城市研究

芜湖市居民购物出行空间的等级结构演变特征及驱动机制

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  • 北京师范大学地理学与遥感科学学院, 北京100875
韩会然(1987- ),男,山东聊城人,博士研究生,研究方向为城市地理与区域发展研究。E-mail:hanhuiran@163.com

收稿日期: 2012-09-10

  修回日期: 2013-03-12

  网络出版日期: 2014-01-10

基金资助

国家自然科学基金项目(41271132);2010年中央高校基本科研业务费专项资金项目

The evolution of the hierarchy of shopping trip space for residents in Wuhu city and its driving mechanism

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  • School of Geography, Beijing Normal University, Beijing 100875, China

Received date: 2012-09-10

  Revised date: 2013-03-12

  Online published: 2014-01-10

摘要

居民购物出行空间是城市内部空间结构的重要组成部分。在对芜湖市居民问卷调查和访谈的基础上,分析了居民购物出行空间等级结构的演变特征及驱动机制。结果表明:① 芜湖市居民购物出行的空间距离具有减小的趋势,变化幅度最大的是家用电器与服装衣饰类等高等级商品,从中心区与郊区来看,中心城区居民的出行距离变化不大,郊区居民的购物出行距离明显缩短,反映了城市商业空间格局的分散化趋向。② 芜湖市居民购买不同类型商品出行的空间等级层次分明,基本符合中心地理论中的等级关系,购物地点逐渐从高级中心地向相对较低级中心地转移;日常用品类商品购物地等级下降最为明显,由2001年的介于三、四级中心地下降到2011年的四、五级中心地之间,下降了1个空间等级,具有明显的就近居住地购买趋向。③ 从政府政策作用、零售商供给、居住主体偏好等三方面剖析了居民购物出行空间演变的驱动机制,认为商业网点发展规划、新业态的集聚与扩散、职住分离与居住-消费空间错位、交通条件的改善、居民购物需求偏好等因素影响着居民购物出行空间的等级结构演变。

本文引用格式

韩会然, 杨成凤, 宋金平 . 芜湖市居民购物出行空间的等级结构演变特征及驱动机制[J]. 地理研究, 2014 , 33(1) : 107 -118 . DOI: 10.11821/dlyj201401010

Abstract

As western human geographers have continually paid more attention to the problems of humans and society, the focuses of urban geography have transformed from a macroscopic level, such as research on city system, to a microscopic level, such as research on shopping space, living space and commercial space. This has placed much emphasis on the composite power of urban spatial changes as well as research on the combination of multi-layered spaces including production, consumption, circulation, innovation and non-physical space research. The shopping space for residents is an important part of urban internal spatial structure. It is of great importance to analyze urban commercial spatial structure from the viewpoint of consumers' behavior. Based on interviews and questionnaires, the paper analyzes the evolution of the hierarchy structure of shopping trip space for residents in Wuhu and its driving mechanism. The result shows that: (1) As the average shopping distance of residents tends to be shortened, and the biggest change is their selection of household appliances and clothing; The changes of the shopping travel distance in central city are small, while in the suburbs those are shortened obviously, which reflects the diversification trend of urban commercial space structure. (2) Through constructing the hierarchy model for residents' shopping trip, we find that the hierarchy of shopping trip space to purchase different goods for residents in Wuhu is discernible, which is in line with the scale of hierarchical relationships in the Central Place Theory; Shopping circling structures and shopping sites of different goods present different characteristics, the hierarchy of shopping trip space tends to move down and the daily supplies goods is most obvious, the shopping places from the third and fourth central places in 2001 moved down to between the fourth and fifth central places, showing obviously purchasing trends near residences. (3) From government policy, retailers supply and residents' preference, we find that the driving mechanism of the evolution of shopping trip space in Wuhu city can attribute to many factors such as development planning of the commercial networks, concentration and diffusion of new business formats, the jobs-housing segregation and housing-consumption mismatch, improvement of the transportation conditions, and the residents' shopping demands preference.

