Bus rapid transit (BRT) system is a sustainable mode choice alternative and traffic management method for traffic congestion problems in urban areas. As an extent of total demand management, BRT has broadly been implemented in many countries. BRT has proven to be progressive in alleviating traffic congestion and the difficulty of finding parking spaces in city centers. Currently, people driving their automobiles to work cause traffic congestion along Karachi’s main corridors. People cannot be persuaded to use public transit until their travel patterns are understood. Therefore, the disparity between public and private transportation must be addressed. This research aimed to develop a model to shift car travelers toward Karachi’s Green Line BRT and investigate the factors that influence car travelers’ decisions. A questionnaire-based survey was carried out on single-occupant vehicle (SOV) users in the Green Line corridor of Karachi. This study investigated the elements that influence SOV users’ willingness to adopt the BRT system and studied the possible ways of attracting car drivers to BRT. Data were examined using descriptive-analytic techniques such as the contingency table approach in conjunction with a Chi-square test of the independence/association model in SPSS. Furthermore, binary logistic regression was applied to the highly mediated associated variables. The research’s outcomes were geared at the imposition of parking fees at workplaces to deter individuals from parking their automobiles there. SOV travelers can be diverted to BRT services using this strategy. The research findings will assist policymakers and serve as a foundation for scientific investigations on the travel demand model for the BRT system.

Rapid ribbon development in Qasimabad Taluka, Hyderabad, has resulted in fragmented neighborhoods due to unplanned urban expansion. This study evaluates the critical factors influencing social sustainability in residential communities, focusing on neighborhood connectivity, safety, and green spaces. Employing a quantitative approach, data were collected through quota sampling from 5–7% of government-approved housing schemes in Qasimabad. A Satisfaction Index was developed to assess residents’ perceptions of accessibility, safety, amenities, and community engagement and analyzed via SPSS-22. Key findings revealed severe dissatisfaction: only 19% of private vehicle users reported satisfaction, while over 60% rated pedestrian and cycling infrastructure as inadequate. Green spaces intended for communal use deteriorated, causing a 21.58% reduction in satisfaction. Despite moderate daytime safety ratings (+53.95%), the overall social sustainability index remained negative (−148.61%). This study underscores the urgency of integrated urban strategies—enhancing accessibility, revitalizing green spaces, improving safety measures, and fostering community engagement—to address fragmentation and achieve socially sustainable neighborhoods.