疫情期潍坊市居民在线购物行为特征研究：与疫情前的对比

doi:10.13959/j.issn.1003-2398.2022.05.007

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Abstract With the rapid development of smart city technology and its full penetration into social life, the traditional human-land relationship has been significantly changed. Owing to the outbreak of COVID-19 and the consequent implementation of lockdown policy, residents' online shopping behaviors have become increasing uncertain, and its characteristics and influencing factors require further study. Based on questionnaire survey data of Weifang city, this study investigated the characteristics of residents' online shopping behaviors during the epidemic period and their differences from usual. Structural equation modeling was further used to explore the influencing factors of residents' online shopping behaviors during the epidemic period. The results showed that residents' online shopping frequency, expense, and duration were higher than the peacetime. Moreover, during the epidemic period, residents' online shopping frequency, expense, and duration all decreased from the central city to the suburbs, which was in line with the technology diffusion hypothesis. Online shopping attitudes during the epidemic period had a significantly positive impact on residents' online shopping behaviors; In-store shopping behaviors during the epidemic period promoted online shopping behaviors; Residents with high income, high education level, longer online shopping years and better living location were more inclined to online shopping.

Key words： online shopping behaviors influencing factors epidemic period Weifang

Received: 30 August 2021

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K901.2

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	Articles by authors
	WEI Zong-cai
	LIU Yu-fei
	PENG Dan-li

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WEI Zong-cai,LIU Yu-fei,PENG Dan-li. CHARACTERISTICS OF RESIDENTS’ONLINE SHOPPING BEHAVIORS IN WEIFANG: COMPARISONS BETWEEN COVID-19 PERIOD AND NORMAL[J]. HUMAN GEOGRAPHY, 2022, 37(5): 53-62.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2022.05.007 OR http://rwdl.xisu.edu.cn/EN/Y2022/V37/I5/53

