In this paper, I develop an optimization model for integrated urban planning for land use at the municipality level, in which decisions arise from an area-based weighted-GDP maximisation algorithm whose weights represent the sustainability and implementability of the land uses. The model favours the involvement of stakeholders in urban governance, but does not use complicated assessment procedures for non-economic indicators or relative weights to combine economic, social and environmental indicators; instead, the integration between economic activities and environmental status is represented objectively and non-linearly by referring to initial and sustainability conditions. The model accounts for both human and environmental dynamics by adopting a spatial structure that permits compromises between economic information (available at a macro level) and ecological information (available at a micro level). A single value is attached to each urban governance, with an elicitation of future decisions (including acceptance of the status quo) and the ability to provide an evaluation of past decisions: some environmental policies are considered. The model's predictions are based on reasonably reliable knowledge that can be easily collected, with reliability determined by calculating the confidence level. The resulting urban governance can then be presented and further analysed within a geographical information system. A case study of the model's application to Algeria's Reghaïa and Heraoua municipalities provides insights into optimal urban governance, with and without water quantity or quality policies, in terms of resource sustainability, sectoral development, and pollution sustainability. I also assess the previous master plan in terms of the land uses suggested by the model.