Next Article in Journal
Neurotourism Aspects in Heritage Destinations: Modeling the Impact of Sensory Appeal on Affective Experience, Memory, and Recommendation Intention
Previous Article in Journal
Improving Wind Environment in Low-Rise Residential Areas of Bangi-Dong, Seoul: Enhancing Natural Ventilation Performance Through CFD Simulation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

Correction: Xie et al. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679

1
Leibniz Institute of Ecological Urban and Regional Development, 01217 Dresden, Germany
2
Dresden Leibniz Graduate School, Technical University of Dresden, 01217 Dresden, Germany
3
Graduate School of Environmental Studies, Nagoya University, Nagoya 464-8601, Japan
*
Authors to whom correspondence should be addressed.
Sustainability 2025, 17(18), 8474; https://doi.org/10.3390/su17188474
Submission received: 31 July 2025 / Accepted: 4 September 2025 / Published: 22 September 2025
The authors would like to make the following corrections about the published paper [1]. The changes are as follows:
Authors would like to change twelve parts of the table content, so we need to replace the original Table 1:
Table 1. Built-up areas, population numbers and urban sprawl metrics for the study areas calculated separately for the inner-city areas and outer areas for the time frames 1975 and 2014/2015.
Table 1. Built-up areas, population numbers and urban sprawl metrics for the study areas calculated separately for the inner-city areas and outer areas for the time frames 1975 and 2014/2015.
CityZonesBuilt-up Area [km2]Population [Millions]PBA%LUPp [m2/Person]DIS [UPU/m2]WUPp [UPU/m2]
197520141975201519752014197520151975201419752015
Frankfurt am MainInner-city52.955.30.2320.2978.814.4227.5186.448.78548.85141.43037.662
+27.4%+4.4%−18.1%+0.1%−9.1%
Outer area740.01189.53.2853.8068.814.4225.3312.644.78046.2353.9477.996
+15.9%+60.7%+38.7%+3.2%+102.6%
LondonInner-city1336.21484.77.60110.26470.378.1175.8144.648.37848.53128.89323.498
+35.0%+11.1%−17.7%+0.3%−18.7%
Outer area893.01459.44.8785.8646.510.6183.1248.945.27546.4932.2254.905
+20.2%+63.4%+36.0%+2.7%+120.4%
SeoulInner-city337.7423.98.19.68.814.441.744.348.42648.6760.0010.003
+18.3%+25.5%+6.1%+0.5%+196.7%
Outer area232.0940.83.711.18.814.463.284.444.96147.3810.0040.230
+203.7%+305.5%+33.5%+5.4%+5272.6%
Inner-city areas of London and Seoul include partial areas of neighboring municipalities. All parameters were derived from the GHSL dataset and therefore can vary from official statistical data. (PBA: percentage of built-up area, LUPp: land uptake per inhabitant, DIS: spatial dispersion of settlement patches, WUPp: Weighted Urban Proliferation based population without workplaces). (Data source: own calculation based on GHSL).
with
Table 1. Built-up areas, population numbers and urban sprawl metrics for the study areas calculated separately for the inner-city areas and outer areas for the time frames 1975 and 2014/2015.
Table 1. Built-up areas, population numbers and urban sprawl metrics for the study areas calculated separately for the inner-city areas and outer areas for the time frames 1975 and 2014/2015.
CityZonesBuilt-Up Area [km2]Population [Millions]PBA%LUPp [m2/Person]DIS [UPU/m2]WUPp [UPU/m2]
197520141975201519752014197520151975201419752015
Frankfurt am MainInner-city52.955.30.2320.29780.283.7227.5186.448.78548.85141.43037.662
+27.4%+4.4%−18.1%+0.1%−9.1%
Outer area740.01189.53.2853.80610.316.6225.3312.644.78046.2353.9477.996
+15.9%+60.7%+38.7%+3.2%+102.6%
LondonInner-city1336.21484.77.60110.26470.378.1175.8144.648.37848.53128.89323.498
+35.0%+11.1%−17.7%+0.3%−18.7%
Outer area893.01459.44.8785.8646.510.6183.1248.945.27546.4932.2254.905
+20.2%+63.4%+36.0%+2.7%+120.4%
SeoulInner-city337.7423.98.0909.57056.270.541.744.348.42648.6760.0010.003
+18.3%+25.5%+6.1%+0.5%+196.7%
Outer area232.0940.83.66911.1442.39.263.284.444.96147.3810.0040.230
+203.7%+305.5%+33.5%+5.4%+5272.6%
Inner-city areas of London and Seoul include partial areas of neighboring municipalities. All parameters were derived from the GHSL dataset and therefore can vary from official statistical data. (PBA: percentage of built-up area, LUPp: land uptake per inhabitant, DIS: spatial dispersion of settlement patches, WUPp: Weighted Urban Proliferation based population without workplaces). (Data source: own calculation based on GHSL).
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Xie, X.; Kang, H.; Behnisch, M.; Baildon, M.; Krüger, T. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679. [Google Scholar] [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Xie, X.; Kang, H.; Behnisch, M.; Baildon, M.; Krüger, T. Correction: Xie et al. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679. Sustainability 2025, 17, 8474. https://doi.org/10.3390/su17188474

AMA Style

Xie X, Kang H, Behnisch M, Baildon M, Krüger T. Correction: Xie et al. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679. Sustainability. 2025; 17(18):8474. https://doi.org/10.3390/su17188474

Chicago/Turabian Style

Xie, Xiaoping, Hanna Kang, Martin Behnisch, Martin Baildon, and Tobias Krüger. 2025. "Correction: Xie et al. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679" Sustainability 17, no. 18: 8474. https://doi.org/10.3390/su17188474

APA Style

Xie, X., Kang, H., Behnisch, M., Baildon, M., & Krüger, T. (2025). Correction: Xie et al. To What Extent Can the Green Belts Prevent Urban Sprawl?—A Comparative Study of Frankfurt am Main, London and Seoul. Sustainability 2020, 12, 679. Sustainability, 17(18), 8474. https://doi.org/10.3390/su17188474

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop