Taking the Lanzhou-Xining Urban Agglomeration as the research subject, based on the gravity model and urban primacy and in combination with the current situation of each city, the economic qualities of various cities within the area were classified. Then, the economic spatial structure and the interrelationships within the urban agglomeration were analyzed. The results show that Lanzhou City is an important economic growth pole. The connections among cities with lower economic primacy rankings within are weak. Currently, the urban agglomeration faces problems such as insufficient development momentum, resource misallocation, and difficulties in dual-core construction. Corresponding strategies are proposed to provide references for the high-quality economic development of the northwest region under the new mechanism of regional coordinated development.

With the development of artificial intelligence technology, virtual spokespersons have become a new trend in brand marketing. The interaction between virtual spokesperson type (companion-type vs. servant-type) and brand personality (excitement vs. sincerity) were explored, and the mediating role of processing fluency was examined. It is found that the matching of virtual spokesperson type and brand personality can significantly enhance consumers’ purchase intention. Among them, processing fluency significantly affects consumers’ acceptance of advertisements and purchase behavior. It is provided empirical support for brands in choosing virtual spokesperson strategies, and theoretical support and practical guidance are provided for brand marketing in the digital era.

Jingdezhen is a world-renowned ceramics capital with a rich cultural heritage and economic potential. Through literature analysis and expert consultation, the evaluation index system of Jingdezhen’s cultural and economic influence was constructed from four dimensions, including employment absorption, cultural identity, cultural innovation and welfare improvement. The analytic hierarchy process was used to determine the weight of each index, and the fuzzy comprehensive evaluation method was used to obtain the comprehensive score of each index. The results show that the cultural and economic influence of Jingdezhen is generally good, and the industrial development and cultural resources are the main supports, and relevant suggestions are put forward according to the research results, aiming to provide reference significance for the development of Jingdezhen’s cultural economy.

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.

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.

An evaluation method was proposed based on combination assignment-objective element topable model. Firstly, the G1 method and entropy weight method were used to subjectively and objectively assign weights to the evaluation indicators, and the Lagrange multiplier method was applied to find the combination weights, which ensured the unity of the weights subjectively and objectively. As the qualitative index data was difficult to be calculated by the evaluation research, which affected the accuracy of the evaluation results to a certain extent, therefore, the object element topable model was introduced, and the topable set was token as a mathematical tool to realize the quantitative evaluation calculation and ensure the objectivity and accuracy of the evaluation results. Finally, the validity and practicability of the method is verified through the analysis of examples.

Zhangjiang Science City is the core carrying area of building a global innovation center in Shanghai. In 2022, the Zhangjiang Science City expanded to 220 square kilometers, its spatial resources increase, while also facing higher demands on functional collaboration and industrial clusters linkage. After the expansion, the original town-level industrial parks within and around the Science City have become important carrying space for innovative industrial clusters. Under the overall innovation system of Zhangjiang, the direction and key elements of town-level parks transformation have to be clarified. Based on town-level parks’ development and main bottlenecks in today, transformation response are proposed. With the case study of Pudong Zhoupu Smart Park’s transformation into industrial communities, strategies are proposed from the aspects of space, industry, service, to explore the form of industrial communities that contribute to the cultivation of industrial and talent innovation ecology.

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.

In order to explore the cause and mechanism of water damage on asphalt pavement, the finite element software ABAQUS was used, combined with the pavement structure combination of Yinzhou Lake Expressway in Guangdong Province, and based on the seepage theory, the finite element models under the three working conditions of conventional water concentration field, actual non-uniform water concentration field and comprehensive consideration of actual non-uniform water concentration field and saturated liquid water were established respectively. The mechanical response of pavement under different working conditions was analyzed. The results show that the actual presence of non-uniform water vapor concentration field increases the cracking risk of the upper layer. With the intervention of liquid water caused by rainfall, the surface layer is in the alternating positive and negative pore water pressure, repeatedly scour the fatigue cracking site, further accelerating the stripping of asphalt and aggregate, and finally leading to water damage related diseases. The upper layer is subjected to the most serious void water pressure. Emphasis should be placed on enhancing the water damage resistance of the upper layer.

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.