Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model

Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to imp...
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Autor*in:	Adhikari, Amit Kumar [verfasserIn] Roy, Tamal Basu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Livability Latent factors Exploratory factor analysis Confirmatory factor analysis Measurement model

Anmerkung:	© The Author(s) 2021

Übergeordnetes Werk:	Enthalten in: Computational urban science - [Singapore] : Springer Singapore, 2021, 1(2021), 1 vom: 26. Okt.
Übergeordnetes Werk:	volume:1 ; year:2021 ; number:1 ; day:26 ; month:10

Links:	Volltext

DOI / URN:	10.1007/s43762-021-00023-w

Katalog-ID:	SPR045408734

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allfields	10.1007/s43762-021-00023-w doi (DE-627)SPR045408734 (SPR)s43762-021-00023-w-e DE-627 ger DE-627 rakwb eng Adhikari, Amit Kumar verfasserin aut Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213 Roy, Tamal Basu verfasserin aut Enthalten in Computational urban science [Singapore] : Springer Singapore, 2021 1(2021), 1 vom: 26. Okt. (DE-627)1755847114 (DE-600)3061590-2 2730-6852 nnns volume:1 year:2021 number:1 day:26 month:10 https://dx.doi.org/10.1007/s43762-021-00023-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2021 1 26 10
spelling	10.1007/s43762-021-00023-w doi (DE-627)SPR045408734 (SPR)s43762-021-00023-w-e DE-627 ger DE-627 rakwb eng Adhikari, Amit Kumar verfasserin aut Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213 Roy, Tamal Basu verfasserin aut Enthalten in Computational urban science [Singapore] : Springer Singapore, 2021 1(2021), 1 vom: 26. Okt. (DE-627)1755847114 (DE-600)3061590-2 2730-6852 nnns volume:1 year:2021 number:1 day:26 month:10 https://dx.doi.org/10.1007/s43762-021-00023-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2021 1 26 10
allfields_unstemmed	10.1007/s43762-021-00023-w doi (DE-627)SPR045408734 (SPR)s43762-021-00023-w-e DE-627 ger DE-627 rakwb eng Adhikari, Amit Kumar verfasserin aut Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213 Roy, Tamal Basu verfasserin aut Enthalten in Computational urban science [Singapore] : Springer Singapore, 2021 1(2021), 1 vom: 26. Okt. (DE-627)1755847114 (DE-600)3061590-2 2730-6852 nnns volume:1 year:2021 number:1 day:26 month:10 https://dx.doi.org/10.1007/s43762-021-00023-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2021 1 26 10
allfieldsGer	10.1007/s43762-021-00023-w doi (DE-627)SPR045408734 (SPR)s43762-021-00023-w-e DE-627 ger DE-627 rakwb eng Adhikari, Amit Kumar verfasserin aut Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213 Roy, Tamal Basu verfasserin aut Enthalten in Computational urban science [Singapore] : Springer Singapore, 2021 1(2021), 1 vom: 26. Okt. (DE-627)1755847114 (DE-600)3061590-2 2730-6852 nnns volume:1 year:2021 number:1 day:26 month:10 https://dx.doi.org/10.1007/s43762-021-00023-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2021 1 26 10
allfieldsSound	10.1007/s43762-021-00023-w doi (DE-627)SPR045408734 (SPR)s43762-021-00023-w-e DE-627 ger DE-627 rakwb eng Adhikari, Amit Kumar verfasserin aut Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2021 Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213 Roy, Tamal Basu verfasserin aut Enthalten in Computational urban science [Singapore] : Springer Singapore, 2021 1(2021), 1 vom: 26. Okt. (DE-627)1755847114 (DE-600)3061590-2 2730-6852 nnns volume:1 year:2021 number:1 day:26 month:10 https://dx.doi.org/10.1007/s43762-021-00023-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_187 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 1 2021 1 26 10
language	English
source	Enthalten in Computational urban science 1(2021), 1 vom: 26. Okt. volume:1 year:2021 number:1 day:26 month:10
sourceStr	Enthalten in Computational urban science 1(2021), 1 vom: 26. Okt. volume:1 year:2021 number:1 day:26 month:10
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topic_facet	Livability Latent factors Exploratory factor analysis Confirmatory factor analysis Measurement model
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authorswithroles_txt_mv	Adhikari, Amit Kumar @@aut@@ Roy, Tamal Basu @@aut@@
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author	Adhikari, Amit Kumar
spellingShingle	Adhikari, Amit Kumar misc Livability misc Latent factors misc Exploratory factor analysis misc Confirmatory factor analysis misc Measurement model Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
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topic_title	Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model Livability (dpeaa)DE-He213 Latent factors (dpeaa)DE-He213 Exploratory factor analysis (dpeaa)DE-He213 Confirmatory factor analysis (dpeaa)DE-He213 Measurement model (dpeaa)DE-He213
topic	misc Livability misc Latent factors misc Exploratory factor analysis misc Confirmatory factor analysis misc Measurement model
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title	Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
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title_full	Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
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title_sort	latent factor analysis and measurement on sustainable urban livability in siliguri municipal corporation, west bengal through efa and cfa model
title_auth	Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
abstract	Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. © The Author(s) 2021
abstractGer	Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. © The Author(s) 2021
abstract_unstemmed	Abstract United Nations’ Sustainable Development Goal targets to make cities and human settlements inclusive, safe, resilient, and sustainable; as it is predicting 95% urban expansion in the next decades. Consequently, urban livability can serve as a useful conceptual and analytical framework to improve the quality of urban life by facilitating the evaluation of the person–environment relationship and leading the improvement without deteriorating the environmental conditions. This present paper aims to identify the dimensions and indicators of subjective and objective livability for Siliguri Municipal Corporation (SMC). The residents’ perception has been carried out using stratified random sampling technique. Samples have been collected from the residents from each core, semi-periphery and peripheral areas of SMC. Mainly, adaptation of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) model involves four livability dimensions; under which the overall model explains 65% of the total variance indicating with the high reliability (α > 0.7) and the Goodness-of-fit index (GFI) about 0.90. The result indicates that, ‘Accessibility Factor’ bears the highest impact (24.91%) among the four latent variables and ‘Socio-Economic’ factor has the lower impact (8.39%) upon the urban livability. © The Author(s) 2021
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title_short	Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model
url	https://dx.doi.org/10.1007/s43762-021-00023-w
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up_date	2024-07-03T15:48:39.222Z
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Latent factor analysis and measurement on sustainable urban livability in Siliguri Municipal Corporation, West Bengal through EFA and CFA model

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