Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China

AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillsca...
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Autor*in:	Yinchao Xie [verfasserIn] Yijia Zhao [verfasserIn] Wei Liu [verfasserIn] Xuefeng Bai [verfasserIn] Hao Xu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	GIS landscape assessment model city mountain view visual impact assessments

Übergeordnetes Werk:	In: Geocarto International - Taylor & Francis Group, 2023, 39(2024), 1
Übergeordnetes Werk:	volume:39 ; year:2024 ; number:1

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/10106049.2024.2322697

Katalog-ID:	DOAJ092278523

Internformat


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520			\|a AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions.
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allfields	10.1080/10106049.2024.2322697 doi (DE-627)DOAJ092278523 (DE-599)DOAJbc3d6cc63b2847cdabc821db391bf836 DE-627 ger DE-627 rakwb eng GB3-5030 Yinchao Xie verfasserin aut Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions. GIS landscape assessment model city mountain view visual impact assessments Physical geography Yijia Zhao verfasserin aut Wei Liu verfasserin aut Xuefeng Bai verfasserin aut Hao Xu verfasserin aut In Geocarto International Taylor & Francis Group, 2023 39(2024), 1 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:39 year:2024 number:1 https://doi.org/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/article/bc3d6cc63b2847cdabc821db391bf836 kostenfrei https://www.tandfonline.com/doi/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2024 1
spelling	10.1080/10106049.2024.2322697 doi (DE-627)DOAJ092278523 (DE-599)DOAJbc3d6cc63b2847cdabc821db391bf836 DE-627 ger DE-627 rakwb eng GB3-5030 Yinchao Xie verfasserin aut Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions. GIS landscape assessment model city mountain view visual impact assessments Physical geography Yijia Zhao verfasserin aut Wei Liu verfasserin aut Xuefeng Bai verfasserin aut Hao Xu verfasserin aut In Geocarto International Taylor & Francis Group, 2023 39(2024), 1 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:39 year:2024 number:1 https://doi.org/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/article/bc3d6cc63b2847cdabc821db391bf836 kostenfrei https://www.tandfonline.com/doi/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2024 1
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allfieldsGer	10.1080/10106049.2024.2322697 doi (DE-627)DOAJ092278523 (DE-599)DOAJbc3d6cc63b2847cdabc821db391bf836 DE-627 ger DE-627 rakwb eng GB3-5030 Yinchao Xie verfasserin aut Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions. GIS landscape assessment model city mountain view visual impact assessments Physical geography Yijia Zhao verfasserin aut Wei Liu verfasserin aut Xuefeng Bai verfasserin aut Hao Xu verfasserin aut In Geocarto International Taylor & Francis Group, 2023 39(2024), 1 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:39 year:2024 number:1 https://doi.org/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/article/bc3d6cc63b2847cdabc821db391bf836 kostenfrei https://www.tandfonline.com/doi/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2024 1
allfieldsSound	10.1080/10106049.2024.2322697 doi (DE-627)DOAJ092278523 (DE-599)DOAJbc3d6cc63b2847cdabc821db391bf836 DE-627 ger DE-627 rakwb eng GB3-5030 Yinchao Xie verfasserin aut Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions. GIS landscape assessment model city mountain view visual impact assessments Physical geography Yijia Zhao verfasserin aut Wei Liu verfasserin aut Xuefeng Bai verfasserin aut Hao Xu verfasserin aut In Geocarto International Taylor & Francis Group, 2023 39(2024), 1 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:39 year:2024 number:1 https://doi.org/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/article/bc3d6cc63b2847cdabc821db391bf836 kostenfrei https://www.tandfonline.com/doi/10.1080/10106049.2024.2322697 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 39 2024 1
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authorswithroles_txt_mv	Yinchao Xie @@aut@@ Yijia Zhao @@aut@@ Wei Liu @@aut@@ Xuefeng Bai @@aut@@ Hao Xu @@aut@@
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issn	17520762
topic_title	GB3-5030 Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China GIS landscape assessment model city mountain view visual impact assessments
topic	misc GB3-5030 misc GIS misc landscape assessment model misc city mountain view misc visual impact assessments misc Physical geography
topic_unstemmed	misc GB3-5030 misc GIS misc landscape assessment model misc city mountain view misc visual impact assessments misc Physical geography
topic_browse	misc GB3-5030 misc GIS misc landscape assessment model misc city mountain view misc visual impact assessments misc Physical geography
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title	Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China
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title_full	Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China
author_sort	Yinchao Xie
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author_browse	Yinchao Xie Yijia Zhao Wei Liu Xuefeng Bai Hao Xu
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doi_str_mv	10.1080/10106049.2024.2322697
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title_sort	exploring the impact of urban development on mountain view visualization using a gis-based landscape assessment model: a case study in lishui, china
callnumber	GB3-5030
title_auth	Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China
abstract	AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions.
abstractGer	AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions.
abstract_unstemmed	AbstractAmid China’s high-speed urbanization, the lack of urban landscape and homogenization of urban image are becoming increasingly serious, prompting discussion on how to preserve the natural urban landscape. This study extends the existing landscape assessment model to evaluate the urban hillscape of the Lishui urban area of Nanjing over the past 50 years. First, a landscape quality analysis is conducted based on raster images, and a landscape quality map of the study area is drawn. Then, a visibility analysis of the site is conducted, key observation points (KOPs) are screened using a digital surface model, and the visual magnitude of each KOP is quantitatively calculated. Finally, the visual impact scores of the mountains in the site are synthesized. The results show that the model can accurately quantify the visual impact of historical mountain views. The following conclusions are drawn (1) The visual quality of the landscape in the area has improved as the urban area has spreads out. (2) The viewshed and magnitude of the area are trending downward over time. (3) The Chengnan area’s visual impact score increased by 25.7%, but that of the Tuanshan and Chengzhong areas decreased by 48% and 26.9%, respectively. This study presents a spatial decision support system that can obtain better landscape assessment results with more accessible open-source data, and can be used for historical landscape evaluation. By comparing the characteristics and trends of urban hillscapes in different historical periods, this study’s landscape assessment model can help managers better understand the impact of development on urban intentions and make better decisions.
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title_short	Exploring the impact of urban development on mountain view visualization using a GIS-based landscape assessment model: a case study in Lishui, China
url	https://doi.org/10.1080/10106049.2024.2322697 https://doaj.org/article/bc3d6cc63b2847cdabc821db391bf836 https://www.tandfonline.com/doi/10.1080/10106049.2024.2322697 https://doaj.org/toc/1010-6049 https://doaj.org/toc/1752-0762
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