Urban metro systems play a pivotal role in mitigating traffic congestion, reducing environmental impact and promoting sustainable mobility in rapidly expanding cities such as Bengaluru. Understanding how diverse demographic groups interact with metro services is crucial for enhancing service quality, improving commuter satisfaction and enabling data-driven transport planning. This study aims to examine and model the influence of demographic characteristics on metro commuting patterns in Bengaluru, with a specific focus on identifying key determinants of usage behavior. The study adopts a quantitative research design based on primary data collected from commuters across major stations of the Bengaluru Metro network. A structured questionnaire was used to capture demographic variables—including age, gender, income, education, occupation and residential location—as well as commuting patterns such as travel frequency, purpose, time of travel and ticketing preferences. A combination of convenience and stratified sampling techniques ensured adequate representation of varied commuter segments. To analyze the relationship between demographic factors and metro usage patterns, statistical tools such as descriptive analysis, chi-square tests, ANOVA and multiple regression were employed using SPSS. The findings indicate that demographic variables significantly shape commuting behavior. In particular, age, occupation and income emerge as strong predictors of metro usage intensity, while gender and education influence travel preferences and time-of-day usage. The results further reveal that working professionals and students constitute the primary user base, each exhibiting distinct travel needs and expectations. The study underscores the importance of demographic segmentation in urban transit planning. It suggests that tailored strategies—such as flexible scheduling, targeted pricing policies, improved last-mile connectivity and advanced digital ticketing systems can substantially enhance commuter experience and increase ridership. Moreover, the findings highlight the need for inclusive, user-centric metro services that accommodate the diverse requirements of urban populations. By establishing an empirical link between demographic characteristics and metro commuting behavior, this research contributes to the broader literature on urban transportation in emerging economies. The insights derived offer valuable implications for policymakers, urban planners and metro authorities in designing efficient, sustainable and commuter-focused transit systems in Bengaluru.