Global extreme weather events such as rainstorms, floods and droughts have become increasingly frequent, posing significant threats to human beings worldwide. Green infrastructure has been implemented for decades to mitigate these issues. However, its widespread adoption in cities is still limited. A lack of sustainable funds was viewed as a great challenge for its widespread implementation. Many developed countries have practiced public participation and stormwater fee systems to mitigate these challenges. To assess the value that citizens place on the ecosystem benefits provided by urban green infrastructure is of great importance for increasing public participation and their willingness to pay. Thus, this paper aims to explore public preferences and their willingness to pay for the benefits of green infrastructure to support the construction and maintenance costs. A discrete choice experiment method was employed and five attributes were selected: reduction in run-off pollutant, degrees of ponding, plant type, planting aesthetics and the amount of payment. The Ngene1.2 software was used to generate a questionnaire, and data collected from the case cities, Xianyang and Xi’xian New Area, China, were analyzed using the mixed logit model. The results revealed that in Xianyang, the willingness to pay was not significantly associated with cognition, while in Xi’xian New Area, willingness to pay was positively related to cognition. Respondents exhibited a significant willingness to pay for green infrastructure to achieve reduced degrees of ponding in both cities, as well as improving planting aesthetics in Xi’xian New Area. Based on these findings, we conclude that government decision-makers should prioritize disseminating knowledge about green infrastructure to residents before implementing such projects in communities. The findings provide valuable insights into the potential economic value of urban green infrastructure and can guide policymakers and urban planners in making decisions regarding the design, implementation, and management of green infrastructure. This study contributes to the understanding of citizen perspectives and the economic evaluation of ecosystem services provided by urban green infrastructure.

Urban green infrastructure has been widely used to in cities to solve stormwater problems caused by extreme weather events and urbanization around the world. However, the lack of a long-term funding mechanism for performing urban green infrastructure’s functions has limited wider implementation. Factors influencing citizen attitudes and willingness to pay for urban green infrastructure vary from city to city. This study estimated the public’s willingness to pay for urban green infrastructure, as well as compared the selected influencing factors of willingness to pay in different Chinese pilot sponge cities. The results show that 60% to 75% of all respondents in the cities were willing to support the implementation of urban green infrastructure in sponge cities, with those most willing to pay around 0–5 RMB/month (0–0.72 USD/month). The respondents’ educational level was a significant influencing factor for their willingness to pay in all six cities, but age, gender and family monthly income correlated differently with respondents’ willingness to pay in different cities. Previous knowledge of the sponge city concept and sponge city construction in the community were not significantly correlated with residents’ willingness to pay. We conclude that local governments in China need to provide more information to the general public about the multiple ecosystem services, e.g., educational and recreational benefits, that urban green infrastructure can provide. In doing so, it will help a shift to urban green infrastructure as the solution to dealing with urban stormwater problems.

Due to the increasingly devastating impact of pluvial flooding on human beings’ lives and properties in cities, the use of green infrastructure to manage stormwater onsite is becoming more popular worldwide. The maintenance of green infrastructure to ensure its function has become one of the most pressing tasks facing policy makers. However, there is limited research regarding the willingness to pay the stormwater fee as a form of maintenance funding. This study utilized contingent valuation data obtained from a survey of 1101 respondents living in six pilot sponge cities in China to estimate the willingness to pay for the green infrastructure maintenance. The findings indicated that two-thirds of all respondents were willing to pay, 17% would like to pay around 6–10 RMB/month (0.95–1.59 US dollars/month), and 17.8% would like to pay more than 20 RMB/month (3.2 US dollars/month). The educational level and age of the respondents were significant determinants of the probability of willingness to pay and the amount they would like to pay. Knowledge of the concept of sponge cities was another significant influencing factor for the willingness to pay, but it did not influence the amount of payment. The findings could help policy makers make better strategies regarding the maintenance of green infrastructure and its costs.

Due to continuous urbanization and an increasing need to improve living quality, citizens’ pursuit of landscape quality in residential communities is constantly improving in developing countries, e.g., China. This is especially true in the period when citizens were locked down in their home cities or communities in the context of the COVID-19 pandemic. Studying whether the current landscape in residential communities still meets citizens’ needs is of significance as it is crucial for city planners, landscape architects, and city managers. In this study, we used the analytic hierarchy process method to evaluate the landscape quality of five residential communities, using the case city of Yangling, China. In total, 516 valid questionnaires were collected in May 2022. The results showed that good organization of residential roads and pedestrian systems, the rationality of rest facilities, and the hierarchical richness of plants were the most important aspects for residents. Based on these, optimization design strategies were summarized. We hope to provide a reference for future landscape optimization of existing residential communities, especially in developing countries.