Impact of ownership and architectural design on property disputes in multi-owned buildings

With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shin, Jihye [verfasserIn] Rajabifard, Abbas [verfasserIn] Kalantari, Mohsen [verfasserIn] Atazadeh, Behnam [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Dispute Strata title Condominium Property ownership Architectural design Machine learning technique

Übergeordnetes Werk:	Enthalten in: Habitat international - Amsterdam [u.a.] : Elsevier Science, 1976, 112
Übergeordnetes Werk:	volume:112

DOI / URN:	10.1016/j.habitatint.2021.102371

Katalog-ID:	ELV006179541

Internformat


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Indexfelder

author_variant	j s js a r ar m k mk b a ba
matchkey_str	shinjihyerajabifardabbaskalantarimohsena:2021----:matfwesiadrhtcuadsgopoetdsue
hierarchy_sort_str	2021
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publishDate	2021
allfields	10.1016/j.habitatint.2021.102371 doi (DE-627)ELV006179541 (ELSEVIER)S0197-3975(21)00060-6 DE-627 ger DE-627 rda eng 330 360 690 DE-600 71.83 bkl 74.12 bkl Shin, Jihye verfasserin aut Impact of ownership and architectural design on property disputes in multi-owned buildings 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence. Dispute Strata title Condominium Property ownership Architectural design Machine learning technique Rajabifard, Abbas verfasserin aut Kalantari, Mohsen verfasserin aut Atazadeh, Behnam verfasserin aut Enthalten in Habitat international Amsterdam [u.a.] : Elsevier Science, 1976 112 Online-Ressource (DE-627)320413179 (DE-600)2001576-8 (DE-576)259271128 nnns volume:112 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO 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_101 GBV_ILN_105 GBV_ILN_110 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_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_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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 71.83 Wohnungspolitik Soziologie 74.12 Stadtgeographie Siedlungsgeographie AR 112
spelling	10.1016/j.habitatint.2021.102371 doi (DE-627)ELV006179541 (ELSEVIER)S0197-3975(21)00060-6 DE-627 ger DE-627 rda eng 330 360 690 DE-600 71.83 bkl 74.12 bkl Shin, Jihye verfasserin aut Impact of ownership and architectural design on property disputes in multi-owned buildings 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence. Dispute Strata title Condominium Property ownership Architectural design Machine learning technique Rajabifard, Abbas verfasserin aut Kalantari, Mohsen verfasserin aut Atazadeh, Behnam verfasserin aut Enthalten in Habitat international Amsterdam [u.a.] : Elsevier Science, 1976 112 Online-Ressource (DE-627)320413179 (DE-600)2001576-8 (DE-576)259271128 nnns volume:112 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO 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_101 GBV_ILN_105 GBV_ILN_110 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_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_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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 71.83 Wohnungspolitik Soziologie 74.12 Stadtgeographie Siedlungsgeographie AR 112
allfields_unstemmed	10.1016/j.habitatint.2021.102371 doi (DE-627)ELV006179541 (ELSEVIER)S0197-3975(21)00060-6 DE-627 ger DE-627 rda eng 330 360 690 DE-600 71.83 bkl 74.12 bkl Shin, Jihye verfasserin aut Impact of ownership and architectural design on property disputes in multi-owned buildings 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence. Dispute Strata title Condominium Property ownership Architectural design Machine learning technique Rajabifard, Abbas verfasserin aut Kalantari, Mohsen verfasserin aut Atazadeh, Behnam verfasserin aut Enthalten in Habitat international Amsterdam [u.a.] : Elsevier Science, 1976 112 Online-Ressource (DE-627)320413179 (DE-600)2001576-8 (DE-576)259271128 nnns volume:112 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO 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_101 GBV_ILN_105 GBV_ILN_110 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_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_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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 71.83 Wohnungspolitik Soziologie 74.12 Stadtgeographie Siedlungsgeographie AR 112
allfieldsGer	10.1016/j.habitatint.2021.102371 doi (DE-627)ELV006179541 (ELSEVIER)S0197-3975(21)00060-6 DE-627 ger DE-627 rda eng 330 360 690 DE-600 71.83 bkl 74.12 bkl Shin, Jihye verfasserin aut Impact of ownership and architectural design on property disputes in multi-owned buildings 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence. Dispute Strata title Condominium Property ownership Architectural design Machine learning technique Rajabifard, Abbas verfasserin aut Kalantari, Mohsen verfasserin aut Atazadeh, Behnam verfasserin aut Enthalten in Habitat international Amsterdam [u.a.] : Elsevier Science, 1976 112 Online-Ressource (DE-627)320413179 (DE-600)2001576-8 (DE-576)259271128 nnns volume:112 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO 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_101 GBV_ILN_105 GBV_ILN_110 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_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_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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 71.83 Wohnungspolitik Soziologie 74.12 Stadtgeographie Siedlungsgeographie AR 112
