Intensive urbanization exacerbates overheating in cities, leading to negative impacts on human health. Although numerous studies have investigated the improvement of pedestrian comfort through street-level treatments, few have examined the influence on pedestrian walkability, and the spatial extent of cooling effects from paths to adjacent areas remains unevaluated. This study assesses the cooling effects of different mitigation strategies on four thermal indicators—surface temperature (T_surf), air temperature (T_a), mean radiant temperature (MRT), and physiological equivalent temperature (PET)—using ENVI-met simulations. We employ Agent-based Models (ABM) to analyze pedestrian walkability through perceived travel time (PTT). The study focuses on two high-rise residential complexes in Suwon City, South Korea, and compares reflective pavement, single-row tree planting, and clustered tree planting mitigation strategies. Results indicate that single-row planting offers more significant cooling effects across the entire site compared to other strategies, while clustered planting improves local heat conditions. Cooling effects extend from the path to the entire block, with single-row planting reducing T_surf by up to 5.5 °C, T_a by 0.2 °C, MRT by 16.2 °C, and PET by 5.8 °C at 12.72 m away from paths during the hottest hours. ABM results suggest that single-row planting provides the best PTT reduction and can be up to 36.24 %. The proposed framework and findings provide urban designers with a data-driven approach to optimize pedestrian thermal comfort and walkability.

密集的城市化加剧了城市过热，对人类健康造成负面影响。尽管许多研究调查了通过街道处理改善行人舒适度的情况，但很少有人研究过对行人步行能力的影响，并且从路径到邻近区域的降温效果的空间范围仍未评估。本研究评估了不同缓解策略对四个热指标——地表温度 (T _surf )、气温 (T _a)、平均辐射温度 (MRT) 和生理等效温度 (PET)——使用 ENVI-met 模拟。我们采用基于代理的模型 (ABM) 通过感知旅行时间 (PTT) 来分析行人的步行能力。该研究聚焦于韩国水原市的两座高层住宅区，比较了反光路面、单排植树和丛生植树的缓解策略。结果表明，与其他策略相比，单行种植可在整个场地提供更显着的降温效果，而集群种植可改善局部热条件。降温效果从路径延伸到整个街区，单行种植可将 T _surf降低高达 5.5 °C，T _a在最热的时段，在距离路径 12.72 m 处，MRT 降低 0.2 °C，MRT 降低 16.2 °C，PET 降低 5.8 °C。ABM 结果表明，单行种植提供了最佳的 PTT 减少，最高可达 36.24%。拟议的框架和研究结果为城​​市设计师提供了一种数据驱动的方法来优化行人热舒适性和步行性。