In 2014, China adjusted its "city categorization standard." The newly defined megalopolises and metropolises are under unprecedented pressure from various eco-environmental problems, making them suitable representatives for exploring the state of urban ecosystem health. In this study, we establish a two-layer indicator system to assess the urban ecosystem health and choose 33 indicators grouped into social, economic, transportation, facility, land, and management subsystems, with the aim of correlating human activities with the structure, vigor, resilience, and health of the urban ecosystem. We integrate subjective and objective methods to determine weights at different levels through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the analytic hierarchy process, and information entropy. In particular, we develop a spatial TOPSIS technique by introducing a Euclidean-distance-based weight to rank the health of the cities' ecosystem in terms of the spatial effects among these cities. The results reveal that megalopolises such as Beijing, Shanghai, and Guangzhou have superior social and economic subsystems, whereas other megacities have advantages in transportation, facility, land, and management subsystems. From 2005 to 2010, the gaps among these cities in terms of urban ecosystem health significantly reduced regardless of the weight determination method. Not all indicators involved can help realize a better urban ecosystem. Nevertheless, they provide a reference point for making specific regulations to control human activity and improve eco-environmental management.
Chinese cities are experiencing rapid urban expansion and being transformed into more dispersed urban form which necessitate the quantification of fine-scale intra-urban characteristics for sustainable urban development. We propose an integrated multi-level and multi-dimensional method to characterize urban sprawl and apply it to Wuhan, a typical metropolitan area in central China from 1996 to 2006. The specifications of levels are parcel at micro-level, district at meso-level and metropolitan area at macro-level. The measurements are implemented in seven dimensions: composition, configuration, gradient, density, proximity, accessibility and dynamics. Metrics are assigned to each dimension and innovative metrics such as derived contagion index, distance-based correlation coefficient and weighted centroid migration are defined to quantify the sprawling process. This bottom-up approach is capable of exploring spatio-temporal variation of urban growth at finer scales, capturing the multi-dimensional features of urban sprawl and providing policy implications for authorities at different levels. The results reveal that industrial sites and built-up land for special use are the most scattered and randomly distributed land use types, parcels and districts at the urban fringe present higher fragmentation than those in the urban core areas and urban expansion is largely enforced by assigning development zones. OPEN ACCESSSustainability 2014, 6 3572
Regional land use transitions driven by the adaptive reconciliation of existing land use conflict with socioeconomic development can lead to positive economic effects as well as new land use conflict. Although research on land use transition has progressed considerably, limited studies have explored the spatiotemporal dynamic pattern of land use conflict during the land use transition period. Previous evaluation approaches on land use conflict that mainly focus on status or potential conflict lack conflict intensity evaluation during the land use transition process. A new spatially explicit evaluation framework of land use conflict that directly examines three aspects of conflict, namely, ecological and agricultural (EAC), agricultural and construction (ACC), and ecological and construction (ECC) land conflicts based on ecological quality and agricultural suitability, is proposed in this study. The spatiotemporal dynamic pattern and driving factors of land use conflict in the Yangtze River Economic Belt of China in the period of 2000–2018 are evaluated. The results indicated that comprehensive land use conflict (CLUC) intensity slightly decreased by 9.91% and its barycenter showed a trend toward the west during 2000–2018. ACC is the most drastic conflict among the three aspects of conflict. The mean intensity of ACC reduced remarkably by 38.26%, while EAC increased by 33.15% and ECC increased by 28.28% during the research periods. The barycenter of EAC moved toward the east while the barycenter of ACC and ECC moved toward the west. The changes in the intensity and spreading pattern of land use conflict indices demonstrated the changes in the pattern of territorial space development. Total population, population density, per capita GDP, number of mobile phone users, and road density were strong drivers that influenced the land use conflict of territorial space. Multiple policy recommendations including improving territorial space planning and governance ability, and improving land use efficiency, were proposed to manage and resolve the land use conflict of territorial space. The results and conclusions of this study will help improve future regional land use policies and reduce land use conflict.
Urban leisure venues proffer spatial carriers for citizens' leisure activities and their functions rely heavily on the spatial configuration, which have largely been ignored. The increasing needs for healthy leisure life and the availability of geospatial open data provide a rising opportunity to fill this gap. To examine the spatial distribution of leisure venues and explore its underlying dominating factors, we adopt geospatial analysis techniques-point pattern analysis and cluster analysis with multi-sources geospatial data in Wuhan, Central China. Results conclude interesting spatial discrepancy based on a three-level clustered pattern of 86,520 leisure venues. We find that (1) most clusters are in urban center along the Yangtze River with all 1st-level clusters and plentiful 2nd-level and 3rd-level clusters; (2) There are just sporadic clusters in suburban areas-no 1st-level, merely one 2nd-level and some few 3rd-level ones. Moreover, we demonstrate three underlying dominating factors (i.e., the policy, population and economy) and identify that (1) No systematic (spatial-relevant) leisure policy framework is formed; (2) Population density and commercial centers have positive correlation with the distribution of leisure venues. This study contributes to spatial-relevant leisure policy-making for facilitating healthy leisure life, optimizing leisure space, guiding people-oriented urbanization transition and promoting urban competence.
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