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As an innovation model for infrastructure and public service delivery, public–private partnership (PPP) has been widely adopted around the world. The knowledge spillover effect and policy diffusion mechanism have played an important role in promoting the development of PPP in the context of globalization. A comparative evaluation of the policy and management of PPP in different countries will help to understand the development of PPP, provide decision-making reference for PPP policy embedded with specific national conditions of each country, and also contribute to the global PPP knowledge body.

Based on the principle of comparability and representativeness, this study selected three countries, namely, China, India, and the United Kingdom for comparative analysis. This study first introduced the policy process and key institutions of PPP in three countries. Secondly, a comparative analysis of the development characteristics and application of PPP was conducted based on the official database of three countries. Finally, the differences, influencing factors and development trends of international PPP development were analyzed based on the comparative research results, and suggestions for PPP policy and management were put forward.

The research results indicate the development fluctuation and unbalanced spatial distribution of PPPs are a common phenomenon in the three countries. The UK has a significant impact on the policy and development of PPP in other countries. However, under the combined influence of factors such as economic, urbanization, political regime and social culture, there are significant differences in the PPP institution, application, and project characteristics in various countries. Due to international exchanges and knowledge spillovers, as well as the promotion of intermediaries, the development of PPP worldwide tends to converge.

Through conducting an international comparison of PPPs based on project data, this study provides a detailed and visualized overview of PPPs and a better understanding of PPP policy and management in different countries. The findings will be of interest to PPP investors, officers, practitioners, policymakers, researchers, and analysts. It enriches the portrait of global PPP market research, helps governments to improve the design of PPP institutions and policies, and provides references for decision-making of international investors when stepping into a new market.

This study is the first attempt to systematically compare and analyze the global PPP difference and development trend based on PPP project databases of different countries. Different from previous PPP comparative research based on perception data, the project data-based comparative analysis in this study is helpful to understand the characteristics, interrelations, and trends of global PPP development and enrich the existing PPP knowledge body. This study also proposes that it is possible to establish a global PPP knowledge community in the context of globalization and global production network.

Infrastructure financialization plays a critical role in infrastructure development and urban growth around the world. However, on the one hand, the existing research on the infrastructure financialization focuses on qualitative and lacks quantitative country-specific studies. On the other hand, the spatial heterogeneity and influencing factors of infrastructure financialization are ignored. This study takes China as a typical case to identify and analyze the spatial characteristics, development process and impact factors of infrastructure financialization.

To assess the development and characteristics of infrastructure financialization in China, this study constructs an evaluation index of infrastructure financialization based on the infrastructure financialization ratio (IFR). This study then analyzes the evolution process and spatial pattern of China's infrastructure financialization through the spatial analysis method. Furthermore, this study identifies and quantitatively analyzes the influencing factors of infrastructure financialization based on the spatial Dubin model. Finally, this study offers a policy suggestion as a governance response.

The results demonstrate that infrastructure financialization effectively promotes the development of infrastructure in China. Second, there are significant spatial differences in China’s infrastructure financialization. Third, many factors affect infrastructure financialization, with government participation having the greatest impact. In addition, over-financialization of infrastructure has the potential to lead to government debt risks, which is a critical challenge the Chinese Government must address. Finally, this study suggests that infrastructure financialization requires more detailed, tailored,and place-specific policy interventions by the government.

This study not only contributes to enriching the knowledge body of global financialization theory but also helps optimize infrastructure investment and financing policies in China and provides peer reference for other developing countries.

Most existing recommendation systems or technologies are functional-oriented. Recommending services, nevertheless, requires the consideration of service experiences perceived by customers being individually unique and emphasizing the emotional experiences and the co-created value-in-use. This paper aims to present a new recommender system to capture customer emotional needs and address social interactions among service stakeholders.

This paper presents a color imagery-based recommender system (CIRS) capable of capturing customer emotional needs and addressing social interactions among service stakeholders that can collectively co-create the individual value-in-use and beneficial outcomes for customers. Based on the Color Image Scale, the recommender system uses the color imagery format as the uniform representation of customers’ psychological expectations, service providers and the service system, to facilitate the scoring and ranking of recommendations.

This study uses an application context of destination tourism to demonstrate and justify the recommender system’s attempted contributions preliminarily. That is, CIRS can recommend destinations and tour services that meet tourists’ emotional needs with a satisfactory precision of 70 per cent. CIRS can also make stakeholders’ image models evolve over time considering the dynamic interactions among stakeholders. CIRS can also help lesser-known tourism destinations be discovered by tourists who can be emotionally satisfied.

CIRS uses the color imagery as the uniform representation for customers’ expectations, service providers (e.g. small and medium enterprises) and service system (e.g. tourism destinations), considering the continued interactions among the service stakeholders that collectively co-create the individual value-in-use and beneficial outcomes for each customer.

The purpose of this paper is to build a flow stress model and microstructure evolution models which can be used to fulfill the multi-physics prediction of hot forging process, in this way the process design can be virtually verified and optimized. This is especially crucial for micro-alloyed steel forging which microstructure determines the component properties, since the downstream quenching is usually not needed.

First, hot compression tests have been completed; second, experimental data are used to build the flow stress model and models for microstructure evolution; third, programming has been finished to integrate the proposed models into the commercial finite element method (FEM) code; fourth, case study is conducted to simulate multi-stage hot forging process of micro-alloyed steel F38MnV piston; and fifth, simulation results are validated by experiment.

First, simulation results in grain size and phase volume fraction are in well agreement with experimental ones; second, the austenite grain is dramatically refined by the dynamic recrystallization in pre-forging process and static recrystallization in the two intervals has no obvious change during the following final forging and cooling above the Ae3 temperature; third, during the cooling process below the Ae3 temperature, ferrite and pearlite transformation begin from the thin skirt to the thick skirt and piston bottom because of different cooling speeds at different areas.

First, flow stress model, dynamic recrystallization model, static recrystallization model, austenite grain growth model and phase transformation models are established for a micro-alloyed steel; second, the multi-physics FEM simulation of multi-stage hot forging of industrial piston has been conducted and verified by experiment, which show good agreement.