Spatial-Temporal Monitoring of Urban Growth: A Case in Kunming, Southwest China

Liu, Min; Zhang, Zhiming; Zhang, Hongli; Yang, Mingyu; Ding, Song; Ou, Xiaokun

doi:10.1007/978-3-662-49155-3_11

Cited by 2 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To accommodate all the migrants and the natural population growth in cities, urban areas need to expand [5]. For example, in Kunming, there has been a strong urbanisation in the past ten years [8] and it is expected to further increase in the future [9]. In addition to the general drivers of urbanisation in China [10], Kunming's urbanisation is also driven by local planning policies and topographic and proximity factors.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Revealing Kunming’s (China) Historical Urban Planning Policies Through Local Climate Zones

et al. 2019

Self Cite

View full text Add to dashboard Cite

Over the last decade, Kunming has been subject to a strong urbanisation driven by rapid economic growth and socio-economic, topographical and proximity factors. As this urbanisation is expected to continue in the future, it is important to understand its environmental impacts and the role that spatial planning strategies and urbanisation regulations can play herein. This is addressed by (1) quantifying the cities’ expansion and intra-urban restructuring using Local Climate Zones (LCZs) for three periods in time (2005, 2011 and 2017) based on the World Urban Database and Access Portal Tool (WUDAPT) protocol, and (2) cross-referencing observed land-use and land-cover changes with existing planning regulations. The results of the surveys on urban development show that, between 2005 and 2011, the city showed spatial expansion, whereas between 2011 and 2017, densification mainly occurred within the existing urban extent. Between 2005 and 2017, the fraction of open LCZs increased, with the largest increase taking place between 2011 and 2017. The largest decrease was seen for low the plants (LCZ D) and agricultural greenhouse (LCZ H) categories. As the potential of LCZs as, for example, a heat stress assessment tool has been shown elsewhere, understanding the relation between policy strategies and LCZ changes is important to take rational urban planning strategies toward sustainable city development.

show abstract

Section: Introductionmentioning

confidence: 99%

“…In addition to the general drivers of urbanisation in China [10], Kunming's urbanisation is also driven by local planning policies and topographic and proximity factors. Economic and demographic factors mainly influence the urban expansion rate, while natural and policy factors mainly affect the spatial form [9].…”

Section: Introductionmentioning

confidence: 99%

Revealing Kunming’s (China) Historical Urban Planning Policies Through Local Climate Zones

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…The long‐term dynamic monitoring of urban development and land use efficiency is not only the basis of controlling low‐quality urban expansion, but also an important reference for urban land use planning and renewal (Calvo, Oña, & Arán, 2012; Liu, Yang, Chen & Ulgiati, 2014; Liu, Zhang, Zhang, Yang, & Ou, 2016; Taghipour Javi et al, 2014; Tomao et al., 2017; Zitti et al., 2015). The existing research on urban land use efficiency is mainly carried out on two levels: city level and block level.…”

Section: Discussionmentioning

confidence: 99%

“…It is speculated that the industrial land in the northern coastal area is mainly used for shipping and warehousing, which is less dependent on financial institutions compared to general industrial land with a high demand for labor. The long-term dynamic monitoring of urban development and land use efficiency is not only the basis of controlling low-quality urban expansion, but also an important reference for urban land use planning and renewal (Calvo, Oña, & Arán, 2012;Liu, Yang, Chen & Ulgiati, 2014;Liu, Zhang, Zhang, Yang, & Ou, 2016;Taghipour Javi et al, 2014;Tomao et al, 2017;Zitti et al, 2015). The existing research on urban land use efficiency is mainly carried out on two levels: city level and block level.…”

Section: Com_mwmentioning

confidence: 99%

Parcel‐level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China

Zhu

Liu

et al. 2021

Transactions in GIS

View full text Add to dashboard Cite

Parcel‐level evaluation of urban land use efficiency is necessary for city administrations to understand land use status and problems, and to further optimize land use pattern and policy. However, existing research on urban land use efficiency is mainly carried out at city level or block level, and it is difficult to meet the demand for rapid access to fine‐grained land use efficiency across the entire city. In view of this problem, this article proposes a parcel‐level evaluation method of urban land use efficiency based on multisource spatiotemporal data, including an evaluation index system for parcel‐level land use efficiency, quantitative representation of evaluation indexes based on multisource spatiotemporal data, and a land use efficiency calculation model. The proposed method is then applied to China's Ningbo City, and the evaluation accuracy is 78% compared with the officially reported data and on‐site investigation. Experimental results also show that urban land use efficiency is strongly spatially autocorrelated in Ningbo City, and reveal the impact patterns of factors such as planning policy, facilities, traffic conditions and environmental conditions on the utilization efficiency of different types of land. This research has proved able to accurately evaluate the utilization efficiency of all land parcels across a city in a rapid manner, and to obtain their distribution characteristics and correlation factors. It can further provide data and technical support for formulating targeted urban planning policies and implementing scientific land development.

show abstract

Spatial-Temporal Monitoring of Urban Growth: A Case in Kunming, Southwest China

Cited by 2 publications

References 14 publications

Revealing Kunming’s (China) Historical Urban Planning Policies Through Local Climate Zones

Revealing Kunming’s (China) Historical Urban Planning Policies Through Local Climate Zones

Parcel‐level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China

Contact Info

Product

Resources

About