Evaluation and Optimization Model of Land Use Around Urban Rail Transit Stations Considering TOD Strategy
Preprint
- 26 June 2023
- preprint
- Published by MDPI AG in Preprints.org
Abstract
The integration of transportation systems with land use through the Transit-Oriented Development (TOD) model can effectively promote sustainable development in cities. By increasing the intensive use of land within the supply capacity of urban public transportation, this model can comprehensively improve the efficiency of urban transportation and land use, while also addressing problems such as traffic congestion and environmental pollution. To implement this model, a "Node-Place-Function" (NPF) framework is proposed based on the coordination degree between rail transit and land use in Qingdao. A comprehensive evaluation system is constructed to quantitatively assess the TOD level and comprehensive development level of land use around rail transit stations from three dimensions. By applying the NSGA-II genetic algorithm, a land use allocation optimization model is developed to maximize rail transit station accessibility, land economic benefits, and environmental comfort. The research results guide other cities in China to implement TOD in land use planning and promote coordinated development between urban rail transit and land use.Keywords
All Related Versions
This publication has 47 references indexed in Scilit:
- Integrating Station-Area Development with Rail Transit Networks: Lessons from Japan Railway in TokyoUrban Rail Transit, 2022
- Decision scenarios using ecosystem services for land allocation optimization across Gharehsoo watershed in northern IranEcological Indicators, 2020
- Optimizing land use patterns for the grain for Green Project based on the efficiency of ecosystem services under different objectivesEcological Indicators, 2020
- Comparison of metaheuristic cellular automata models: A case study of dynamic land use simulation in the Yangtze River DeltaComputers, Environment and Urban Systems, 2018
- A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridershipComputers, Environment and Urban Systems, 2018
- Optimal rural land use allocation in central China: Linking the effect of spatiotemporal patterns and policy interventionsApplied Geography, 2017
- The node-place analysis on the “hubtropolis” urban form: The case of Shanghai Hongqiao air-rail hubHabitat International, 2015
- Combining system dynamics and hybrid particle swarm optimization for land use allocationEcological Modelling, 2013
- Sustainable land use optimization using Boundary-based Fast Genetic AlgorithmComputers, Environment and Urban Systems, 2012
- Health damages from air pollution in ChinaGlobal Environmental Change, 2012