Efficient Methodology for Assessment of Targets and Policy Measures for Sustainable Mobility Systems

Abstract

The development of transport policy measures to reduce negative environmental impacts and social costs is crucial for decision makers and traffic researchers seeking ways to decrease transport demand (mostly passenger car) and congestion levels. This paper proposes a methodology for testing optimal public transport (PT) to passenger car (PC) usage ratios in order to reduce negative environmental impacts and external costs as a part of social costs by implementing proposed transport policy measures. The effects of different city transport policies on the total transport demand of PC and PT during morning peak period in Novi Sad, Serbia, were tested through a traffic macroscopic simulation procedure. Traffic flow distribution outputs were used to estimate external costs and pollution emissions in proposed current situation scenarios. The results of this study enable the development of sustainable transport strategies through identification of different combinations of mobility management measures that would produce desired outcomes.