参考文献

[1] 冯健. 转型期中国城市内部空间重构. 北京: 科学出版社, 2004: 140-180.[Feng Jian. Restructuring of urban internal space in China in the transition period. Beijing: Science Press, 2004: 140-180.]
[2] . 赵荣, 王恩涌, 张小林, 等. 人文地理学. 北京: 高等教育出版社, 2000: 361-363.[Zhao Rong, Wang Enyong, Zhang Xiaolin et al. Human Geography. Beijing: Higher Education Press, 2000:361-363.]
[3] 仵宗卿, 柴彦威, 戴学珍, 等. 购物出行空间的等级结构研究: 以天津市为例.地理研究, 2001, 20(4): 479-488.[Wu Zongqing, Chai Yanwei, Dai Xuezhen et al. On hierarchy of shopping trip space for urban residents: a case study of Tianjing city. Geographical Research, 2001, 20(4): 479-488.]
[4] Van Leeuwen, E S, Rietveld P. Spatial consumer behavior in small and medium sized towns. Regional Studies, 2010, 27(6): 1-13.
[5] Yuan, Y, Raubal, M, Liu, Y. Correlating mobile phone usage and travel behavior: A case study of Harbin, China. Computers, Environment and Urban Systems, 2012, 36(2): 118-130.
[6] Turley L W, Milliman R E. Milliman. Atmospheric effects on shopping behavior: A review of the experimental evidence. Journal of Business Research 2000, 49(2): 193-211.
[7] Golledge G R, Rushton G, Clark W A V. Some spatial characteristics of Iowa's farm population and their implications for the grouping of central place functions. Economic Geography, 1966, 42(3): 261-272.
[8] Davies R L. Structural models of retail distribution: analogies with settlement and land-use theories. Transactions of the Institute of British Geographers, 1972, 57 (11): 59-82.
[9] Moreno-Jimenez, A. Interurban shopping, new town planning and local development in Madrid metropolitan area. Journal of Retailing and Consume Services, 2001, 8 (5): 291-298.
[10] Schroder H, Zaharia S. Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer. Journal of Retailing and Consumer Services, 2008, 15 (6): 452-468.
[11] Marjanen H. Longitudinal study on consumer spatial shopping behavior with special reference to out-of-town shopping Experiences from Turku, Finland. Journal of Retailing and consumer Services, 1995, 2(3): 163-174.
[12] Bell D R, Bucklin R E, Sismeiro C. Consumer shopping behaviors and in-store expenditure decisions. Working Paper, Anderson School at UCLA, 110 Westwood Plaza, Los Angeles, 2000.
[13] Tang C S, Bell D R, Ho T H. Store choice and shopping behavior: how price format works. California Management Review, 2001, 43 (29): 56-74.
[14] Bell D R, Ho T H, Tang C S. Determining where to shop: fixed and variable costs of shopping, Journal of Marketing Research, 1998, 35 (8): 352-369.
[15] Dholakia U M, Kahn B E, Reeves R. Consumer behavior in a multichannel, Multimedia Retailing Environment. Journal of Interactive Marketing, 2010, 24(2): 86-95.
[16] Jones M A, Reynolds K E. The role of retailer interest on shopping behavior. Journal of Retailing, 2006, 82(2): 115-126.
[17] Richard M O, Chebat J C, Yang Z. A proposed model of online consumer behavior: assessing the role of gender. Journal of Business Research, 2010, 63(9): 926-934.
[18] Ha S, Stoel L. Consumer e-shopping acceptance: antecedents in a technology acceptance model. Journal of Business Research, 2009, 62 (6): 565-571.
[19] 古杰, 周素红, 闫小培. 生命历程视角下的广州市居民居住迁移的时空路径. 地理研究, 2013, 32(1): 157-165.[Gu Jie, Zhou Suhong, Yan Xiaopei. The space-time paths of residential mobility in Guangzhou from a perspective of life course. Geographical Research, 2013, 32(1): 157-165.]
[20] 柴彦威, 肖作鹏, 刘志林. 居民家庭日常出行碳排放的发生机制与调控策略: 以北京为例. 地理研究, 2012, 31(2): 334-344.[Chai Yanwei, Xiao Zuopeng, Liu Zhilin. Low-carbon optimization strategies based on CO2emission mechanism of household daily travels: a case study of Beijing. Geographical Research, 2012, 31(2): 334-344.]
[21] 周素红, 邓丽芳. 基于T-GIS 的广州市居民日常活动时空关系. 地理学报, 2010, 65(12): 1454-1463.[Zhou Suhong, Deng Lifang. Spatio-temporal pattern of residents' daily activities based on T-GIS: a case study in Guangzhou China. Acta Geographica Sinica, 2010, 65(12): 1454-1463.]
