An effective community landscape design consistently impacts thermally comfortable outdoor conditions and climate adaptation. Therefore, constructing sustainable communities requires a resilience assessment of existing built environments for optimal design mechanisms, especially the renewal of thermally resilient communities in densely populated cities. However, the current community only involves green space design and lacks synergistic landscape design for renewing the central community. The main contribution of this study is that it reveals a three-level optimization method to validate the Synergistic Landscape Design Strategies (SLDS) (i.e., planting, green building envelope, water body, and urban trees) for renewing urban communities. A typical Japanese community in central Komatsu City was selected to illustrate the simulation-based design strategies. The microclimate model ENVI-met reproduces communities involving 38 case implementations to evaluate the physiologically equivalent temperature (PET) and microclimate condition as a measure of the thermal environments in humid subtropical climates. The simulation results indicated that the single-family buildings and real estate flats were adapted to the summer thermal mitigation strategy of water bodies and green roofs (W). In small-scale and large-scale models, the mean PET was lowered by 1.4–5.0 °C (0.9–2.3 °C), and the cooling effect reduced mean air temperature by 0.4–2.3 °C (0.5–0.8 °C) and improved humidification by 3.7–15.2% (3.7–5.3%). The successful SLDS provides precise alternatives for realizing Sustainable Development Goals (SDGs) in the renewal of urban communities.

Variable canyon building morphology and neighborhood configurations affect pedestrian habits and comfort, and cold weather limits pedestrian mobility in the city. The orientation and aspect ratio of a canyon significantly affect the thermal comfort and microclimatic conditions of outdoor pedestrians. This study evaluated thermal comfort and microclimate conditions in an asymmetric canyon (aspect ratio $\lt 0.5)$ within the East Square of Komatsu Station, Japan. The method combines ENVI-met numerical simulations and site measurements to derive thermal comfort ranges at the highest and lowest winter temperatures through the physiologically equivalent temperature (PET) thermal index. The results showed that the optimal comfort zone was on the south side of the E-W canyon, with a higher distribution of thermal comfort levels in the S-N orientation. The mean PET index was $17^{\circ}\mathrm{C}$ at the highest temperature, and it was $4.48^{\circ}\mathrm{C}$ at the lowest temperature. Meanwhile, there is a significant difference between the thermal comfort and mean radiation temperature (Tmrt) between day and night. Interestingly, the thermal comfort index PET distribution showed that the southern side of the seating area was consistent with the winter's optimal horizontal thermal comfort zone. The mean PET index was kept between $9.69^{\circ}\mathrm{C}$ and $11.77^{\circ}\mathrm{C}$, indicating that physiological stress at the moderate cold level in the asymmetric canyon (E-W direction) is challenging to maintain pedestrians' thermal balance and comfort in windy winter weather. As one of the typical urban canyon morphologies, the evaluation results of winter thermal comfort and microclimate in the asymmetric canyon will provide an important reference for the climate-sensitive design and planning of the local urban environment.

Parametric simulation is an effective engineering tool for addressing sustainability challenges, yet small-scale thermal comfort assessment remains limited by plugin-hybridizing complexities and workflow inefficiencies. To address these limitations, here we propose a novel comparative workflow that integrates Lands Design and Dragonfly with the assistance of Ladybug-only (LB) and Honeybee (LB&HB) in the Grasshopper model to predict the Universal Thermal Climate Index (UTCI) as the primary indicator. A playground was selected as a sample site to provide a comprehensive training dataset for the extremely hot summer period. Sensitivity analysis was conducted to assess the impact of input uncertainties on model predictions, and the simulation model’s performance was validated against urban–rural microclimate parameters and the calculated UTCI. Among the microclimate results tested, the wind speed and air temperature predictions achieved the highest accuracy (STDE: 0.10 m/s, 0.20 °C). The UTCI simulation of the LB workflow exhibited a strong correlation between calculated UTCI values (R² = 0.90; p = 0.03). Moreover, the agreement between the LB and LB&HB workflows was strong, with simulated UTCI showing good consistency (R² = 0.70–0.80; r = 0.85–0.88). This framework successfully enables real-time UTCI heatmap analysis in simplified cubic neighborhoods. Additionally, it improves the temporal and spatial resolution of thermal predictions, providing designers with critical insights into the algorithms implemented in new workflows to facilitate urban simulation and parametric sustainability.

With the extremely climate phenomena caused by global heat waves and the urban heat island effect, how to realize low-cost construction of bioclimatic localism architectural design (BLAD) in low-level urban environments to improve the overall microclimate environment has become an urgent and strategic issue to address in sustainability environmental investigations. This paper uses the ENVI-met numerical simulation for a women’s house in southern Senegal, Africa, as an example of a local architectural design strategy. The coefficient of determination (R²) and root-mean-square error (RMSE) are used as quantitative evaluation criteria to validate the baseline model’s model accuracy and explore the optimized performance of the ENVI-met model with different simulation heights and implementation scales for microclimate environments. Simulation results showed that the optimal scenario reduces air temperature (Ta) by a maximum of 0.4 ℃ and mean radiant temperature (Tmrt) by 17 ℃; the BLAD scenario has a lesser effect on large-scale temperature regulation, and the optimal mitigation time is during the afternoon. The architectural design provides better ventilation and shading for the residents during summer, which reduces the potential risk of exposure to thermal radiation influenced by the savanna climate.