Karachi, a megapolis city in specific, has seen a significant increase in urban growth and motorization over the last fifty years. The lack of effective public transportation is a consequence of incredibly reduced operational costs that are reasonable to many of Karachi's habitats, resulting in excessive car use.The study aims to figure out what psychological factors influence motorists'
decisions to use sustainable alternative modes of choice. People's movements are strongly linked to their social demographic characteristics, such as age, gender, marital status, profession, education levels, and family activities. For research, data has been collected through a self-administered questionnaire. Partial Least Square Structural Equation Modelling (PLS-SEM) was used. Private Car users of Karachi's CBD were Focused. The descriptive analysis was adopted through SPSS. The "SEM" model was applied through the "PLS" Path Least Square Model. Resultantly, Intention is the crucial factor for the completion of the research.

The most convenient and important part of the public transportation system is that provided by public buses, the most practical and cost-effective type of public transportation system. An expert system alone cannot accurately locate a bus stop. The "Natural Movement" theory of Space Syntax provides a deep understanding of "centrality" and urban activity, predicting the city's most dynamic streets and areas that serve as centres of urban activity. This study analyzed the city of Mansehra, Pakistan to provide a scientific evidence-based approach to planning of efficient transportation system. To find the best routes and bus stops, we computed centrality through spatial analysis and urban activity index, and vehicular and pedestrian traffic volume indices. The results of this research highlighted areas that are considered optimal traffic routes, busy city streets, and city centres, and represent the best locations for bus stop spacing in the city.