As one of the settlements of the elderly in China, the aging problem is prominent, and it is of great significance to carry out the transformation of the public space of urban villages for aging. Based on the field investigation questionnaire, taking Chen officer camp community and new beach community, as an example, theory of SEM(structural equation model) was used to build urban public space aging evaluation system from security, convenience, comfort and participation. Amos software was used to summarizes the problems of public space. In order to optimize the public space of the elderly in urban villages, transformation strategies are proposed from the entrance space, street space, square space and idle space, which will provide reference for the reconstruction of urban villages in Lanzhou.

With the continuous advancement of urbanization, urban industrial transformation and the implementation of urban renewal actions, the focus of urban development has further emphasized the improvement of quality and quantity. As one of the areas with the longest development in the entire city, the old industrial area has rich industrial heritage, resources and environment in the factory area, which is no longer suitable for large-scale transformation and reconstruction. How to build a reasonable renewal and transformation model for old industrial areas is one of the practical problems that need to be solved in the context of urban renewal in various cities. Taking Lanzhou General Machinery Factory as an example, based on the theory of urban acupuncture, the historical evolution was grasped, and the analysis of current problems was conducted. Four renewal steps are proposed, including breaking the meridians, replenishing qi and activating blood circulation, combing the meridians, and harmonizing the internal organs, providing new ideas and methods for the renewal of old industrial areas in cities.

The dilemma of the transformation of scientific and technological achievements in Chinese universities is manifested that the large investment of scientific and technological innovation funds has not led to a significant improvement in transformation efficiency. The key to solving this dilemma is to identify the different effects of various influencing factors in the process of transforming. The provincial panel data of Chinese universities and the Global Malmquist index method were used to measure the transformation efficiency. Based on the theory of digital intelligence platform for the transformation of scientific and technological achievements in universities, the significant impact of external macro environmental factors and internal meso organizational factors on the efficiency of scientific and technological achievements transformation in universities were examined. The conclusion shows that internal meso organizational factors significantly affect the improvement of the transformation efficiency, while external macro environmental factors do not have a significant impact on the transformation efficiency. There is a mismatch phenomenon between Significance, effectiveness of influencing factors and funding direction.

Through different research perspectives, the current situation of domestic and international literature publication on environmental regulation and carbon emission reduction was sorted out, and targeted improvement measures and suggestions are put forward in combination with domestic and international research trends and cutting-edge dynamics, so as to promote the enhancement and advancement of the research level of the field of environmental regulation and carbon emission reduction in China. Based on the bibliometric method, 822 English documents included in the core set of Web of Science (WoS) and 4 768 Chinese documents in the core journals of CSSCI were compared and analyzed by CiteSpace software for the theme of environmental regulation and carbon emission reduction. Domestic research on environmental regulation and carbon emission reduction started late, but the international recognition is increasing year by year. Compared with foreign studies, there are fewer domestic studies on energy consumption, FDI and performance. In terms of modeling methodology, fewer domestic studies utilize the data envelopment analysis (DEA) method. The conclusions drawn from bibliometric methods favor probability laws, which can reduce the problem of subjective selection by authors. WoS databases have less relevant literature due to precise limitations, and the analysis is not comprehensive. The data exported from domestic CSSCI cannot be analyzed for citations and journal sources, and the breadth of analysis is limited.

Based on panel data from 2001 to 2019, the Tapio model was applied to measure the decoupling effect of carbon emissions and economic growth in Jiangsu and Zhejiang regions, focusing on analyzing the characteristics of their municipal spatio-temporal evolution. The results show that the decoupling of carbon emissions and economic growth in Jiangsu and Zhejiang has been realized since 2006. However, the decoupling is weak in most periods. The period-by-period decoupling effect of cities varies distinctly, for example, the decoupling ratio of Hangzhou in the study period is nearly 90%, while that of Xuzhou, Lianyungang, Suqian, Wenzhou and Quzhou is less than 60%, and strong decoupling is dominant after 2013. The time-period decoupling effect of cities shows an evolution of ‘substantial improvement-slight deterioration-basically stable’, mainly due to the deterioration of decoupling effect of Zhoushan, Xuzhou, Huai’an, Yancheng, Zhenjiang, Lianyungang and Suqian. Compared with Jiangsu, Zhejiang has better decoupling effects by time period, such as Hangzhou is in decoupling status, and the last two time periods show strong decoupling. Xuzhou, Huai’an and Zhenjiang are relatively weak, and all of them are degraded to expanding connections during the 13th Five-Year Plan period. On this basis, corresponding countermeasures are proposed.

