The aim of this paper is to apply a multi-criteria decision analysis (MCDA) for evaluating the sustainability of an infrastructure project on system interchange where an original simplified approach is defined and used to compare alternative scenarios by applying the effect of changes intensity in sustainability evaluation. This method is named applied effect of changes intensity in each indicator (AECIEI). Indicators in the sustainable development definition were divided into environmental, social, and economic factors that are relevant to both the operational and construction steps. To calculate the weight of indicators, interviews with experts are carried out. In the following, a brief theoretical background is introduced in order to highlight the contribution of the present research to the global knowledge. Section 3 presents the methodology and data used in the present work. This study involves four steps, including building scenarios by interviewing with experts, choosing eminent sustainable indicators and interviewing with experts for calculating a weight of indicators, accessing scenarios by evaluating sustainable development indicators, ranking scenarios, and choosing the great scenario. Finally, all of them are carried out in Section 4 and Section 5. The summary of the results is presented in Section 6 where AECIEI is compared with TOPSIS, and a discussion about the generalization of the methodology to other contexts is made. Go to: 2. Theoretical Background Traditional transportation performance metrics tend to focus on vehicle mobility and congestion, neglecting the impact of transport on environmental, social, and economic sustainability. Measuring and assessing different parameters of the sustainability of transportation performance and infrastructures is difficult. Combing different parameters into a single index is normally applied to compare and assess different paradigms. If developed properly, an indicator framework is an essential part of an effective transport planning process for internal management and decision support and for external communication [8].