[1]	Wei Z C, Zhen F, Mo H T, et al. Travel behaviours of sharing bicycles in the central urban area based on geographically weighted regression: The case of Guangzhou, China[J]. Chinese Geographical Science, 2021,31(1):54-69.
[2]	冯健,沈昕.信息通讯技术(ICT)与城市地理研究综述[J].人文地理, 2021,36(5):34-43,91. [Feng Jian, Shen Xin. A review of researches on urban geography under the background of information and communication technology[J]. Human Geography, 2021, 36(5): 34-43, 91.]
[3]	Cao X J, Chen Q, Choo S. Geographic distribution of e-shopping: Application of structural equation models in the Twin cities of Minnesota[J]. Transportation Research Record: Journal of the Transportation Research Board, 2013,2383(1):18-26.
[4]	张永明,甄峰,曹新宇,等.基于区位和商品类型的居民购物过程分解比较——以南京为例[J].人文地理,2017,32(1):109-115. [Zhang Yongming, Zhen Feng, Cao Xinyu, et al. A comparative study on residents' shopping process by differentiating location and types of goods: A case study of Nanjing city[J]. Human Geography, 2017,32(1):109-115.]
[5]	汪明峰,卢姗.替代抑或补充：网上购物与传统购物出行的关系研究[J].人文地理,2012,27(3):44-49. [Wang Mingfeng, Lu Shan. Substitution or complementarity: Online shopping and its relationship with traditional shopping behavior[J]. Human Geography, 2012, 27(3):44-49.]
[6]	Anderson W P, Chatterjee L, Lakshmanan T R. E-Commerce, transportation, and economic geography[J]. Growth and Change, 2003, 34(4):415-432.
[7]	Farag S, Weltevreden J, Van Rietbergen T, et al. E-shopping in the Netherlands: Does geography matter?[J]. Environment and Planning B: Planning and Design, 2006,33(1):59-74.
[8]	席广亮,甄峰,汪侠,等.南京市居民网络消费的影响因素及空间特征[J]. 地理研究,2014,33(2):284-295. [Xi Guangliang, Zhen Feng, Wang Xia, et al. Study on the influencing factors and spatial characteristics of residents' online consumption in Nanjing[J]. Geographical Research, 2014,33(2):284-295.]
[9]	Zhen F, Du X J, Cao J, et al. The association between spatial attributes and e-shopping in the shopping process for search goods and experience goods: Evidence from Nanjing[J]. Journal of Transport Geography, 2018,66:291-299.
[10]	张逸姬,甄峰,张逸群. 社区O2O零售业的空间特征及影响因素——以南京市为例[J]. 经济地理,2019,39(11):104-112. [Zhang Yiji, Zhen Feng, Zhang Yiqun. Aadoption of O2O strategies by community retailers in Nanjing[J]. Economic Geography, 2019, 39(11):104-112.]
[11]	Nelson P. Information and consumer behavior[J]. Journal of Political Economy, 1970,78(2):311-329.
[12]	Couclelis H. Pizza over the internet: E-commerce, the fragmentation of activity and the tyranny of the region[J]. Entrepreneurship and Regional Development, 2004,16(1):41-54.
[13]	Partridge H L. Developing a human perspective to the digital divide in the 'smart city'[C]//Australian Library and Information Association Biennial Conference. Australian, 2004:1-7.
[14]	Bigne E, Ruiz C, Sanz S. The impact of internet user shopping patterns and demographics on consumer mobile buying behaviour[J]. Journal of Electronic Commerce Research, 2005,6(3):193-209.
[15]	Farag S, Krizek K J, Dijst M. E-shopping and its relationship with in-store shopping: Empirical evidence from the Netherlands and the USA[J]. Transport Reviews, 2007,26(1):43-61.
[16]	龚亚男,魏宗财,刘玉亭.广州市保障房住区居民网购行为特征及其影响因素[J]. 经济地理,2021,41(4):74-81. [Gong Yanan, Wei Zongcai, Liu Yuting. Online consumption behavior characteristics of the affordable housing residents and their influencing factors in Guangzhou[J]. Economic Geography, 2021,41(4):74-81.]
[17]	Cao X J, Douma F, Cleaveland F. Influence of e-shopping on shopping travel: Evidence from Minnesota's twin cities[J]. Transportation Research Record: Journal of the Transportation Research Board, 2010,2157(1):147-154.
[18]	Pavlou P A, Gefen D. Building effective online marketplaces with institution-based trust[J]. Information Systems Research, 2004, 15(1):37-59.
[19]	Farag S, Schwanen T, Dijst M, et al. Shopping online and/or instore? A structural equation model of the relationships between eshopping and in-store shopping[J]. Transportation Research Part A: Policy and Practice, 2007,41(2):125-141.
[20]	Xi G L, Zhen F, Cao X J, et al. The interaction between e-shopping and store shopping: Empirical evidence from Nanjing, China[J]. Transportation Letters, 2020,12(3):157-165.
[21]	Mowen J C, Licata J W, Mcphail J. Waiting in the emergency room: How to improve patient satisfaction[J]. Journal of Health Care Marketing, 1993,13(2):26.
[22]	傅辰昊,周素红,闫小培,等.广州市零售商业中心的居民消费时空行为及其机制[J]. 地理学报,2017,72(4):603-617. [Fu Chenhao, Zhou Suhong, Yan Xiaopei, et al. Spatio-temporal characteristics and influencing factors of consumer behavior in retailing centers: A case study of Guangzhou in Guangdong province[J]. Acta Geographica Sinica, 2017,72(4):603-617.]
[23]	许伟麟,李春江,柴彦威,等.新冠肺炎疫情影响下居民时空行为变化及其制约因素分析[J]. 城市发展研究,2021,28(3):3-9,17. [Xu Weilin, Li Chunjiang, Chai Yanwei, et al. Analyzing the changes in residents' space-time behaviors and constraints factors under the Influences of the COVID-19[J]. Urban Development Studies, 2021, 28(3):3-9,17.]
[24]	Hao N, Wang H H, Zhou Q. The impact of online grocery shopping on stockpile behavior in Covid-19[J]. China agricultural Economic Review, 2020,12(3):459-470.
[25]	袁晓玲,李彩娟,王非.疫情下居民消费动态变化分析与建议[J].北京工业大学学报(社会科学版),2020,20(5):31-39. [Yuan Xiaoling, Li Caijuan, Wang Fei. Analysis and suggestion on the dynamic changes of consumer economy under COVID-19 epidemic[J]. Journal of Beijing University of Technology (Social Sciences Edition), 2020,20(5):31-39.]
[26]	Grashuis J, Skevas T, Segovia M S. Grocery shopping preferences during the Covid-19 pandemic[J]. Sustainability, 2020,12(13):5369.
[27]	王亚卓.双渠道顾客消费行为研究[D].济南:山东大学,2011:205. [Wang Yazhuo. Research on the Dual-channel Customer Consumer Behavior[D]. Jinan: Shandong University, 2011:205.]
[28]	Zhen F, Wang B, Wei Z C. The rise of the internet city in China: Production and consumption of internet information[J]. Urban studies, 2015,52(13):2313-2329.
[29]	Xi G L, Cao X J, Zhen F. The impacts of same day delivery online shopping on local store shopping in Nanjing, China[J]. Transportation research. Part A, Policy and Practice, 2020,136:35-47.
[30]	张磊,陈红华,徐芬.农村消费者网上购买行为及影响因素分析[J]. 中国农业大学学报,2020,25(4):172-180. [Zhang Lei, Chen Honghua, Xu Fen. Analysis of rural consumers' online purchasing behavior and its influencing factors[J]. Journal of China Agricultural University, 2020,25(4):172-180.]
[31]	Singh R, Rosengren S. Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery[J/OL]. Journal of retailing and consumer services, 2020,53:101962. https://doi.org/10.1016/j.jretconser.2019.101962.
[32]	Fornell C, Larcker D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981,18(1):39-50.
[33]	Schwanen T, Dijst M, Kwan M. Icts and the decoupling of everyday activities, space and time: Introduction[J]. Tijdschrift voor Economische en Sociale Geografie, 2008,99(5):519-527.
[34]	翟青,高玉洁,魏宗财.南京市线上—线下餐饮空间分布格局——以大众点评网和饿了么为例[J]. 经济地理,2020,40(12):119-127. [Zhai Qing, Gao Yujie, Wei Zongcai. Spatial pattern of online and offline catering service in Nanjing：A case study of Dianping and Eleme[J]. Economic Geography, 2020,40(12):119-127.]
[35]	潍坊市统计局.2020潍坊统计年鉴[M]. 北京:中国统计出版社, 2020:190. [Weifang Bureau of Statistics. Weifang Statistical Yearbook[M]. Beijing: China Statistics Press, 2020:190.]
[36]	魏宗财,魏纾晴,彭丹丽,等.数字经济时代城市零售空间规划策略[J]. 规划师,2021,37(14):5-11. [Wei Zongcai, Wei Shuqing, Peng Danli, et al. Urban retail space planning strategies in the age of digital economy[J]. Planners, 2021,37(14):5-11.]