中文摘要：

基于家庭的购物行为决策的概念模型,利用2007年北京市活动日志调查的第一手数据,建立购物出发时间决策和购物目的地决策的条件Logit模型,并探讨其在相关政策评估和预测上的应用。结果发现：家庭内部相互作用和决策层面要素对购物时、空间决策的影响比较显著;早晚高峰出行的人群具有不同的社会经济属性和购物行为属性;居民休息日的购物活动集中在离家6km以内或者高密度的商业中心;影响购物目的地选择的因素更多是购物地距离,而非商业密度。通过模拟发现,土地混合利用的政策可能会增加高峰期的交通拥挤程度,而商业设施分散布局可能更有利于城市交通状况的改善和居民日常生活质量的提升。

英文摘要：

The researches of shopping behavior in urban geography and planning mainly focus on how to manage urban residential non-work travel,how to regulate and optimize commercial spatial structure,and how to improve residential everyday life quality.In this paper,we put forward the conceptual model of the shopping decision-making behavior on the perspective of intra-household interaction.Hereby,using the first-hand data from a activity-travel daily survey of Beijing in 2007,we derive and formulate a multinomial logit model（MNL）for shopping timing decision-making,and a conditional logit model（CLM）for shopping destination choice,to interpret the behavioral diversity among different groups and evaluate the spatial policies.The results indicate that：First,the influences of the factors about intra-household interaction and different decision-making levels on the shopping space-time decision-making process are more significant than that of traditional socio-demographic characters.Therefore,the characters of household-based decision should be paid more attention by the studies of activity-travel behavior.Then,the groups travelling in the morning peak period seem to be low-income or exurb-living,with non-motor mode or longer shopping duration.Also,the dwellers travelling in the evening peak period seem to be with family companions,suburb-living or choosing the tour mode of HWSH.Moreover,it does mean to attract more shopping activities with higher commercial density.At the weekend,residential shopping activities are mostly concentrated within 6 km far from the home,or appear at the high-density CBD.Furthermore,the impacts of personal characters on the destination choice give more attention to the home-to-shop distance,rather than the density of the shopping district.Finally,the results from estimation and simulation evaluation show that the policy of mixed land-use might indeed reduce the travel time,but increase the probability of multi-purpose shopping tour,which will more probably choose the peak-time travelling,the