| 居民购物出行时空特征及影响因素研究——基于中国时间利用调查 |
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| 引用本文： | 王欢,王芳,郭梦瑶.居民购物出行时空特征及影响因素研究——基于中国时间利用调查[J].地理研究,2022,41(10):2712-2725. |
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| 作者姓名： | 王欢 王芳 郭梦瑶 |
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| 作者单位： | 内蒙古大学公共管理学院,呼和浩特 010020 |
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| 基金项目： | 国家自然科学基金项目(41801149);内蒙古大学中华民族共同体研究中心2022年开放课题(NDZH202219);内蒙古高等学校青年科技英才支持计划(NJYT-20-B09) |
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| 摘 要： | 在市场经济日趋成熟、购物需求日益多样的今天,掌握居民购物出行规律,对合理布局商业空间、科学规划交通路网和提升公民个人福利具有积极意义。本文基于全国29个省份174个地级行政区30591位受访者的主要和次要活动时间利用调查数据,通过GIS空间分析对居民购物活动参与率、购物持续时间和由购物产生的交通出行时间进行系统分析后,构建离散选择模型探讨居民购物出行活动的影响因素。研究发现：农村和西部地区居民购物参与率较低,但持续时间较长;城镇和东部沿海地区居民的购物参与率较高,但持续时间较短;农村地区及青海、内蒙古、重庆、云南等地的城镇居民交通出行时间较长。居民购物出行受到居民个体属性、居民家庭属性以及区位条件因素综合影响,且购物参与率与持续时间在某些群体呈现一定互斥。最后,从基础设施建设、购物中心规划布局等方面提出城乡空间布局与交通发展优化的对策建议。
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| 关 键 词： | 时间利用 购物出行 时空特征 影响因素 |
| 收稿时间： | 2021-12-09 |
Spatiotemporal characteristics and determinants of residents' shopping travel behaviors in China: Based on Chinese time use survey |
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| WANG Huan,WANG Fang,GUO Mengyao.Spatiotemporal characteristics and determinants of residents' shopping travel behaviors in China: Based on Chinese time use survey[J].Geographical Research,2022,41(10):2712-2725. |
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| Authors: | WANG Huan WANG Fang GUO Mengyao |
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| Institution: | School of Public Management of Inner Mongolia University, Hohhot 010020, China |
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| Abstract: | China has witnessed rapid growth of its consumption economy and shopping needs in recent years. The rules of residents' shopping travel have positive significance for arranging commercial space, planning traffic network and improving citizens' personal welfare. Thus, the residents' shopping trip have drawn increasing attention. Previous studies intensively investigated the individual and microscale shopping travel behaviors of residents. However, there is a lack of national-level research on the shopping trip patterns of residents in China. The purpose of this study is to fill this research gap. By using the nationwide time-use survey data of 49,673 respondents in nearly 300 sites in urban and rural areas in 29 provincial-level regions across the country, this paper systematically explores the characteristics and determinants of shopping travel behaviors. GIS spatial analysis is applied to investigate the characteristics of participation rate, shopping duration, and traffic travel time for shopping. A discrete choice model is used to explore the influencing factors of Chinese residents' characteristics of shopping travel behaviors. The study found that the shopping participation rates of the rural areas are lower than that of the cities, and the rate of the western region is lower compared with the eastern coastal areas, but the shopping duration is reversed. Residents in Qinghai, Inner Mongolia, Chongqing, and Yunnan have the longest travel time for shopping. Residents' shopping travel behaviors are affected by residents' individual attributes, the family attributes and location conditions of residents' family. Finally, from the perspective of infrastructure construction and shopping center planning, this paper puts forward countermeasures and suggestions for the optimization of urban and rural spatial layout and traffic development. |
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| Keywords: | time use shopping travel temporal and spatial characteristics influencing factors |
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