Integrated Land-Use Allocation and Transit Network Design Problem -Case Study: Tehran’s 22nd Region

Due to interactions between land-use and transportation and potential synergies of integrated urban land-use and transit planning, in this paper an integrated land-use allocation and transit network design problem is modelled as a multi-objective optimization problem. The objectives of the model include maximizing population and activity coverage of the transit corridor, optimizing land-use diversity and minimizing total costs of transit corridor implementation. Decision variables include land-use and density allocated to each block and the location of the stations and links of the transit corridor. Furthermore, several constraints for environmental issues and maximum allowable population and activity for each neighbourhood have also been incorporated into the model. The resultant multi-objective mixed integer non-linear model is transformed into a single objective mixed integer linear programming model using goal attainment approach and a number of linearization techniques. The resultant approach is applied to a real case study in Tehran’s 22nd region and the results are analysed. The results show that the proposed model on average improves population coverage by 12.2 percent, activity coverage by 20.6 percent and land-use diversity by 10.2 percent while mainaing its cost competitiveness (with an average 2.5 percent increase in total costs).