Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China

With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reli...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dong, Yun-Hao [verfasserIn] Peng, Fang-Le [verfasserIn] Bao, Zong-Hui [verfasserIn] Qiao, Yong-Kang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City

Übergeordnetes Werk:	Enthalten in: Sustainable cities and society - Amsterdam [u.a.] : Elsevier, 2011, 72
Übergeordnetes Werk:	volume:72

DOI / URN:	10.1016/j.scs.2021.103084

Katalog-ID:	ELV006277985

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matchkey_str	dongyunhaopengfanglebaozonghuiqiaoyongka:2021----:dniiainfhsailitiuinatradrvnfreoudrrudaknsaeaeomlior
hierarchy_sort_str	2021
publishDate	2021
allfields	10.1016/j.scs.2021.103084 doi (DE-627)ELV006277985 (ELSEVIER)S2210-6707(21)00368-1 DE-627 ger DE-627 rda eng 690 720 DE-600 Dong, Yun-Hao verfasserin aut Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning. Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City Peng, Fang-Le verfasserin aut Bao, Zong-Hui verfasserin aut Qiao, Yong-Kang verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 72 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:72 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 72
spelling	10.1016/j.scs.2021.103084 doi (DE-627)ELV006277985 (ELSEVIER)S2210-6707(21)00368-1 DE-627 ger DE-627 rda eng 690 720 DE-600 Dong, Yun-Hao verfasserin aut Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning. Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City Peng, Fang-Le verfasserin aut Bao, Zong-Hui verfasserin aut Qiao, Yong-Kang verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 72 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:72 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 72
allfields_unstemmed	10.1016/j.scs.2021.103084 doi (DE-627)ELV006277985 (ELSEVIER)S2210-6707(21)00368-1 DE-627 ger DE-627 rda eng 690 720 DE-600 Dong, Yun-Hao verfasserin aut Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning. Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City Peng, Fang-Le verfasserin aut Bao, Zong-Hui verfasserin aut Qiao, Yong-Kang verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 72 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:72 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 72
allfieldsGer	10.1016/j.scs.2021.103084 doi (DE-627)ELV006277985 (ELSEVIER)S2210-6707(21)00368-1 DE-627 ger DE-627 rda eng 690 720 DE-600 Dong, Yun-Hao verfasserin aut Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning. Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City Peng, Fang-Le verfasserin aut Bao, Zong-Hui verfasserin aut Qiao, Yong-Kang verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 72 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:72 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 72
allfieldsSound	10.1016/j.scs.2021.103084 doi (DE-627)ELV006277985 (ELSEVIER)S2210-6707(21)00368-1 DE-627 ger DE-627 rda eng 690 720 DE-600 Dong, Yun-Hao verfasserin aut Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning. Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City Peng, Fang-Le verfasserin aut Bao, Zong-Hui verfasserin aut Qiao, Yong-Kang verfasserin aut Enthalten in Sustainable cities and society Amsterdam [u.a.] : Elsevier, 2011 72 Online-Ressource (DE-627)635602792 (DE-600)2573417-9 (DE-576)336956703 nnns volume:72 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 72
language	English
source	Enthalten in Sustainable cities and society 72 volume:72
sourceStr	Enthalten in Sustainable cities and society 72 volume:72
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City
dewey-raw	690
isfreeaccess_bool	false
container_title	Sustainable cities and society
authorswithroles_txt_mv	Dong, Yun-Hao @@aut@@ Peng, Fang-Le @@aut@@ Bao, Zong-Hui @@aut@@ Qiao, Yong-Kang @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	635602792
dewey-sort	3690
id	ELV006277985
language_de	englisch
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author	Dong, Yun-Hao
spellingShingle	Dong, Yun-Hao ddc 690 misc Spatial distribution pattern misc Driving force misc Underground parking space misc Geographical detector misc Kernel density estimation misc Fuzhou City Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China
authorStr	Dong, Yun-Hao
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topic_title	690 720 DE-600 Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China Spatial distribution pattern Driving force Underground parking space Geographical detector Kernel density estimation Fuzhou City
topic	ddc 690 misc Spatial distribution pattern misc Driving force misc Underground parking space misc Geographical detector misc Kernel density estimation misc Fuzhou City
topic_unstemmed	ddc 690 misc Spatial distribution pattern misc Driving force misc Underground parking space misc Geographical detector misc Kernel density estimation misc Fuzhou City
topic_browse	ddc 690 misc Spatial distribution pattern misc Driving force misc Underground parking space misc Geographical detector misc Kernel density estimation misc Fuzhou City
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title	Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China
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title_full	Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China
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title_sort	identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: a case study of fuzhou city in china
title_auth	Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China
abstract	With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning.
abstractGer	With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning.
abstract_unstemmed	With an ever-growing vehicle population worldwide, the active use of underground parking space (UPS) is gaining popularity in densely populated megacities. UPS development orienting urban sustainability and resilience has facilitated the compact land use, flexible functional transformation, and reliable disaster prevention. However, the development mechanism of UPS remains unclear, resulting in out-of-order and random utilization of UPS. With the aid of emerging multi-source data, this study analyzed the spatial distribution pattern and driving forces of UPS in Fuzhou. The kernel density estimation results indicate that the spatial distribution of UPS in Fuzhou is highly clustered with a multicentric diffusion trend and is consistent with land use. Also, both underground parking lot (UPL) density and underground parking ratio (UPR) show apparent spatial autocorrelation. Moreover, a geographical detector-based method for the identification of driving forces of UPS development was presented. The results reveal that land use, traffic condition, and subspace development are significant driving forces. The coupling effect among factors is remarkable as well. The findings of this work provide a sound understanding of the UPS development mechanism, which is supposed to be conducive to the decision-making of UPS special planning and subspace planning.
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title_short	Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China
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author2	Peng, Fang-Le Bao, Zong-Hui Qiao, Yong-Kang
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up_date	2024-07-06T20:50:01.752Z
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Identification of the spatial distribution pattern and driving forces of underground parking space based on multi-source data: A case study of Fuzhou City in China

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