地理科学进展 ›› 2009, Vol. 28 ›› Issue (3): 362-369.doi: 10.11820/dlkxjz.2009.03.006

• 人口与城市发展 • 上一篇    下一篇

居住空间对家庭购物出行决策的影响

张文佳|柴彦威   

  1. 北京大学城市与经济地理系|北京 100871
  • 出版日期:2009-05-25 发布日期:2009-05-25
  • 作者简介:张文佳(1985-)|男|硕士生|主要研究方向为行为地理和城市活动-移动系统研究。 E-mail:zhangwenjia@pku.edu.cn
  • 基金资助:

    国家自然科学基金项目(40671058,40601030);北京大学林肯研究中心论文奖学金(2008-2009年度)

The Influence of Residential Space on Household Shopping Tour Decision-Making Behaviors

ZHANG Wenjia, CHAI Yanwei   

  1. Department of Urban and Economic Geography, Peking University, Beijing 100871, China
  • Online:2009-05-25 Published:2009-05-25

摘要:

利用2007年北京市民活动日志调查的第一手数据,建立了强调家庭和决策过程的嵌套Logit模型,探讨居住空间对购物出行行为的影响,并在居住空间尺度上模拟评估土地利用政策对居民购物出行优化的作用。结果表明,居住区位的差异往往导致居民通过调整其生活方式(如购物出行模式)来适应,而非直接显著影响其购物出行需求(反映在家庭购物出行频率)。居住地商业密度对购物出行频率和出行模式决策的影响均存在明显的空间分异,且需求弹性均随着商业密度的变化而变化。这说明需要针对不同区位、不同居住空间、不同出行需求弹性情况来实施不同的土地利用政策和规划,以便优化购物出行需求。同时,城市居民购物出行模式的调整优化既需要居住空间的土地利用调整也需要交通设施和交通状况本身的改善。

关键词: 购物行为决策;活动分析法;居住空间;出行模式;嵌套Logit模型;北京市

Abstract:

The relationship between urban form and non-work activity-travel has received considerable attention in the recent debates over the area of transportation, urban studies and geography. In this paper, we formulate and estimate a nested model structure that includes the choice of shopping frequency of each household in the upper level, the allocation of household member to shopping task in the middle nest, and the choice of shopping tour pattern of residents in the lower nest. Data for the analysis are drawn from a 2007 Beijing activity dairy survey, including 516 households and 1110 residents in 10 communities distributed from urban core to suburb. The estimated results, with the methods of full information maximum likelihood (FIML), indicate that the difference of residential location does not significantly influent the household shopping travel demand such as tour frequency, however, obviously lead to diverse individual's everyday lifestyle such as shopping tour pattern to offset the impact of location. And the variable of residential duration, supposed as measurement of the cognition about residential space, merely significantly affects all levels of the shopping decision-making behaviors. Moreover, from the result of the simulation with changing the residential shopping density from 0.1M to 2.5M (M is current shopping density), we can draw a conclusion that the elasticity of shopping tour demand is not invariable for the reason that in some range (0.7M to 1.4M) the demand is elastic and in other case (<0.7M) is inelastic when the density is changing. And the elasticity varies between the location of intra-four-circle and outer-four-circle. It means that different land-use policies should be carried out in different region inside city, according to residential elasticity of shopping tour demand and the current situation of residential land-use, to optimize the shopping tour frequency. Meanwhile, the result tells us that the probability of choosing only-shop-to-home (OSH) pattern of suburb residents is the most largest, not only for the reason that the lower commercial density in suburb, but also the worse accessibility between suburb residential districts and CBD in urban core, such as lacking of transfer convenience and unpredicted traffic jam in Beijing city, all of which prevent the individual taking risks to carry out other activity in the long-distance activity pattern.

Key words: Beijing city, nested logit model (NL), shopping decision-making behavior;activity-based approach;residential space, tour pattern