New quality productivity encompasses technological innovation, industrial transformation, green development, and social structure optimization, becoming a key driving factor for enhancing the quality of new urbanization. An evaluation index system for new quality productivity and new urbanization was constructed, and the entropy weight method was used to measure their development levels. Through empirical methods such as the fixed effects model, Dagum Gini coefficient method, and mediation effect analysis, the impact mechanism of new quality productivity on new urbanization was systematically analyzed. It is found that new quality productivity has a significant positive effect on new urbanization, with notable regional heterogeneity: the promotion effect is most significant in the Northeast, followed by the East, and relatively weaker in the Central and Western regions. The contribution of inter-regional differences to the impact of new quality productivity on new urbanization is greater than that of intra-regional differences, and the overall Gini index and inter-regional differences show an upward trend. New quality productivity indirectly promotes the process of new urbanization through the development of the financial industry. Based on the above research results, relevant countermeasures and suggestions are put forward to accelerate the construction of new urbanization.

With the rapid construction and development of comprehensive transportation hubs, the air-rail intermodal transportation model has brought more convenience to passengers’ travel. Accurately understanding the air-rail intermodal passenger flow is crucial for improving the overall transportation service quality and ensuring transportation safety. A two-stage model combining particle swarm optimization-random forest model (PSO-RF) and Logit model is used to predict the passenger flow of travel paths in the context of air-rail intermodal transportation between urban agglomerations. Take one-way “Shifting from Railways to Aviation” as an example. In the first stage, the average daily civil aviation passenger flow of travel routes was predicted based on historical data by PSO-RF model. In the second stage, a behavioral survey was conducted through the airport outbound passengers to analyze the characteristics of passengers’ transfer mode and choice behavior. Then, a Binary Logit model of passenger travel choices was constructed based on the disaggregate theory, and the high-speed rail transfer sharing rate was calculated. Finally, the results of the two-stage model were combined to calculate the travel route passenger flow forecasts. The effectiveness and feasibility of the proposed method by constructing a case study from Shanghai to Chengdu neighboring urban agglomeration were validated. The results indicate that the accuracy of the two-stage model reaches 80.40%.

Based on the 2016 China Labor-force Dynamic Survey, the effect of appearance on residents’ subjective well-being and the acquired factors of education and effort were empirically examined. The result shows that better appearance can help improve residents’ subjective well-being; mechanism analysis shows that appearance affect residents’ subjective well-being by influencing job satisfaction (income satisfaction and promotion satisfaction) and life satisfaction (life choice and social network); improving the degree of education and effort helps to reduce the impact of appearance on residents’ subjective well-being. The conclusions provide new empirical evidence for the relationship between appearance and well-being, and provide new ideas based on the perspective of education and effort for residents to alleviate the “inequality” caused by their natural appearance.

How to promote the green development of rubber enterprises has attracted much attention from the industry, and digital technology provides an opportunity for its green transformation. While, there is still a lack of theoretical research on why digital technology can promote the green transformation of rubber enterprises. Based on multiple case analysis and dynamic capability theory, the internal mechanism of digital empowerment of green transformation of rubber enterprises under different strategic development stages was analyzed. It is found that the green development of rubber enterprises can be divided into three stages: green infrastructure, green advantage shaping and green development leading. At each stage, under the guidance of green strategy, rubber enterprises promote value chain reconstruction through digital empowerment, and thus improve the green dynamic ability of enterprises.

In order to reveal the main innovation subjects and technology leaders in the global industry, and provide guidance for China’s industrial policy formulation and enterprise technological innovation strategy, a seven-dimensional patent analysis framework was proposed to analyze the technological development trend of amorphous alloy industry based on the study of patent data. Through patent search and statistical data, the development trend of amorphous alloy patent applications, innovation regions, flow distribution, innovation subjects, innovation categories and innovation hotspots were identified. It is found that the number of patent applications for amorphous alloys has shown a downward trend in recent years, especially in Asia.

