中文摘要：

利用2007年北京市活动日志调查数据,把居民最常去的购物地视为一种购物出行偏好,以居民对购物地离家的感知距离作为因变量,个人及家庭属性、居住空间属性、购物活动情况等作为自变量,建立基于不同区位的OLS回归和WLS回归模型,探讨北京市不同区位居民购物出行偏好的影响因素及空间分异。结果表明：不同区位居民购物出行的主要影响因素存在显著差异,内城以商业密度、年龄为主;近郊以购物频率为主,远郊以年龄为主。此外,受教育程度等因素对不同区位居民购物出行的影响不仅作用强度存在显著差异,作用方向也有所不同。

英文摘要：

In China,it has been conducted a lot of empirical researches on shopping behavior of residents,but until now it has rarely studied the spatial differentiation of shopping influencing factors in a single city.Based on questionnaire survey and field investigation in Beijing,this paper considers the travel distance from home to the most frequently shopping sites as dependent variable while considers a series of factors about personal social-economic attributes,family attributes,spatial attributes and shopping activities as independent variables.We formulate many OLS regression models and WLS regression models.The results indicate： firstly,certain factors affect the shopping distance of residents in various locations distinctively.Secondly,the major influencing factors are different,for example,the major factors are commercial density and age in inner city,but shopping frequency and age in suburbs.Thirdly,although the mode of transportation is significant in various locations,in the inner city and suburb the most influencing transportation is foot and public transportation,in the exurb,however,it is private car.