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Park City is a new concept for sustainable urban development. Urban Parks are the core of Park City, where park accessibility is the central index of park services. Previous studies have been conducted primarily from residents' perspective, based on the "O-D" (origin to destination) model to access the park accessibility. However, urban parks should be considered a place supporting the coexistence of tourists and residents. Moreover, tourists' movement patterns differ from those of residents, which are expressed as "no turning back" and traverse circular or nodal routes. Consequently, this paper proposes that the traditional "O-D" model be expanded to be consistent with the movement patterns of tourists. This paper employs Park City Chengdu as an exemplar and proposes a "D-D" (destination to destination) model to facilitate further park accessibility. The calculation process was based on a multiple transportation mode measure with multiple time thresholds, entrances, and exits, supported by Web API. The results reveal the key time nodes and park accessibility rankings for four transportation modes. In particular, the park accessibility presents a "dual-core, several sub-centers and cluster-types" circle structure. Furthermore, the park accessibility in Chengdu was generally balanced, except within 25 min, as well as walking and public transport. This paper provides new hypothetical perspectives and practical experiences for studying urban park accessibility, and novel ideas for parks' sites and distribution while serving as a model for cities worldwide for sustainable urban development. • "D-D" (destination to destination) model based on the travel behaviors of tourists to facilitate park accessibility • Multiple transportation mode, time thresholds and entrances and exits, supported by Web API • Determine the transportations' weights and time thresholds for spatial analysis by data itself • New ideas for urban parks' sites and distributions • "Park Stepping Stones" to form park networks based on "D-D" model results [ABSTRACT FROM AUTHOR]

Changes in land-use, caused by rapid urbanization, lead to changes in the supply and demand for ecosystem services. Significant research has been conducted to investigate the impact of changes in the physical supply of ecosystem services on their value. However, quantifying the effects of simultaneous changes in supply and demand on the scarcity value of ecosystem services can provides a more reasonable assessment of ecosystem services, guiding their sustainable use. Therefore, this paper analyzed the changing trend of ecosystem services value in Chengdu in southwestern China from 1995 to 2015 by adjusting the value coefficients with relative changes in scarcity value. Naïve assessment, without considering the supply and demand effect on scarcity value, quantified a decline in the total value of the physical supply of ecosystem services from 1995 to 2015, with a reduction in the areas of cultivated land and woodland. However, the scarcity value of ecosystem services increased from US$ 6.04 billion in 1995 to US$ 12.03 billion (+99.17%) in 2015, when the effects of changes in supply and demand were considered. In addition, the demand for all the public-good ecosystem services increased during the study period, consistenting with Maslow's hierarchy of need and indicating that the demand structure of residents had changed during the process of urbanization. • The value of physical supply of ecosystem services declines along with the development of urbanization. • The scarcity value of ecosystem services has experienced a dramatically increase. • People's demand structure has changed with the increasing value of all the public-good ecosystem services. • The price elasticity of different ecosystem services is a key factor of scarcity value. [ABSTRACT FROM AUTHOR]

• A triangular model for government, social and other capital in China's rural revitalization. • An evaluation framework for land transfer and community building decision making. • Three types of rural restructuring: government-led, farmer self-organising, returned entrepreneur-oriented. In the context of urbanisation and decline of its countryside in the 21st century, the Chinese government has initiated a campaign namely "building a socialist new countryside" in 2006 which is now renamed as "rural revitalisation". Bringing together social capital, government intervention and other capital, we argue that rural revitalisation can be viewed as a process of the interaction between land transfer and community building leading to multiple gains of all stakeholders. Given the predomination of top-down government intervention and external capital investment in its campaign, this paper sheds new light on social capital in terms of not only mobilising community members' participation, but also reaching a balance with interests of government and other stakeholders. The importance of social capital can be illustrated from critical evaluation on governmental pilot projects in the suburban zone of Chengdu, a model municipal in China in urban-rural integration. In particular, this paper aims to address the following questions: How does social capital engage and contribute to rural restructuring for sustainable rural livelihoods? What role can social capital play in the decision making of land transfer and community building? This paper contributes to rural revitalisation and land use debates in three aspects. Firstly, we post a triangular model by bringing together government intervention, social and other capital to emphasize the interwoven nature of the relationship between land transfer and community building for better understanding of the intrinsic dynamics within the communities and their interests interfaced with external stakeholders. Secondly, with respect to the impact of land transfer on sustainable livelihoods, we propose an evaluation framework to account and compare the roles of social capital against government intervention and other conditions in land transfer decision making. Thirdly, applying the above framework to sample villages, we identify three types of rural restructuring: government-led, farmer self-organising, and returned entrepreneur-oriented. Policy implications and further research direction are discussed. [ABSTRACT FROM AUTHOR]

