LAUSR

A multidimensional methodology, using strategic decision making architectural (SDMA) framework is employed in this research to assess the extent of transportation planning and related policy transformation, where the people largely depend on private vehicles for mobility. The assessment perspective for policy implications, identification of key drivers and constraints, the policy content taxonomy, and evaluation of strategic measures are employed in the SDMA to suggest policy classes, measures, and role of policy planners. The current transportation system can be appraised and examined by the framework and can be utilized as a direction that can lead to a more coherent application in the policy planning process of the transportation sector. The lack of public transportation availability, reliance on oil as a single fuel source, high vehicle pollution, commuting schedules, and traffic congestions, accidents due to driver behavior, and subsidies associated with transportation are the critical topics concerning transportation planning. The assent with modern standards and the possibility of expanding quantitative measures, together with the accessibility of entities suitable for transportation policy planning activities, an opportunity to tender statistical advice to users make SDMA methodology and framework a practical and assertive system in the planning of road transportation.