Acoustical Environment Studies in the Modern Urban University Campuses

The quality of the acoustic environments at Xi’an Jiatong-Liverpool University (XJTLU) and Soochow University (Dushuhu Campus, SUDC) in Suzhou City were investigated in the present work through real-time noise level measurements and questionnaire surveys. Before commencing the measurements and surveys, these two campuses’ sound sources were summarized and classified into four categories through on-site observation: human-made, machinery, living creatures, and natural physical sounds. For the zones near the main traffic road, with a high volume of crowds and surrounded by a park, sound from road vehicles, humans talking, and birds/insects were selected by the interviewees as the major sound sources, respectively. Only zone 3 (near to a park) at XJTLU could be classified as A zone (noise level < 55 dBA) with an excellent quality acoustical environment. All other zones had either good or average quality acoustical environments, except zone 1 (near to main traffic road) at XJTLU, with a fair-quality acoustical environment.

Emotional Regulation: Report on the Study of Social and Emotional Skills of Chinese Adolescents (II)

Recently, an article published in the Journal of East China Normal University (Education Sciences) was based on the data of 10-year-old and 15-year-old students in Suzhou City, China participating in the OECD social and emotional ability assessment. The study used descriptive statistics, difference testing, regression analysis, and other statistical methods to conduct a comprehensive analysis of the emotional regulation performance of Suzhou students.

A Novel Convex Hull Coverage Algorithm for the Deployment of Electric Taxi Swap Stations Based on Urban Traffic Flow

Electric taxis have been adopted as a new energy public transportation tool as opposed to traditional taxis in modern city. Designing an efficient swapping station deployment scheme has become an important issue to improve the endurance capability of electric taxis. In this study, based on real operation trajectory data from 3997 taxis in Suzhou city, the battery swapping demand of taxis based on urban traffic flow is obtained to construct a network coverage deployment model under rule constraints, where the main optimization goal is to minimize the number of swapping stations and load balancing. According to this model, a traffic drive planning algorithm based on computational geometry is presented. The experimental results illustrate that the deployment scheme obtained by the proposed algorithm is significantly optimized in terms of the deployment cost and service load and has a lower algorithm time complexity than the typical unified deployment scheme. Therefore, the proposed method can be applied to improve the operating efficiency of the urban electric taxi system.

Exploring the Distribution of Gardens in Suzhou City in the Qianlong Period through a Space Syntax Approach

This study explored the spatial distribution of Suzhou gardens in the Qianlong period (AD 1736–1796) through an innovative method combining spatial syntax and historical textual analysis. Through a spatial syntax approach, a stress axis model analysis suggested that the greater the degree of integration and prosperity of a street, the denser the distribution of gardens surrounding it. A canal axis model analysis indicated that more gardens were built around canals that were less integrated and had less traffic. The accuracy and reliability of the axis model analysis results were validated using historical documents and images. The following was observed: (1) Gardens were densely distributed in the prosperous commercial areas at the northern and southern ends of Suzhou City. The more prosperous the location of a garden, the greater the influence on its popularity. (2) Gardens were concentrated in residential areas with booming businesses. (3) Large numbers of gardens were built along canals with poor traffic functions. Building gardens by diverting water into them reflected the complementary relationship between urban geographical characteristics and garden-building techniques. (4) Gardens promoted commercial development, and commerce drove the preservation and continuation of gardens. The findings revealed the complementary relationship between garden preservation and commercial development.

Research on the Distribution and Scale Evolution of Suzhou Gardens under the Urbanization Process from the Tang to the Qing Dynasty

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.

Simulation of Land Use Pattern Evolution from a Multi-Scenario Perspective: A Case Study of Suzhou City in Anhui Province, China

Land use/land cover change is a frontier issue in the field of geography research. Taking Suzhou City in Anhui Province as the research case, based on thematic mapper /enhanced thematic mapper+ (TM/ETM+) remote sensing data from 1998 to 2018, through the transfer matrix model and modified conversion of land use and its effects at small region extent (CLUE-S) model, the simulation of the land use landscape pattern evolution was studied from a multi-scenario perspective. The results showed that in the past 20 years, landscape patterns have undergone spatial–temporal conversion, which was mainly manifested as the evolution from a cultivated land landscape and other agricultural land to construction land, and there was some transformation between other landscape types, but the transformation degree was not significant. The spatial autocorrelation factor was introduced to correct the CLUE-S model, and the Kappa index reached 0.83, indicating that the modified CLUE-S model had a good simulation accuracy. (I) In the cultivated land protection scenario, limiting the conversion of basic farmland use, and by 2028, the proportion of cultivated land increased by 5.23%, distributed in eastern Suzhou City; (II) in the economic development scenario, by 2028, the construction land area increased by 14.58%, and was distributed in the surrounding regions of the built-up areas; and (III) in the ecological protection scenario, by 2028, wood land, water, and other ecological protection land area increased, and were distributed in the central and eastern part of Suzhou City. Research can provide useful decision-making support for land use optimization and remediation.