With the development of economic level, the agricultural industrial structure is also constantly adjusted. Based on the time series data of Guizhou Province from 1988 to 2022, the function of agricultural output value was constructed, and the vector autoregressive (VAR) model and the autoregressive distributed lag (ARDL) model were used to analyze the correlation of planting industry, forestry industry, animal husbandry industry and fishery industry in the total value of agricultural industry in Guizhou Province. The empirical results show that planting and animal husbandry are the main driving forces of the total agricultural output value in Guizhou province, while forestry and fishery have little influence. It is suggested to focus on optimizing the development strategy of planting and animal husbandry, and promoting sustainable agricultural practices and ecological breeding modes, adjusting forestry development strategy, balancing short-term economic benefits and long-term ecological benefits, developing understory economy. The fishery industry should develop steadily and promote fine breeding and ecological breeding technology. At the same time, all industries should strengthen industrial coordination and the government should formulate differentiated policy support to give full play to the advantages of all industries, improve production efficiency and promote the sustainable and stable growth of the total agricultural output value.

With the coming of the information age, mobile information technology represented by mobile devices and wireless networks, is becoming increasingly popular. It is profoundly affecting all aspects of residents’ production and life, including leisure. With the continuous development of social economy, the urban middle class has gradually expanded and become the largest consumer group supporting the urban leisure industry. However, the existing studies pay less attention to the middle class. Based on the leisure questionnaire data of the middle class in Guangzhou, factors such as self-efficacy, availability, dependence of mobile information technology use and socio-economic attributes were selected, a structural equation model was constructed, and the impact of mobile information technology use on the leisure activity choice of the middle class was discussed. It is found that the self-efficacy, availability and dependence of mobile information technology of middle class are significantly positively correlated. The dependence degree of mobile information technology of middle class has a significant direct impact on leisure activities, and the self-efficacy and availability of mobile information technology of middle class have a significant indirect impact on leisure activities by influencing the dependence degree of mobile information technology. The availability of mobile information technology to the middle class also affects their self-efficacy. The study shows that if the middle class has easy access to mobile information technology, has a high sense of self-efficacy towards mobile information technology, they will be more dependent on mobile information technology for leisure activities, and they are more inclined to choose physical leisure. In addition, age, gender, income, occupation, family child ownership and car ownership also have a significant impact on the choice of leisure activities. High income and older middle class prefer physical leisure. Compared with women, the male middle class prefers physical leisure. The middle class who work freely in time and space prefer online leisure. The middle class, with more children and more cars, tend to prefer physical leisure.

Taking the Central Soviet Area of Jiangxi, Fujian, and Guangdong in 2020 as an example, firstly, selecting reasonable cross-sectional data and conducting spatial autocorrelation analysis on county-level objects to empirically demonstrate spatial spillover effects. Secondly, using the coupling coordination degree to calculate the structural effects, multiplier effects, growth effects, and traction effects of digital e-commerce logistics as a new quality productivity for collaborative urban-rural integration development, and conducting correlation analysis with relevant indicators. Finally, compare the overall differences in digital rural index and multi-dimensional digital e-commerce logistics effects among different classifications of county-level objects (by province, city, group, administrative differences, and inter provincial adjacency), in order to clarify the direction of regional coordinated development. In order to promote relevant research work and governance attention.

High-speed railway stations are characterized by their large scale and complex functional zoning. Passengers often waste time or even get lost due to unclear orientation signs while navigating within the stations. This not only affects the travel experience but also increases the operational pressure on the stations. Therefore, optimizing the layout of passenger orientation signs in high-speed railway stations is of great significance. A model for orientation signage layout based on the “fast lane” path was proposed to simplify the path selection process for passengers. A typical high-speed railway station scenario was constructed, and the model was verified using the AnyLogic system simulation software. The impact of the “fast lane” path and traditional shortest path orientation signage layout on passenger travel efficiency was compared and the travel time, speed of passengers and the effect of emergency evacuation in detail were analyzed. The simulation results show that the model based on the “fast lane” path can significantly improve passenger orientation efficiency. Compared with the traditional shortest path layout, the average time passengers spend in the station is reduced by about 4 minutes. The model demonstrates excellent performance in improving passenger orientation efficiency, reducing travel time, and enhancing emergency evacuation capabilities, and it provides new ideas and methods for the optimization of orientation signage systems in high-speed railway stations.

Under the background of the national strategy of “mass entrepreneurship and innovation”and“rural revitalization”, it is great important to improve the entrepreneurial competency of college students who return to their hometowns to start a business. The connotation of “competence of college students returning to their hometowns for entrepreneurship” was defined by summarizing and deducing literature on “returning home for entrepreneurship” “college student entrepreneurship” and “entrepreneurial competence”. A competency model for returning college students’entrepreneurship was constructed based on a survey of 304 questionnaires. Finally, an evaluation system of returnee college students’entrepreneurial competence index was constructed, which included four primary indicators, such as entrepreneurial drive, entrepreneurial control, entrepreneurial execution and entrepreneurial personality, as well as 16 corresponding secondary indicators.