标题: New indices to capture the evolution characteristics of urban expansion structure and form

作者: Liu, JF (Liu, Jiafeng); Jiao, LM (Jiao, Limin); Zhang, B (Zhang, Boen); Xu, G (Xu, Gang); Yang, LD (Yang, Ludi); Dong, T (Dong, Ting); Xu, ZB (Xu, Zhibang); Zhong, J (Zhong, Jing); Zhou, ZZ (Zhou, Zhengzi)

来源出版物: ECOLOGICAL INDICATORS卷: 122文献号: 107302 DOI: 10.1016/j.ecolind.2020.107302出版年: MAR 2021

摘要: A quantitative description is the basis for correctly understanding the urban expansion process. Previous approaches were dedicated to identifying expansion types based on the boundary sharing rate, thereby depicting the evolution of urban expansion. These methods, however, focused on describing neighborhood relations and ignored urban global expansion structure and form information. In this study, we first propose a new index, the location centrality index (LCI), to capture the expansion structure characteristics by incorporating an "area-inverse distance" weighting algorithm and geometric features. Then, we propose another index, the location centrality aggregation index (LCAI), to depict the heterogeneous evolution of urban form by considering the attribute of the new patch. The location centrality and location aggregation types are identified to reflect the effect of new patches on the urban expansion structure and form based on LCI and LCAI, respectively. Two variants of LCI and LCAI are also proposed to reflect the global bottom-up characteristics of urban expansion. The LCI and LCAI were verified using four periods of Landsat images (1995, 2000, 2005, and 2010) of the Wuhan metropolitan area, China. The results show that the overall development trend of the expansion structure in the Wuhan metropolitan area was toward decentralization. The urban form had become generally separated, but tended toward aggregation from 2005 to 2010. Our findings also reveal that the LCI fills the gap in the dynamic assessment of urban expansion with previous indices by explicitly uncovering global structure characteristics. The LCAI achieves better performance than previous indices in identifying heterogeneous aggregation.

入藏号: WOS:000613221900010

语言: English

文献类型: Article

作者关键词: Urban expansion process; Dynamic spatial metrics; Urban structure; Urban form; Location centrality index (LCI); Location centrality aggregation index (LCAI)

KeyWords Plus: LAND-USE CHANGE; SPATIOTEMPORAL DYNAMICS; PATTERNS; GROWTH; SPRAWL; COMPACTNESS; IMPACTS; CITIES; REGION

地址: [Liu, Jiafeng; Jiao, Limin; Yang, Ludi; Dong, Ting; Xu, Zhibang; Zhong, Jing; Zhou, Zhengzi] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

[Zhang, Boen] Hong Kong Polytech Univ, Dept Land Surveying & Geo Informat, Hong Kong, Peoples R China.

[Xu, Gang] Wuhan Univ, Sch Remote Sensing & Informat Engn, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

通讯作者地址: Jiao, LM (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: liujiafeng@whu.edu.cn;lmjiao@whu.edu.cn

影响因子：4.229