Infrastructure projects are being planned and implemented around the world. These projects lead to economic growth and social development, but often unexpected side effects emerge. The problem is that financial analyses for infrastructure projects do not incorporate quantified economic assessments of social and environmental impacts. Equally, social and environmental assessments for infrastructure projects rarely qualify or quantify socioeconomic outcomes for investments in mitigation practices. Our analysis builds on a review of existing methodologies and tools to propose a method for jointly applying three modeling approaches for integrated economic and spatial planning. The results of case study of the Mekong Flooded Forest landscape shows the capability of the models to anticipate desired and undesired outcomes across social, economic and environmental indicators. This shows promising potential for better informing decision making for sustainability.