of roadside plant diversity.

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