Chengdu, located at the western edge of the Sichuan Basin, is the provincial capital of Sichuan Province. The fertile and well-watered basin has given the city a long and splendid history, which has left significant and lasting imprints on its urban form, landscape and cultural life. In the planned economy period, Chengdu serviced as the economic, cultural, logistical and technological center for southwest China, and built a competitive and broad industrial base which now helps the city maintain its leading position in the region. In 2007, Chengdu was assigned as one of two pioneer cities in coordinating urban–rural development. This paper introduces the urban development of Chengdu as a historical city, summarizes the city’s economic growth, urban spatial transformation and infrastructure construction as a major city in western China, and discusses its recent efforts in coordinating urban–rural development as a pioneering city in China. [ABSTRACT FROM AUTHOR]

• Emerging Infectious Diseases, COVID-19. • This study included a retrospective, single-center case series of 99 consecutively hospitalized patients with confirmed COVID-19 at Chengdu Public Health Clinical Medical Center in Chengdu, China, from January 16 to February 20, 2020. • We collected and analyzed epidemiological, demographic, clinical, laboratory, radiological, and treatment data. We compared outcomes of critically ill patients and noncritically ill patients. • We compared critically ill and noncritically ill patients: p-values for age, C-reactive protein, high-sensitivity troponin T, prothrombin time, fibrin degradation products, D-Dimer, and CD4+ count were p < 0.001; and p-values for hospital days, white blood cell, neutrophil, lymphocyte, creatine kinase isoenzyme, myoglobin, N-terminal brain natriuretic peptide, and CD8+ count were p < 0.05. • Elderly patients had chronic underlying diseases, notably cardiovascular disease. Higher C-reactive protein levels, higher levels of myocardial damage, and higher brain natriuretic peptide levels; lower white blood cells, neutrophils, and lymphocytes; and lower CD4 and CD8 counts could be used for early detection and identification of critically ill patients. In December 2019, Wuhan, China, experienced an outbreak of coronavirus (COVID-19). The number of cases has increased rapidly, but information on the clinical characteristics remains limited. This paper describes the epidemiological and clinical characteristics of COVID-19. Early detection and identification of critically ill patients is necessary to facilitate scientific classification and treatment. This study included a retrospective, single-center case series of 99 consecutively hospitalized patients with confirmed COVID-19 at Chengdu Public Health Clinical Medical Center in Chengdu, China, from January 16 to February 20, 2020. The final date of follow-up was February 23, 2020. We collected and analyzed epidemiological, demographic, clinical, laboratory, radiological, and treatment data. We compared outcomes of critically ill patients and noncritically ill patients. Of the 99 hospitalized patients with COVID-19, the median age was 49 years (minimum, 3 months; maximum, 87 years) and 51 (52 %) were men; 42 (42 %) had traveled to or lived in Wuhan and 48 (49 %) had come into close contact with patients with new coronavirus pneumonia; 41 (41 %) patients had underlying disease. Common symptoms included fever (85 [86 %]), dry cough (84 [85 %]), and fatigue (72 [73 %]). We analyzed the clinical characteristics of patients. We expressed the measurement data as mean ± standard deviation. We collected data for age (49.39 ± 18.45 years), number of hospital days (12.32 ± 6.70 days), and laboratory indicators. We compared critically ill and noncritically ill patients: p-values for age, C-reactive protein, high-sensitivity troponin T, prothrombin time, fibrin degradation products, D-Dimer, and CD4+ count were p < 0.001; and p-values for hospital days, white blood cell, neutrophil, lymphocyte, creatine kinase isoenzyme, myoglobin, N-terminal brain natriuretic peptide, and CD8+ count were p < 0.05. We collected data from a single-center case series of 32 hospitalized patients who were critically ill with confirmed COVID-19 in Chengdu, China, and compared data with 67 noncritically ill patients. Elderly patients had chronic underlying diseases, notably cardiovascular disease. Higher C-reactive protein levels, higher levels of myocardial damage, and higher brain natriuretic peptide levels; lower white blood cells, neutrophils, and lymphocytes; and lower CD4 and CD8 counts could be used for early detection and identification of critically ill patients, and dynamic Data observation was more important than at a single moment. [ABSTRACT FROM AUTHOR]