A demand index for recreational ecosystem services associated with urban parks in Beijing, China

An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks

The urban park is the main leisure and entertainment place in residents' daily lives. The accessibility of parks is closely related to the physical and mental health of the residents. Although many scholars have conducted a great deal of research on the spatial accessibility of urban parks, they have rarely considered the supply competition among different parks and the impact of multiple travel modes on the spatial accessibility of parks. Therefore, based on Baidu map navigation data, in this paper, the park Baidu score is used to represent the competitive relationship among different parks, and the impact of multiple travel modes on the spatial accessibility of parks is considered. A supply competition and multiple travel modes Gaussian two-step floating catchment area (SCM-G2SFCA) model is established to evaluate the spatial accessibility of the parks in the Wuhou District, Chengdu, China. The results show that (1) compared with traditional methods, the SCM-G2SFCA model can obtain more accurate results using Baidu map navigation data. (2) There are obvious spatial differences in the accessibility distribution of the parks in the Wuhou District, Chengdu, with high accessibility in the south and low accessibility in the north. The Jinyang and Huaxing sub-districts in the southern suburbs have the highest park accessibility and can obtain more adequate park services. The Fangcaojie and Cujin sub-districts in the northern urban areas have the lowest park accessibility and are relatively lacking in park services. The research results of this study have important reference value for the rational planning of urban parks and the improvement of the spatial accessibility of urban parks in the Wuhou District of Chengdu and similar urban areas.

Exploring the Development Strategies of Science Parks Using the Hybrid MCDM Approach

Science parks contribute to a country’s economic growth, promote industrial transformation, and meet the development needs of high-tech industries. They also play an essential role in enhancing technological development and competitiveness. Due to the impact of the fierce U.S.-China trade war on the global economy, many Taiwanese companies are considering moving their high-end product production lines back to their home country. This trend may promote the growth of the population in the surrounding areas of science parks and affect the limited infra-structure at the same time. This study explores how science parks could achieve sustainable development goals by formulating their development strategy. We summarized four evaluation aspects for constructing the driving factors for developing the science park through literature review and interviews with experts. Combined with the hybrid multiple-criteria decision-making (MCDM) approach, we analyzed stakeholders’ satisfaction among the four aspects of the driving factors for the development of the science parks and put forward appropriate strategy recommendations. We found that the improvement of public infrastructure (PI) can improve not only the environmental quality (EQ) but also promote the business environment (BE) and the working environment (WE). This improvement could attract domestic and foreign manufacturers, create employment opportunities, expand the park’s scale, and eventually promote industrial development. This research improves the method of collecting empirical data to establish the driving forces for developing science parks through suitable development strategies.

Assessment of Ecosystem Services Supply and Demand (Mis)matches for Urban Ecological Management: A Case Study in the Zhengzhou–Kaifeng–Luoyang Cities

Accurate supply and demand matching of ecosystem services (ESs) is important for managing regional ecosystems. On the basis of remote-sensing, meteorological, and socio-economic data, we mapped the supply, demand, and matching status of four ESs (i.e., water production, carbon sequestration, food supply, and soil conservation) using biophysical models and the ArcGIS spatial analysis module within the Zhengzhou–Kaifeng–Luoyang (ZKL) urban agglomeration in 2018. Four-quadrant analysis was employed to identify the spatial matching types of supply-demand relationships within the study region. The results are as follows. The supply-demand ratios of different ESs in the cell scale exhibit different spatial characteristics because of major influencing factors, including the natural environment (e.g., precipitation and temperature) and social development (e.g., urbanization level). Analysis of the supply-demand imbalances of the four ESs indicates that water production is deficient across the entire research area, whereas the whole research area’s carbon sequestration, food supply, and soil conversation are in the surplus state. Regarding the spatial matching types for supply and demand of the four ecosystem services, water production is dominated by the “low–low (low supply and low demand)” type. Carbon sequestration is dominated by the “low–low” and “high–low (high supply and low demand)” types. The “low–low” type dominates food supply and soil conservation. Due to the severity of the deficit in water production, all districts and counties in the ZKL urban agglomeration are identified as areas requiring ecological conservation, ecological restoration, or ecological improvement. Development guidance strategies and planning suggestions are proposed in different ecological areas. These policies could also be applied in other similar urban agglomerations.

