Compatibility mix degree index: A novel measure to characterize urban land use mix pattern. (May 2019)
- Record Type:
- Journal Article
- Title:
- Compatibility mix degree index: A novel measure to characterize urban land use mix pattern. (May 2019)
- Main Title:
- Compatibility mix degree index: A novel measure to characterize urban land use mix pattern
- Authors:
- Zhuo, Yuefei
Zheng, Hongyu
Wu, Cifang
Xu, Zhongguo
Li, Guan
Yu, Zhenning - Abstract:
- Abstract: The mixing of land uses lies at the core of understanding their characteristics in cities. Some existing land use mix measures have been used to quantify the mix degree from different perspectives. However, these existing indices mainly cover only two dimensions of the land use mix concept, namely, distance and quantity, and cannot effectively delineate the picture of land use mix. Thus, we propose a new quantification framework of land use mix by involving a third dimension, that is, the "attribute" level of the land use mix concept. On the basis of this framework, we develop a novel measure called (weighted) vector-based mix degree index (VMDI/WVMDI) to address the compatibility mix degree by incorporating the compatibility relations between different land uses. This novel measure adopts vector land use data and compatibility relations. To some extent, VMDI/WVMDI can overcome some of the deficiencies of existing land use mix measures. We select Guangzhou as a study area in evaluating the proposed measure. In addition, the "head/tail breaks" classification scheme is employed for results with heavy-tailed distribution. By using this scheme, we clearly identify several clustered regions of land use mix in Guangzhou, which might be useful for urban planners and policy makers. Compared with some traditional measures, VMDI/WVMDI can be more efficient in depicting the compatibility relation between land use parcels. Highlights: A more effective quantification frameworkAbstract: The mixing of land uses lies at the core of understanding their characteristics in cities. Some existing land use mix measures have been used to quantify the mix degree from different perspectives. However, these existing indices mainly cover only two dimensions of the land use mix concept, namely, distance and quantity, and cannot effectively delineate the picture of land use mix. Thus, we propose a new quantification framework of land use mix by involving a third dimension, that is, the "attribute" level of the land use mix concept. On the basis of this framework, we develop a novel measure called (weighted) vector-based mix degree index (VMDI/WVMDI) to address the compatibility mix degree by incorporating the compatibility relations between different land uses. This novel measure adopts vector land use data and compatibility relations. To some extent, VMDI/WVMDI can overcome some of the deficiencies of existing land use mix measures. We select Guangzhou as a study area in evaluating the proposed measure. In addition, the "head/tail breaks" classification scheme is employed for results with heavy-tailed distribution. By using this scheme, we clearly identify several clustered regions of land use mix in Guangzhou, which might be useful for urban planners and policy makers. Compared with some traditional measures, VMDI/WVMDI can be more efficient in depicting the compatibility relation between land use parcels. Highlights: A more effective quantification framework of land use mix is proposed. A novel measure is developed to address the compatibility mix degree among different land uses. The "Head/tail breaks" classification scheme is adopted to reveal the underlying scaling pattern of outcomes in Guangzhou. By comparing with previous measures, this measure shows some superior at the quantification of compatibility relations. … (more)
- Is Part Of:
- Computers, environment and urban systems. Volume 75(2019)
- Journal:
- Computers, environment and urban systems
- Issue:
- Volume 75(2019)
- Issue Display:
- Volume 75, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 75
- Issue:
- 2019
- Issue Sort Value:
- 2019-0075-2019-0000
- Page Start:
- 49
- Page End:
- 60
- Publication Date:
- 2019-05
- Subjects:
- Land use mix -- Mix degree index -- Compatibility relation -- Head/tail breaks, China
City planning -- Data processing -- Periodicals
Regional planning -- Data processing -- Periodicals
303.4834 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01989715 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compenvurbsys.2019.01.005 ↗
- Languages:
- English
- ISSNs:
- 0198-9715
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.914000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9623.xml