The introduction of productive gardens on public building roofs is an active way to use urban idle space. It has ecological, economic, and social values and helps alleviate many urban problems caused by the rapid advancement of land urbanization. This paper takes the productive rooftop garden of an urban commercial complex as an example, and assesses its development status based on methods including ArcGIS, field research, and questionnaire interviews, combined with the overall aspects of the country and key case analysis. The results indicate several key aspects of the current status of such gardens in China. (1) As affected by natural and social factors, the current spatial distribution of productive rooftop gardens of commercial complexes in Chinese mainland is uneven, with 84.21% located in the southeast coast and the Sichuan region. (2) The operation and development of this type of productive landscape is in good shape. The number of rooftop gardens has continued to increase since 2013, and the scale is generally greater. Currently, the business model which combines nature education and parent-child amusement experience activities is the most stable. (3) Cases in good operating condition tend to have relatively related characteristics in layouts, traffic functions, landscape elements, and space design. (4) Questionnaire interviews show that citizens are highly willing to participate in rooftop productive landscapes, while operators still experience challenges in policies, funds, and planting knowledge in practice. This paper analyses the existing problems in the development status and strategy of the rooftop productive landscape. It proposes complementary optimization strategies to serve as a reference for the rooftop design of commercial complexes and the utilization of a significant amount of idle space on the roofs.
China has a vast area of mountains that are of great research interest. Chongqing is a typical mountain city in China. In urban construction, a mountain is not only an important limiting condition for urban development, but also an important condition for shaping the urban form. The area from the Yangtze River to the eastern ridge line of Nan Mountain in Nanan District is strongly representative of mountain cities with a complex landform, fragile ecological environment and a long history and culture. In recent years, the construction and optimization of this area are increasingly closely related to the landscape environment. However, due to the special environments of mountain cities, altitude and landform conditions become the key influencing conditions for further development of the cities. Therefore, this paper takes this region as an example, focuses on remote sensing and field measurement data, combines government data with that from scholarly research, and conducts relevant exploration through GIS, ENVI and some chart processing software. At first, from the perspective of the landscape gradient and urban construction, the characteristics of the urban landscape gradient are sorted out, and the developmental status of each urban area is analyzed. Then, the coupling relationships between the landscape features of each gradient and each urban area are analyzed. Finally, based on the analysis results, three major optimization measures are proposed to maintain ecological harmony in the mountainous area, reconstruct the mountain characteristic culture, and create unique mountain aesthetics, all with the hope of providing some guidance for the future development of the study area and similar mountain cities.
Natural environments contribute to people’s perception, preference and health restoration. Many researchers have focused either on the positive effects of overall rural environments on stress recovery or concentrated on the perception and preference aspects of the rural landscape, but few have integrated perception, preference and stress recovery simultaneously. This paper developed a framework which includes 11 elements and 38 element components related to Linpan, China, and distributed it online as part of a survey. As a result, a total of 324 valid questionnaires were collected. The questionnaire included demographic details, perception and preference degree for Linpan, as well as self-estimations of stress recovery. Stepwise multiple linear regression was employed, and revealed 16 significant predictors for the perception, preference and stress recovery in rural environments. In terms of elements, atmosphere and imagery were the two elements that could be best perceived, while woodland, farmland, water, residence and road were the five most important elements for the preference. Moreover, seven elements were also identified as significant predictors for stress recovery. Among the element components, tranquility as well as road and water proximity were the two significant predictors for perception, while wide visibility as well as woodland and residence blending contributed significantly to stress recovery. The five element components of woodland interior, vegetable field, stream, courtyard space and branch road each had a significantly predictive ability for preference and stress recovery. These findings extend the understanding of the perception, preference and restorative properties of rural environments through the combination of elements and element components in Linpan of Western Sichuan, helping to improve the quality and characteristics of rural external and internal environments and create health-promoting environments.