The Right to Accessible COVID-19 Testing in the Post-Epidemic Period under the Urban–Rural Integration: Haishu District, Ningbo City, China

The reasonable distribution of COVID-19 testing facilities is a crucial public necessity to protect the civil right of health and the proper functioning of society in the post-epidemic period. However, most of the current COVID-19 testing facilities are in large hospitals in China, partially overlooking the COVID-19 testing needs of rural dwellers. This paper used shortest-path analysis and the improved potential model to measure the accessibility of current and potential COVID-19 testing facilities, superimposing this with the testing demands of residents, as calculated by the population demand index, so as to comprehensively evaluate the equity of the spatial allocation of the current and potential testing facilities, with a particular focus on Haishu District, Ningbo City, China. The results revealed that the overall accessibility of the current testing facilities in Haishu District was high, while the internal spatial differentiation was considerable. The comprehensive accessibility of testing facilities gradually declined from the downtown areas towards the rural areas. Moreover, roughly half of the rural population needing COVID-19 tests encountered hindrances due to poor access to testing agencies. However, after fully exploiting the potential testing facilities, the comprehensive accessibility of testing facilities was significantly improved, and the inequity in the accessibility to testing facilities was effectively alleviated, which significantly improved the equity of the allocation of testing facilities in Haishu District. The leveraging of current medical facilities to boost the number of testing facilities in rural areas could eliminate the disparity of resource distribution caused by urban and rural binary opposition, and could quickly identify external sources of COVID-19 in rural areas in the post-epidemic period. Moreover, efficient COVID-19 testing combined with the travel records of infection carriers can effectively identify unknown infection cases and obviate large-scale infection outbreaks.

Improving ecosystem services supply provides insights for sustainable landscape planning: A case study in Beijing, China

Promoting land use planning through ecosystem service (ES) protection is a crucial approach for maintaining landscape sustainability. Identifying ES bundles to serve landscape functional zoning can provide a new perspective for sustainable land use planning. Taking the Beijing metropolitan region as a study area, we quantitatively assessed the spatiotemporal distributions of multiple ESs, from 1980 to 2017, based on land use changes. By combining ES patterns and comprehensive ecosystem service (CES), distinct ES bundles were identified through the clustering method. Based on the ES bundles, landscape functional zones were then established. We further developed improved land use scenarios to conserve ESs in selected towns of different functional zones by exploring dominant factors influencing ESs. Results showed that most of ESs decreased due to the expansion of developed lands. According to the classification of ES bundles, Beijing can be classified into three landscape functional zones at town level: the ecological conservation region (ECR), food production region (FPR), and urban development region (UDR). For each landscape functional zone, the town with the greatest decline in CES value was selected. Associated with the influencing factors of ESs, local land use patterns, and ecological protection policies, corresponding multi-step improved land use scenarios were designed. These scenarios were demonstrated to be effective in conserving ESs in the selected towns: (1) the agricultural expansion scenario, which enhanced food provision services in the ECR; (2) the forest conservation scenario, which enhanced habitat and recreational services in the FPR; and (3) the developed land optimization scenario, which enhanced a range of regulating services in the UDR. Overall, this study used landscape functional zoning as a nexus to connect ES patterns and land use management. The optimized land use strategies can provide references for conserving ESs and enhancing landscape sustainability in Beijing and other similar metropolitan areas worldwide.

Greenspace to Meet People’s Demand: A Case Study of Beijing in 2005 and 2015

Urban greenspace provides essential benefits and often depends on its distribution and spatial relationship with residents. Many cities set ambitious goals to increase the coverage of greenspace. In addition, to increase the total amount of greenspace, spatial patterns of greenspace supply and demand also need to be taken into account to make sure its ecosystem services can reach the residents. While previous research has examined greenspace distribution, its association with various ecosystem services, and its spatial relationship with residents’ socioeconomic characteristics, relatively few studies have considered the spatial pattern of greenspace demand to assess its supply change over time. To fill this gap, we evaluated the greenspace change of Beijing between 2005 and 2015 using 2.5 m and 0.5 m high resolution remote sensing images. We first identified all of the greenspace changes, then evaluated the improvement of greenspace that was accessible to residents, and finally, we examined whether such improvement met different levels of demand estimated by neighborhood population, age structure, and economic status. The results showed a net increase of 1472 ha (7.8%) from 2005 to 2015. On average, percent greenspace within 500 m of the neighborhood boundary increased from 21% to 24%. Areas with low greenspace supply had a significantly higher increase. The standard deviation reduced from 8% to 7%, which indicated a smaller disparity of accessible greenspace. However, results showed that greenspace increase had little variation among neighborhoods with different demand levels. Our findings indicated that the greening efforts improved spatial distribution and reduced inequality in accessibility but failed to address different demand levels among neighborhoods. Furthermore, we identified neighborhoods with low supply/high demand and that lost greenspace between 2005–2015. These neighborhoods need to be given attention in future greening projects.

