Global climate change and intensifying heat islands have reduced human thermal comfort and health in urban outdoor environments. However, there has been little research that has focused on how microclimates affect human thermal comfort, both psychologically and physiologically. We investigated the effect of a range of landscape microclimates on human thermal comfort and health using questionnaires and physiological measurements, including skin temperature, skin conductance, and heart rate variability, and compared the results with the effect of prevailing climate conditions in open spaces. We observed that in landscape microclimates, thermal sensation votes significantly decreased from 1.18 ± 0.66 (warm–hot) to 0.23 ± 0.61 (neutral–slightly warm), and thermal comfort increased from 1.18 ± 0.66 (uncomfortable–neutral) to 0.23 ± 0.61 (neutral–comfortable). In the landscape microclimates, skin temperature and skin conductance decreased 0.3 ± 0.8 °C and 0.6 ± 1.0 μs, respectively, while in the control, these two parameters increased by 0.5 ± 0.9 °C and 0.2 ± 0.7 μs, respectively. Further, in landscape microclimates, subject heart rate variability increased significantly. These results suggest landscape microclimates improve human thermal comfort and health, both psychologically and physiologically. These findings can provide an evidence base that will assist urban planners in designing urban environments for the health and wellbeing of residents.

The scientific siting of urban parks is critical for sustainable urban environment development, and this study aimed to identify suitable areas for future urban parks in Nanjing, China. This study has integrated geographic information systems (GIS) and fuzzy hierarchical analysis (F-AHP) in order to evaluate the suitability of the site selection of urban parks in Nanjing, China. Different physical, natural, environmental, accessibility, and human activity factors were evaluated in order to assess the suitability of a park site. The results revealed that 5% were highly suitable for urban park site selection, 36% were more suitable, 32% were moderately suitable, 19% were less suitable, and 8% were unsuitable for urban park site selection. The findings suggest that the areas that are highly suitable for urban park placement are located in the western and eastern parts of Nanjing. Carbon storage was the most important factor in the suitability of urban park site selection, followed by the normalized difference vegetation index (NDVI) and the heat-island effect. The methodology that has been adopted in this study helps to improve the methodological framework of combining F-AHP and GIS; in addition, generating urban park site selection maps assists planners and decision-makers in making scientific site selection decisions.

Visitor tracking combined with space analysis has recently emerged as a method for understanding the relationship between visitor temporal–spatial behaviour and spatial features. In this study, 353 visitors were tracked using handheld GPS data loggers to enable calculation of visiting proportion, average time, and average speed in each space within the Lion Grove. Using ArcGIS to superimpose tracks and conduct a kernel density analysis, the popular and less-popular spaces were determined. The characteristics of the different spatial features were then analysed using Depthmap. The Spearman correlation was then employed to analyse the relationship between visitor temporal–spatial behaviour and the characteristic values of different spaces. The results demonstrate that walking accessibility decides the probability of a first-time visit, while the main factors attracting visitors to stay depends on the visual characteristics of the space, such as visual accessibility and visual permeability.

Suzhou city was the cultural centre of ancient south China. It continues the urban pattern of more than 800 years ago. Suzhou gardens are the essence of Chinese gardening art, as well as the valuable world cultural heritage site. This paper compared the evolution in the distribution and scale of Suzhou gardens among five historical periods, and discussed the influence of urbanization on gardening. It revealed that: (1) The distribution of Suzhou gardens was affected by the layout and changes of the political centre and commercial centre of Suzhou city; (2) The scale of Suzhou gardens was mainly affected by the available land scale within the city and the wealth of its owner; (3) The cityscape of ‘half city occupied by gardens’ was largely resulted from the rapidly increasing number of small courtyard gardens in the Qing Dynasty; (4) The evolution of Suzhou gardens’ distribution and scale affected interior layouts. The evolution and social development of ancient cities can affect the distribution and scale of gardens. At the same time, the popularization of gardening art also optimizes the cityscape.

The locality of landscape design needs to obtain human thermal perception in different cities or regions. Previous studies in Shanghai have focused on a single season and ignored the seasonal characteristics of hot summers and cold winters. The objective of this research was to examine the outdoor human thermal perception in three seasons—summer, autumn, and winter. For this purpose, a field survey was conducted in two urban squares in Shanghai, and during three seasons, an outdoor human thermal perception questionnaire survey was completed combined with micrometeorological measurements. In the questionnaire, the thermal sensation and thermal comfort of interviewees were evaluated through the 9-point scale and the 4-point break scale, respectively. Regression lines gave the possibility to calculate the neutral ranges and the comfort ranges. A neutral PET (physiological equivalent temperature) range of 13.0~28.6 °C and a comfort PET range of 14.2~32.6 °C were obtained for three seasons. In addition, the relationships between personal (gender and age of respondents) and microclimatic (air temperature, relative humidity, wind velocity, and solar radiation) factors on thermal sensation votes (TSV) and thermal comfort votes (TCV) were evaluated. The results of multiple regression analysis showed that the variables affecting TSV and TCV changed with the season. The findings of this research enhance our understanding of outdoor human thermal perception and can contribute to more friendly outdoor open space design in Shanghai.