Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 114, P. 107895 - 107895
Published: March 5, 2025
Language: Английский
Citations
2Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 122047 - 122047
Published: Aug. 2, 2024
Language: Английский
Citations
5Published: Jan. 1, 2025
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 4946 - 4946
Published: June 9, 2024
The high-quality economic growth of tourism is intimately related to a city’s overall strength, and urban resilience an important index measure the comprehensive strength city. Therefore, determining how enhance construction resilience, improve quality development, promote coupling coordination these two systems has attracted academic attention in recent years. Based on panel data 13 cities Beijing–Tianjin–Hebei region from 2010 2021, entropy weight method, model, obstacle degree model were used analyze degree, spatiotemporal evolution characteristics, factors between economy. results show following: (1) Urban tourist development levels upward trend, both them obvious spatial differences. (2) economy shows trend first rising then declining temporal dimension, while it differentiation pattern “high middle low surrounding area” dimension. (3) structure relatively stable, with as leading system benefits system. In future, needs strengthen regional cooperation, driving role central cities, continuously
Language: Английский
Citations
3Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 111, P. 107734 - 107734
Published: Nov. 23, 2024
Language: Английский
Citations
1Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10860 - 10860
Published: Dec. 11, 2024
Urban resilience and urban land use efficiency are inevitable topics in planning development, the coupling coordination between two will contribute substantially to sustainability. With panel data from 14 cities Hunan 2010 2021 by combining entropy method, Super-SBM model, degree this study analyzed dynamic spatial–temporal evolution pattern of utilization their through a multi-dimensional evaluation index system 2021. The main findings were as follows: overall, stayed low over years study. Temporally, mean increased gradually 0.1962 0.3331, spatially, was higher eastern region than western area province, with Changsha having highest level resilience. Second, rose volatility 0.7162 0.9299, northern southern region, Zhangjiajie efficiency. Third, province had high efficiency, average value 0.8531, degrees observed Chang–Zhu–Tan agglomeration province. Fourth, moderate across rising 0.5788 0.6453, marginally coordinated primarily coordinated, where degree. All state level. highly state. research here is expected provide some references for administrators beyond release policies that achieve stronger resilience, better coordination.
Language: Английский
Citations
1Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132040 - 132040
Published: Sept. 1, 2024
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0