Though building-scale energy demand and indoor thermal comfort have been extensively covered by recent studies, the automation of middle- and larger-scale outdoor microclimate evaluation in parametric design is less covered. The relatively slow computation and the need for sophisticated expertise are some of the current issues. This paper proposes a Rhino–Grasshopper custom script to automatically compute spatial indicators for a quick thermal comfort estimation. The Galapagos evolutionary algorithm is used to optimize thermal comfort and select the best combinations of spatial indicators. In a summer case study located in Shantou, China, the proposed workflow was three times faster than a non-automated indicator calculation in ArcGIS, while the optimization method achieved 25% to 33% reduction in land areas under extreme heat stress. This automated process applies to existing states and new urban designs. It is adaptable to customized prediction models under different climatic zones.

Public spaces are essential for the implementation of child-friendly principles and the development of child-friendly cities, with positive and healthy environments playing a crucial role in supporting children’s well-being and development. However, existing research on child-friendly public spaces predominantly targets economically developed urban areas with robust public service infrastructure, often neglecting rural areas with less advanced facilities. This study utilizes grounded theory and qualitative analysis to propose a child-friendly public space evaluation framework specifically for rural settings. The framework includes four primary indicators—safety, accessibility, comfort, and multifunctionality—and 19 secondary indicators, such as facility safety and plant safety. An empirical investigation was conducted in Baishoupu Town, a child-friendly pilot area within Changsha, China, which is designated as a United Nations Child-Friendly City, and the study encompassed an analysis of 11 rural villages within this area. The findings reveal that while Baishoupu Town demonstrates a relatively high level of child-friendly development, there is significant disparity among individual villages. Key determinants affecting the child-friendliness of rural public spaces include the type of rural industry, per capita income levels, and the degree of policy support. Specifically, the advancement of public service infrastructure and the tourism sector significantly influence the primary indicators. Moreover, while rural road infrastructure is positively correlated with accessibility, the presence of through traffic adversely affects safety indicators. Based on these insights, this study recommends enhancing child-friendliness in rural public spaces through strategic village planning, spatial design improvements, and ensuring child participation. This research provides valuable insights for government policy development and implementation and offers a replicable framework for child-friendly public space development in rural areas globally.

This study presents an innovative approach to mitigating the urban heat island (UHI) effect by constructing a cold island spatial pattern (CSP) from the perspective of landscape connectivity, integrating three-dimensional (3D) urban morphology and meteorological factors for the first time. Unlike traditional studies that focus on isolated patches or single-city scales, we propose a hierarchical framework for urban agglomerations, combining morphological spatial pattern analysis (MSPA), landscape connectivity assessment, and circuit theory to a construct CSP at the scale of urban agglomeration. By incorporating wind environment data and 3D building features (e.g., height, density) into the resistance surface, we enhance the accuracy of cooling network identification, revealing 39 cold island sources, 89 cooling corridors, and optimal corridor widths (600 m) in the Changsha–Zhuzhou–Xiangtan urban agglomeration (CZXUA). Ultimately, a three-tiered heat island mitigation framework for urban agglomerations was established based on the CSP. This study offers an innovative perspective on urban climate adaptability planning within the context of contemporary urbanization. Our methodology and findings provide critical insights for future studies to integrate multiscale, multidimensional, and climate-adaptive approaches in urban thermal environment governance, fostering sustainable urbanization under escalating climate challenges.

Pedestrian commercial streets are an important part of a city. However, the open outdoor street is easily affected by the external climate, and a poor microclimate environment can indirectly affect the volume of visitors to the commercial street. This paper takes pedestrian commercial streets in regions with hot summers and cold winters as the research object in order to obtain reasonable prototypes of street space. Adopting the experimental method of controlling variables, microclimate simulation analysis is conducted on different street flow lines, various locations of open space, and the different greening arrangements of typical street spaces. This paper also proposes design strategies for improving the microclimate environment, such as reserving ventilation passages in the dominant wind direction, setting up air buffer areas to increase the “wind storage” effect, building an open space in the upwind direction to increase the “wind absorption” effect, preventing planar greening space from hindering airflow in streets with poor ventilation, and establishing planar green space in the upwind direction to increase the coverage of the cooling effect of plants. In this paper, comfort in the outdoor microclimate comfort is taken into consideration in commercial street design, aiming to achieve the revitalization of commercial streets through “micro renovation” and provide some reference for the future design of commercial streets.