Land-use/land-cover change (LUCC) is an important factor affecting carbon storage. It is of great practical significance to quantify the relationship between LUCC and carbon storage for regional ecological protection and sustainable socio-economic development. In this study, we proposed an integrated framework based on multiobjective programming (MOP), the patch-level land-use simulation (PLUS) model, and the integrated valuation of ecosystem service and trade-offs (InVEST) model. First, we used the InVEST model to explore the spatial and temporal evolution characteristics of carbon storage in Hangzhou from 2000 to 2020 using land-cover data. Second, we constructed four scenarios of natural development (ND), economic development (ED), ecological protection (EP), and balanced development (BD) using the Markov chain model and MOP, and then simulated the spatial distribution of land cover in 2030 with the PLUS model. Third, the InVEST model was used to predict carbon storage in 2030. Finally, we conducted a spatial correlation of Hangzhou’s carbon storage and delineated carbon storage zoning in Hangzhou. The results showed that: (1) The artificial surfaces grew significantly, while the cultivated land decreased significantly from 2000 to 2020. The overall trend was a decrease in carbon storage, and the changing areas of carbon storage were characterized by local aggregation and sporadic distribution. (2) The areas of artificial surfaces, water bodies, and shrubland will continue to increase up to 2030, while the areas of cultivated land and grassland will continue to decrease. The BD scenario can effectively achieve the multiple objectives of ecological protection and economic development. (3) The carbon storage will continue to decline up to 2030, and the EP scenario will have the highest carbon storage, which will effectively mitigate the carbon storage loss. (4) The spatial distribution of carbon storage in Hangzhou was inextricably linked to the land cover, which was characterized by a high–high concentration and a low–low concentration. The results of the study can provide decision support for the sustainable development of Hangzhou and other cities in the Yangtze River Delta region.
Community public service facilities have a primary supportive role in the health of the elderly. Under the background of global aging, it has become vital to evaluate the elderly-adaptability of their layouts. Based on the supply and demand interaction perspective, this study used the questionnaire-AHP-2SFCA method for this purpose. Firstly, taking the six main districts of Hangzhou as an example, we analyzed the spatial distribution characteristics of the elderly population, and a weight index table of the health importance of public service facilities was constructed using a questionnaire survey and the AHP method. Secondly, the improved 2SFCA was used to analyze the accessibility of public service facilities in Hangzhou, and combined with the weight index table, the elderly-adaptability of public service facilities in the community life circle was comprehensively evaluated. Finally, the demands of the elderly and the supply of public service facilities in the same region were superimposed to study the differential pattern of supply and demand. The results showed the following: (1) The communities with the largest elderly population are mainly concentrated in Shangcheng District, Xiacheng District, the north of Gongshu District, the west of Jianggan District, and the north of Binjiang District. (2) Green space facilities in parks are most important to the health of the elderly, with a weight of 0.46. (3) The overall evaluation results of the community life circle in the study area were good, and the proportion of areas above the medium level was more than 50%. This showed that the concepts of “neighborhood center” and “big community elderly care” in Hangzhou have achieved initial positive results. (4) Based on the interaction between supply and demand, the research area can be divided into four patterns: supply and demand balance, supply shortage, demand gap, and low supply and demand. The results of this study will help to improve the layout and aging-friendly status of community life circle facilities in Hangzhou, and provide information for other aging cities.
Demand planning-oriented research on nighttime urban lighting provides a foundation for formulating strategies to eliminate dark areas and reduce light pollution. In this paper, Binjiang District of Hangzhou was investigated. Four factors, namely land-use type, road grade, parcel volume, and nighttime crowds, were evaluated. Based on the spatiotemporal geographic data and the urban lighting planning of Hangzhou, a calculation method for the supply and demand of urban lighting at night in Hangzhou was constructed. In this process, the current state of lighting brightness in different areas of the district were calculated and compared with the results of the total lighting demand to analyze reasonableness. The research results show that according to the actual lighting demand classification, the first to fifth levels of lighting control zones accounted for 1.84%, 19.69%, 49.61%, 21.74%, and 7.12% of the total statistical land area of the district, respectively. Focus should thus be placed on the second, third, and fourth levels of lighting control zones when covering lighting demand. Importantly, areas with unreasonable supply and demand for lighting construction accounted for 20.8% of the total statistical land area, indicating that the nighttime lighting demand and carbon emissions in the Riverside District should be adjusted and optimized. This paper proposes a research method to compare supply and demand for the planning and construction of nighttime urban lighting, which can improve the science on lighting demand measurement.
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