Citizen participation and input in urban community micro-regeneration is a co-production behavior that is conducive to improving citizens’ sense of belonging, thereby promoting community governance. In the context of low co-production levels amongst citizens, how the government adopts mobilization instruments is an important challenge. This paper investigates whether governance tools can facilitate citizen co-production behavior in an urban community micro-regeneration setting using a structural equation modeling method and the stimulus organism response theory. Based on a survey of citizens who participated in community micro-regeneration co-production in Shanghai, this paper demonstrates the significant positive effects associated with information- and incentive-based tools in citizen in-role and extra-role co-production behavior; however, the effect degree was shown to differ. Moreover, the level of perceived benefits is a significant mediating variable between governance tools and in-role co-production behavior. In this study, we constructed and verified a novel and valuable theoretical perspective with which to explore urban regeneration. It was concluded that policymakers should follow the governance principle of classified development and tool matching for citizen co-production behavior in urban community micro-regeneration.

Electric vehicles (EVs) are promising alternatives to replace traditional gasoline vehicles. The relationship between available charging stations and electric vehicles has to be precisely coordinated to facilitate the increasing promotion and usage of EVs. This paper aims to investigate the choice of the charging location with global positioning system (GPS) trajectories of 700 Plug-in Hybrid Electric Vehicle (PHEV) users as well as the charging facility data in Shanghai. First, the recharge accessibility of each PHEV user was investigated, and 9% rely solely on public charging networks. Then, we explored the relationship between fuel consumption and the average distance between charging to analyze the environmental benefits of PHEVs. It was found that 16% PHEVs are similar to EVs, and 9% whose drivers rely solely on public charging stations are similar to internal combustion engine (ICE) vehicles. PHEV users were divided into four types based on the actual recharge access: home and workplace-based user (private + workplace + public), the home-based user (private + public), the workplace-based user (workplace + public), and the public-based user (public). Models were developed to identify and compare the factors that influence PHEV user’s charging location choices (home, workplace, and public stations). The modeling and results interpretation were carried out for all PHEV users, home and workplace-based users, home-based users, and workplace-based users, respectively. The estimation results demonstrated that PHEV users tended to charge at home or workplace rather than public charging stations. Charging price, charging price tariff, the initial state of charge (SOC), dwell time, charging power, the density and size of public charging stations, the total number of public charging, vehicle kilometer travel (VKT) of the current trip and current day are the main predictors when choosing the charging location. Findings of this study may provide new insights into the operational strategies of the public charging station as well as the deployment of public charging facilities in urban cities.

Transportation has become one of the primary sources of urban atmospheric pollutants and it causes severe diseases among city residents. This study focuses on assessing the pollutant dispersion pattern using computational fluid dynamics (CFD) numerical simulation, with the effect and results validated by the results from wind tunnel experiments. First, the wind tunnel experiment was carefully designed to preliminarily assess the flow pattern of vehicle emissions. Next, the spatiotemporal distribution of pollutant concentrations around the motor vehicle was modeled using a CFD numerical simulation. The pollutant concentration contours indicated that the diffusion process of carbon monoxide mainly occurred in the range of 0−2 m above the ground. Meanwhile, to verify the correctness of the CFD simulation, pressure distributions of seven selected points that were perpendicular along the midline of the vehicle surface were obtained from both the wind tunnel experiment and the CFD numerical simulation. The Pearson correlation coefficient between the numerical simulation and the wind tunnel measurement was 0.98, indicating a strong positive correlation. Therefore, the distribution trend of all pressure coefficients in the numerical simulation was considered to be consistent with those from the measurements. The findings of this study could shed light on the concentration distribution of platoon-based vehicles and the future application of CFD simulations to estimate the concentration of pollutants along urban street canyons.

Coal is a major source of energy in China. Quantifying China’s coal supply sustainability is essential to track China’s efforts towards sustainable development and achieve carbon neutrality goals. In this research, in addition to availability, economic sustainability, environmental sustainability and technological sustainability, we specially considered health and security, and transport sustainability of China’s coal supply. We select 19 indicators from the above six dimensions to build a coal supply sustainability index and construct a novel optimized comprehensive evaluation model with level difference maximization to evaluate China’s coal supply sustainability. The results showed that the policies issued by the Chinese government have effectively improved coal supply sustainability. China’s coal supply sustainability level has improved significantly, with the figure nearly doubling from 0.338 in 2000 to 0.7004 in 2019. To improve the sustainability of China’s coal supply further fundamentally, it is still necessary to improve energy diversification. Since phasing out China’s coal reliance requires considerable time, the Chinese government needs to introduce more positive and effective policies to such as increase the research and development support for carbon capture, utilization and storage technology, etc. to improve the sustainability of coal supply. The results of this research presented in this paper will have reference value for both promoting the sustainable development of China and other coal-consuming countries in the world.

Due to regional variations in urban governance and the division of functions across different government departments, administrative divisions have caused serious fragmentations in local governance and raised serious obstacles to the standardization and equitable delivery of public services within communities. Existing studies have put forward solutions to the problem of governance fragmentation that prioritize optimizing organizational structures. However, these studies neglect to take into account the impact of administrative divisions on public service supply. Current developments in information technology (IT) have brought new opportunities to urban governance. In this study, we take the Community Public Service Centers (CPSCs) of Shanghai as an example to illustrate the impact of administrative divisions on the equitable delivery of public services. We then explore the use of IT-driven implementation of cross-boundary public services to establish an innovative urban governance model that improves the accessibility of public services. The study found that the cross-boundary supply with the support of IT will effectively improve the equitable delivery of public services. This research will provide references for improving the accessibility of public services, the efficiency of resource allocation, and the promotion of the equitable delivery of public services among communities—all of which contribute to the optimization of urban governance.

Since China’s reform and opening up, the country’s rapid marketization process has been accompanied by the rapid growth of inequality, which has been significant for all classes of society. In terms of its impact, housing inequality is particularly noticeable. In this paper, we discuss the influence of real-estate purchase time, organization, human capital, and political capital on the value of real estate and the appreciation of real estate in China by using a conditional mean model and a quantile regression model. The differences in the degree of influence of these factors on different quantile levels are also investigated. We found that, after adding the time factor, the prior possession of resources in the early stage of market transformation will benefit the long-term marketization process. Organizations that can penetrate “market-redistribution” and professions that directly participate in the distribution of real-estate resources also have significant advantages in this regard.