居民需求视角下大型购物中心绿色出行服务能力评价——以深圳市为例
Evaluation of Green Travel Service Capability of Shopping Centers from the Perspective of Residents' Demand:A Case Study of Shenzhen
黄淑茵
深圳大学建筑与城市规划学院硕士研究生
摘要: 大型购物中心是人们日常生活中的重要目的地，其布局优化成为提高绿色出行水平的重要规划手段，对绿色城市的建设具有不可替代的作用。大数据时代背景下，基于导航平台获取等时圈数据，可以获得准确、更具时效性的出行成本，同时避免复杂的人工构建路网数据集的工作量，为研究提供更加高效、真实的数据基础。因此，基于高德地图提供路径规划功能获取的大型购物中心“绿色服务圈”，关注大型购物中心的绿色出行服务范围与人口需求的匹配，从深圳市全域大型购物中心绿色出行服务水平和各个大型购物中心绿色出行服务的供需匹配两个层面评价大型购物中心绿色出行（包括步行、骑行、公共交通出行）服务能力的理论框架，探讨深圳市现有绿色路网建设能多大程度满足居民的购物出行需求，更真实地了解居民到达大型购物中心的难易程度。最后提出提升大型购物中心绿色出行效率的针对性策略。
Abstract: Shopping centers have become an important destination in people's daily life, and their layout optimization has become an important planning tool to improve the level of green travel, which plays an irreplaceable role in the construction of green cities. In the era of big data, accurate and more time-efficient travel costs can be obtained through isochrone data based on navigation platforms, avoiding the complex manual construction of road network data sets workload and providing a more efficient and realistic data base for the study. Therefore, based on the "green service circle" of shopping centers obtained by the route planning function provided by Gaode Map, this study focuses on the matching between the green travel service level of shopping centers and the population, and proposes a theoretical framework to evaluate the green travel (walking, cycling and public transportation travel) service capacity of shopping centers at macro, meso and micro levels. Through an in-depth discussion on how well the existing green road network in Shenzhen can meet the needs of residents for shopping, targeted strategies will be proposed to improve the efficiency of green travel to shopping centers.
关键词：绿色出行；大型购物中心；空间布局；服务能力；供需匹配模式
Keyword: green travel; shopping centers; spatial layout; service capacity; supply and demand matching model
中图分类号：TU984
文献标识码: A
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