4.7 Article

Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 170, Issue -, Pages 1052-1063

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.09.182

Keywords

Transit-oriented development; Land use; Sustainable development; Genetic algorithm

Funding

  1. National Natural Science Foundation of China [71503018, 51408019, U1564212]
  2. National Science and Technology Support Program of China [2014BAG01B02]
  3. Beijing Nova Program [z151100000315048]
  4. Beijing Natural Science Foundation [9172011]
  5. Young Elite Scientist Sponsorship Program by the China Association for Science and Technology [2016QNRC001]

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Urban rail transit system in China has been rapidly constructed in response to the effects of urbanization, such as severe urban congestion and excessive air pollution. The sustainable land use planning (i.e. transit-oriented development, TOD) around the subway stations is important for the rail transit system because of its long-term influence on travel demand. However, there are limited studies that focus on the station level TOD planning. In this context, the aim of this study is to propose a multi-objective programming model that integrates transport and land use design for station-level TOD planning. In this study, one subway station in Beijing City is taken as the case, considering the unique features of urban development (e.g. high density and diversity), five objectives are taken to account in our model, including rail transit ridership, compactness, accessibility, conflict degree, and environmental effects. Meanwhile, an improved immune-genetic based algorithm is designed to obtain the optimal solutions under alternative land use schemes. The model results show that the proposed algorithm is superior to conventional genetic algorithms. This study is hoped to provide sustainable station-level planning for urban planning decision-makers. (C) 2017 Elsevier Ltd. All rights reserved.

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