The Overall Diversity in Commuters’ FLMC Perception Around Esplanade Metro Station Using Factor Analysis

First and last-mile connectivity (FLMC) links the primary public transportation networks and the start and end of an individual’s trip. Sustainable Development Goals have emphasized inclusivity through SDGs 3, 5, 9, 10, 11, and 13. Several researches focus on the need for FLMC in different scenarios. This paper aims to identify the variations of responses across parameters for appraising FLMC with respect to gender and age, classify the associated indicators, and finally optimize the indicators in a defined parameter for the study area. Parameters and associated indicators are determined by conducting a systematic literature review and authenticated by the commuters through a primary survey. The interpretation of the data received is analyzed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to demonstrate the final weight of the parameters. Thus, an optimized inclusive outline for identifying and analyzing the parameters for a specific area in a developing context with similar socio-economic status is generated.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-11
DOI
https://doi.org/10.52783/jisem.v10i35s.6175
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00
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article

The Overall Diversity in Commuters’ FLMC Perception Around Esplanade Metro Station Using Factor Analysis

Abhinanda Chatterjee
Journal of Information Systems Engineering & Management
Urban Transport and Accessibility
article

The Overall Diversity in Commuters’ FLMC Perception Around Esplanade Metro Station Using Factor Analysis

Abhinanda Chatterjee
article en

Abstract

First and last-mile connectivity (FLMC) links the primary public transportation networks and the start and end of an individual’s trip. Sustainable Development Goals have emphasized inclusivity through SDGs 3, 5, 9, 10, 11, and 13. Several researches focus on the need for FLMC in different scenarios. This paper aims to identify the variations of responses across parameters for appraising FLMC with respect to gender and age, classify the associated indicators, and finally optimize the indicators in a defined parameter for the study area. Parameters and associated indicators are determined by conducting a systematic literature review and authenticated by the commuters through a primary survey. The interpretation of the data received is analyzed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to demonstrate the final weight of the parameters. Thus, an optimized inclusive outline for identifying and analyzing the parameters for a specific area in a developing context with similar socio-economic status is generated.

Journal of Information Systems Engineering & ManagementVol. 10(35s)
Openalex Percentile: Top 91%
Urban Transport and Accessibility
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