Land Use Spatial Optimization Using Accessibility Maps to Integrate Land Use and Transport in Urban Areas

Abstract The scarcity of urban land resources requires a well-organized spatial layout use to better accommodate human activities, however, as widely accepted concept, the integration and transport is not given due consideration in optimization (LUSO). This paper aims integrate LUSO support planning. Maximizing accessibility fitness, which follows underlying logic between types characteristics, introduced into multi-objective (MOLUSO) modelling address considerations, together with widely-used objectives such maximizing compactness, compatibility, suitability. this study, are identified by driving accessibility, cycling walking accessibility. Accessibility maps, quantify visualize variances fitness for different types, developed based on empirical results relationship characteristics addressing policy issues. 4-objective model corresponding non-dominated sorting genetic algorithm (NSGA-II) method constitute prototype decision system (DSS) Decision-makers (e.g., planning departments) can choose an ideal solution development needs from set Pareto-optimal alternatives generated DSS. approaches creating maps MOLUSO demonstrated case study Eindhoven, Netherlands. advocates limited changes current pattern planning, emphasizes renewal upgrading rather than new town