allfieldsSound	10.1016/j.habitatint.2021.102371 doi (DE-627)ELV006179541 (ELSEVIER)S0197-3975(21)00060-6 DE-627 ger DE-627 rda eng 330 360 690 DE-600 71.83 bkl 74.12 bkl Shin, Jihye verfasserin aut Impact of ownership and architectural design on property disputes in multi-owned buildings 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence. Dispute Strata title Condominium Property ownership Architectural design Machine learning technique Rajabifard, Abbas verfasserin aut Kalantari, Mohsen verfasserin aut Atazadeh, Behnam verfasserin aut Enthalten in Habitat international Amsterdam [u.a.] : Elsevier Science, 1976 112 Online-Ressource (DE-627)320413179 (DE-600)2001576-8 (DE-576)259271128 nnns volume:112 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO 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_101 GBV_ILN_105 GBV_ILN_110 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_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_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_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 71.83 Wohnungspolitik Soziologie 74.12 Stadtgeographie Siedlungsgeographie AR 112
language	English
source	Enthalten in Habitat international 112 volume:112
sourceStr	Enthalten in Habitat international 112 volume:112
format_phy_str_mv	Article
bklname	Wohnungspolitik Stadtgeographie Siedlungsgeographie
institution	findex.gbv.de
topic_facet	Dispute Strata title Condominium Property ownership Architectural design Machine learning technique
dewey-raw	330
isfreeaccess_bool	false
container_title	Habitat international
authorswithroles_txt_mv	Shin, Jihye @@aut@@ Rajabifard, Abbas @@aut@@ Kalantari, Mohsen @@aut@@ Atazadeh, Behnam @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	320413179
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language_de	englisch
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author	Shin, Jihye
spellingShingle	Shin, Jihye ddc 330 bkl 71.83 bkl 74.12 misc Dispute misc Strata title misc Condominium misc Property ownership misc Architectural design misc Machine learning technique Impact of ownership and architectural design on property disputes in multi-owned buildings
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topic_title	330 360 690 DE-600 71.83 bkl 74.12 bkl Impact of ownership and architectural design on property disputes in multi-owned buildings Dispute Strata title Condominium Property ownership Architectural design Machine learning technique
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title	Impact of ownership and architectural design on property disputes in multi-owned buildings
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title_full	Impact of ownership and architectural design on property disputes in multi-owned buildings
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title_sort	impact of ownership and architectural design on property disputes in multi-owned buildings
title_auth	Impact of ownership and architectural design on property disputes in multi-owned buildings
abstract	With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence.
abstractGer	With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence.
abstract_unstemmed	With the trend towards increased property disputes in multi-owned buildings (MOBs), a greater focus is needed on dispute management to prevent huge litigation costs, high-stress levels, and disharmony in urban communities. Existing studies have recognized that pinpointing sources of disputes allows proactively minimizing dispute occurrence and influence. Ownership structure and architectural design of MOBs are viewed as the critical sources, but the effects of their detailed aspects on disputes remain unclear. This study aims to identify ownership and architectural factors of MOBs impacting on the incidence and intensity of disputes within communities in the property. It first defines crucial MOB factors causing disputes and a measurement model of the dispute intensity in the context of Victoria, Australia. It then investigates relationships between the factors and the intensity by employing Boosted Classification Tree, a machine learning technique, for 101 tribunal cases. This research confirms six factors highly associated with the dispute intensity: design of common areas, ownership space boundaries, ownership space arrangement, allocation of co-ownership share, design of individual units, and accessory spaces for each unit. The results shed light on MOB factors to be controlled at planning stages for mitigating disputes and their influence.
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title_short	Impact of ownership and architectural design on property disputes in multi-owned buildings
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up_date	2024-07-06T20:29:42.798Z
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Impact of ownership and architectural design on property disputes in multi-owned buildings

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Zugang & Verfügbarkeit

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