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.

Research on the sight line design of the Classical Chinese Garden (CCG) is an important issue of CCGs’ sustainable development. Taking the Lion Grove as a case, GPS data loggers and questionnaires were employed to collect visitor temporal–spatial data and visiting motivations. We then calculated the “Revisiting Proportion” and “Average Speed” values. Furthermore, we selected the “Visual Control” values analyzed by Depthmap as an indicator of visibility. The statistical analysis of the relationship among “Revisiting Proportion”, “Average Speed”, and “Visual Control” values of each space showed that the spatial visual characteristic affected the visitor temporal–spatial distribution. Scenery spots in and around the large water pool, within one-step visual depth of each other, occupying the visual advantage of both “seeing” and “being seen”, can facilitate the transformation of sight lines and form the visual effect of “one step, one scene”. This research also proved that the sight line design of the Lion Grove was more intentional than random.

Suburban rural landscape multifunction has received increasing attention from scholars due to its high demand and impact on main urban areas. However, few studies have been focused on suburban rural landscape multifunction because of data constraints. The present study quantified the four landscape services based on ecological service system, i.e., regulating function (RF), provision function (PF), culture function (CF), and support function (SF), determined the interaction through the Spearman correlation coefficient, and ultimately identified the landscape multifunction hotspots and dominant functions through overlay analysis. The result indicated that suburban rural communities have exhibited the characteristics of regional multifunction, and the landscape multifunction hotspots accounted for 64.2%; it should be particularly noted that, among single-function, dual-function, and multifunction hotspots, both support function, and culture function was dominant, while only one case was found in which the regulating function was dominant. Furthermore, all landscape functions other than SF-CF exhibited certain correlations. The study suggests that planning and management should be performed in future in combination with landscape multifunction to ensure the sustainable development of suburban rural communities.