Digital image processing technology and finite element simulation software based on ABAQUS were adopted to analyze the cracking damage and related influencing factors of asphalt mixture at the meso level. At the same time, zero-thickness cohesive force units were inserted at the asphalt mortar and aggregate-mortar interface to conduct finite element simulation of asphalt mixture SCB(semi-circular bending) test and analyze the cracking process of asphalt mixture at the meso level. The effects of pre-cut depth, specimen thickness and support distance on the cracking characteristics of asphalt mixture were investigated by using the load-displacement curve and fracture energy obtained from the cracking of the specimen. The results show that the deeper the prefabricated incision and the smaller the thickness of the specimen, the worse the anti-cracking performance of the specimen, and the anti-cracking performance increases first and then decreases with the increase of the distance between the supports. The anti-cracking performance of the specimen is the best when the distance between the supports is 80 mm.

Low-carbon evaluation is a process of comprehensively assessing the environmental behavior and performance of enterprises, which helps to shape their positive environmental image and enhance their sense of social responsibility. In the context of low carbon economy, enterprise performance assessment involves not only quantitative indicators but also qualitative indicators. By constructing a hybrid multi-attribute performance evaluation index system, the uncertainty data of non-quantitative indicators of low-carbon enterprises were evaluated by trapezoidal fuzzy numbers, and the fuzzy entropy weighting method was used to determine the weights of the indicators, and then the multi-criteria weighted aggregation method was used to calculate the comprehensive performance evaluation value of the enterprise. Finally, the enterprise’s low-carbon development level can be ranked according to the fuzzy credibilistic mean and variance of performance.

Based on the theoretical framework of “technology-organization-environment”, the influencing factors of innovation performance improvement of new energy enterprises were constructed. Taking 141 listed new energy enterprises as samples, fuzzy set qualitative comparative analysis method was used to explore the configuration path of innovation performance improvement of new energy enterprises. The results indicate that R&D capability, innovation resources, innovation consciousness of senior management team, firm scale, market competition and government support are not independent influences but the results of multi-factor synergies. Three configuration paths to improve the innovation performance of new energy enterprises are the “technology-environment” logic and “technology-organization-environment” logic led by the consequent innovation path, and the “organization-environment” logic led by the potential innovation path. There is a complementary and substitutive relationship among innovation resources, R&D capabilities and executive team innovation consciousness, and R&D capabilities have a more significant impact on the innovation performance of new energy enterprises than innovation resources.

The proximity between the subjects of construction projects is an important factor that affects the performance of cooperative innovation. Based on the theory of multidimensional proximity, the longitudinal data of the cooperative innovation among Chinese project participants was collected to explore the influence mechanism of geographical, organizational, technological, institutional and relationship proximity on the cooperative innovation performance of construction enterprises. In order to better reveal the statistical and aggregate relationship between variables, negative binomial regression and fuzzy set qualitative comparative analysis(fsQCA) were used to analyze the binary relationship of cooperative innovation of 392 construction enterprises. The results show that geographical proximity, organizational proximity, institutional proximity, technological proximity and relationship proximity all significantly promote the cooperative innovation performance of construction enterprises. The antecedent configuration of high cooperative innovation performance of three types of construction enterprises is obtained by qualitative comparison and analysis, namely, “organizational leadership-resource integration” type, “system traction-cross-domain breakthrough” type and “technology coordination-collaborative creation” type.

In this paper, the anti-invasion performance of the perimeter wall between the test pressures of the completion tool is analyzed. According to the conditions of the downhole tool pressure test such as test medium, test temperature, test pressure, and the possibility of dislodging the parts during the test, a combination of three types of perimeter wall structures is proposed: single steel plate, double steel plate + timber interlayer, and double steel plate + concrete interlayer. To meet the test pressure requirements, the three types of perimeter wall structure combinations are analyzed to determine more conservative structural dimensions by means of finite element simulation calculations and analyses, and the results of the analysis from the simulation of the Combination 1 structure are verified by means of the impact test.