Environmental and socioeconomic factors influencing the use of urban green spaces in Coimbra (Portugal)

Urban green spaces (UGS) deliver a wide range of regulating, provisioning and cultural ecosystem services (CES), relevant to support the achievement of some United Nations Sustainable Development Goals (e.g., Goal 11: sustainable cities and communities, and Goal 3: good health and well-being). However, knowledge of preferences and uses of UGS by urban dwellers is still lacking. This study assesses the CES perceived by different users in five distinct urban parks located in Coimbra, Portugal: Manuel Braga (secular park), Botanical garden, Choupal national forest, Mondego green park (large area placed next to the river), and Vale das Flores (linear park located in a residential area). A questionnaire survey was performed in each park to investigate the activities performed and their relevance for the users, users' motivations to develop the activities on that specific UGS, the perceived benefits regarding physical and emotional well-being and social interactions, and users' perception about disservices. The results showed that walking, meeting people, practicing and doing activities with children are the activities performed by most users and are perceived as beneficial for physical and emotional well-being. Multifunctionality is a characteristic of all parks and highly appreciated by the users. Significant differences in socio-demographic characteristics of the users and motivations are recorded between parks. The tranquillity of space and landscape beauty are the main motivations to use Manuel Braga Park and the Botanical garden. Distance to the park and transportation means are particularly important for Botanical garden and Vale das Flores park users. Age group and average monthly income were associated in both Choupal national forest, Mondego green park and Vale das Flores park, denoting that older and wealthier users are more able to enjoy these parks. Users' problems or ecosystem disservices were not identified, although plagues (e.g., mosquitoes) and dangerous animals recorded average concerns in the Choupal national forest and in the Vale das Flores and Mondego green parks. This work's findings can help decision-makers better understand users' needs and expectations, thus improving UGS design and management to attract more citizens.

Urban Green Infrastructure and Sustainable Development: A Review

Urban green infrastructure (UGI) can alleviate many of the problems that the growing urban population is facing. This study performed a literature review about UGI and sustainable development (SD) using the Web of Science (WoS) and the software VOSviewer. Of 195 papers selected, 89 are qualitative, focusing on theoretical approaches and design; equally, 89 are quantitative, dealing with metrics and spatial analysis and 17 combined both approaches. A high connectivity between “green infrastructure”, “ecosystem services”, “urban planning” and “sustainable development” was observed. Only 39 of the documents embrace environmental, social and economic aspects. Most of the papers are related to Sustainable Development Goal (SDG) 11, “to make cities inclusive, safe, resilient and sustainable” and SDG 15, “protect, restore and promote sustainable use of terrestrial ecosystems”. Further research integrating the three pillars of sustainability and relating UGI to all the SDGs is recommended.

Factors Influencing the Visitation and Revisitation of Urban Parks: A Case Study from Hangzhou, China

Visitors’ satisfaction and willingness to revisit urban parks are closely linked to park longevity. However, few details of this relationship have been studied. We explored the factors influencing urban park use and factors motivating revisitation in six urban parks in Hangzhou, China. Data from 600 park visitors were collected over three months using a face-to-face questionnaire. These included socio-demographic data, residential data, personal characteristics, park satisfaction, motivations for visit, and other information. A hierarchical regression model was applied to analyze the contribution of each variable to visitation by park users. Physical and mental benefits and previous positive experiences were the main factors motivating park visitation. Age and distance to the nearest park were the main factors driving park revisitation, and they were positively and negatively correlated with visitation frequency, respectively. Long-term and short-term residents, who commute by cycling or walking, made up the majority of park visitors. Interestingly, park features had no significant impact on revisitation. Weather and time limitations were major factors limiting visitation to parks, and traffic and inadequate park facilities limited revisitation. Our results could be useful for urban planners as they develop guidelines to improve visitor satisfaction and promote the longevity of urban parks.