成都等超(特)大城市的城市轨道交通站点聚人效益

Population Aggregation Effect of Urban Rail Transit Stations in Chengdu and Other Megacities Behemoths

  • 摘要:
    目的 超(特)大城市普遍面临着控制人口总量、引导人口合理分布的转型发展要求,城市轨道交通站点通常是聚集高密人口的区域,有必要评估其聚人效益。
    方法 定义了城市轨道交通站点聚人效益及其测度方法。以成都为主要对象,北京、上海、广州、深圳为对标对象开展研究,并针对成都轨道交通构建了节点-功能-品质模型探究了聚人效益的背后原因。
    结果及结论 城市轨道交通站点聚人效益的优势半径普遍在800 m范围内。0~15 km圈层内成都轨道交通站点聚人效益不及北京、上海、广州、深圳,15~30 km圈层内成都轨道交通站点聚人效益位居首位。针对聚人效益提升,成都核心城区三环线内节点失衡站点应改善接驳条件;核心城区三环线外区域功能失衡站点和节点失衡站点应分别改善复合利用度及线网重要性;中心城区功能失衡站点和品质失衡站点应分别优化功能布局,以及开发强度、公共服务品质及空间环境。

     

    Abstract:
    Objective Megacities behemoths generally face transformation and development requirements such as controlling the total population and guiding a rational distribution of population. Urban rail transit stations are typically located in areas with high population density, and it is therefore necessary to evaluate their PAE (population aggregation effect).
    Method The concept of the PAE of urban rail transit stations and its measurement methods are defined. Taking Chengdu as the main research object, Beijing, Shanghai, Guangzhou, and Shenzhen as the benchmarking cities, a node-function-quality model is constructed for Chengdu rail transit system to explore the underlying causes of the population aggregation effect.
    Result & Conclusion  The advantageous radius of urban rail transit station PAE is generally within 800 m. Within the 0-15 km urban circle, the PAE effect of Chengdu rail transit stations is lower than that of Beijing, Shanghai, Guangzhou, and Shenzhen; within the 15-30 km urban circle, Chengdu ranks first in population aggregation effect among the compared cities. To enhance the PAE, for node-imbalanced stations within the Third Ring Road of Chengdu's core urban area, station transfer conditions should be improved; for function and node-imbalanced stations outside the Third Ring Road in Chengdu, the degree of mixed land use and the importance of the network should be improved respectively; for function and quality-imbalanced stations in the central urban area, functional layout, development intensity, quality of public services, and spatial environment should be optimized respectively.

     

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