[22] 古杰, 周素红, 闫小培, 等. 居民日常出行时空集聚视角下的城市交通拥堵形成机制研究: 以广州为例. 地理科学, 2012, 32(8):921-927.[Gu Jie, Zhou Suhong, Yan Xiaopei, et al. Formation mechanism of traffic congestion in view of spatio-temporal agglomeration of residents'daily activities: A case study of Guangzhou. Scientia Geographica Sinica, 2012, 32(8): 921-927.]
[23] 胡继华, 程智锋, 詹承志, 等. 基于时空路径的城市公交时间可靠性研究. 地理科学, 2012, 32(6): 673-679.[Hu Jihua, Cheng Zhifeng, Zhan Chengzhi, et al. Time reliability of urban public transportation using space-time path. Scientia Geographica Sinica, 2012, 32(6): 673-679.]
[24] 季珏, 高晓路. 基于居民日常出行的生活空间单元的划分. 地理科学进展, 2012, 31(2): 248-254.[Ji Jue, Gao Xiaolu. Identifying the scope of daily life in urban areas based on residents' travel behaviors. Progress in Geography, 2012, 31 (2): 248-254.]
[25] 甄峰, 翟青, 陈刚, 等. 信息时代移动社会理论构建与城市地理研究. 地理研究, 2012, 31(2): 197-206.[Zhen Feng, Zhai Qing, Chen Gang, et al. Mobile social theory construction and urban geographic research in the information era. Geographical Research, 2012, 31(2): 197-206.]
[26] 甄峰, 魏宗财, 杨山, 等. 信息技术对城市居民出行特征的影响. 地理研究, 2009, 28(5): 1307-1317.[Zhen Feng, Wei Zongcai, Yang Shan, et al. The impact of information technology on the characteristics of urban resident travel: case of Nanjing. Geographical Research, 2009, 28(5): 1307-1317.]
[27] 王德, 张晋庆. 上海市消费者出行特征与商业空间结构分析. 城市规划, 2001, 25(10): 6-14.[Wang De, Zhang Jinqing. The analysis of consumer trip characteristics and spatial structure of commercial facilities in Shanghai. City Planning Review, 2001, 25(10): 6-14.]
[28] 柴彦威, 翁桂兰, 沈洁. 基于居民购物消费行为的上海城市商业空间结构研究. 地理研究, 2008, 27(4): 897-906.[Chai Yanwei, Weng Guilan, Shen Jie. A study on commercial structure of Shanghai based on residents' shopping behavior. Geographical Research, 2008, 27(4): 897-906.]
[29] 冯健, 陈秀欣, 兰宗敏. 北京市居民购物行为空间结构演变. 地理学报, 2007, 62(10): 1083-1096.[Feng Jian, Chen Xiuxin, Lan Zongmin. The evolution of spatial structure of shopping behaviors of Beijing's residents. Acta Geographica Sinica, 2007, 62(10): 1083-1096.]
[30] 李伯华, 刘沛林, 张博野, 等. 欠发达地区农户消费行为空间结构演变特征: 以湖北省黄冈市为例.地理科学进展, 2011, 30(4): 452-462.[Li Bohua, Liu Peilin, Zhang Boye et al. The evolution of spatial structure of rural households' consuming behaviors in undeveloped rural areas and its influencing factors: a case of Ercheng town in Hubei province. Progress in Geography, 2011, 30(4): 452-462.]
[31] 柴彦威, 沈洁, 翁桂兰. 上海居民购物行为的时空间特征及其影响因素. 经济地理, 2008, 28(2): 221-227.[Chai Yanwei, Shen Jie, Weng Guila. A study on activity space of shopping of Shanghai residents: temporal and spatial characteristics and relative influencing factors. Economic Geography, 2008, 28(2): 221-227.]
[32] 叶强, 谭怡恬, 谭立力. 大型购物中心对城市商业空间结构的影响研究: 以长沙市为例. 经济地理, 2011, 31(3): 426-431.[Ye Qiang, Tan Yitian, Tan Lili. The impact of large scale shopping centers on urban commercial spatial structure: a case of Changsha city. Economic Geography, 2011, 31(3): 426-431.]
[33] 宋金平, 王恩儒, 张文新, 等. 北京住宅郊区化与就业空间错位. 地理学报, 2007, 62(4): 387-396.[Song Jinping, Wang Enru, Zhang Wenxin, et al. Housing suburbanization and employment spatial mismatch in Beijing. Acta Geographica Sinica, 2007, 62(4): 387-396.]
[34] 徐涛, 宋金平, 方琳娜, 等. 北京居住与就业的空间错位研究. 地理科学, 2009, 29(2): 174-180.[Xu Tao, Song Jinping, Fang Linna et al. Spatial mismatch between housing and employment in Beijing. Scientia Geographica Sinica, 2009, 29(2): 174-180.]
[35] 柴彦威, 张艳, 刘志林. 职住分离的空间差异性及其影响因素研究. 地理学报, 2011, 66(2): 157-166.[Chai Yanwei, Zhang Yan, Liu Zhilin. Spatial differences of home-work separation and the impacts of housing policy and urban sprawl: evidence from household survey data in Beijing. Acta Geographica Sinica, 2011, 66(2): 157-166.]
[36] 焦华富, 胡静. 芜湖市就业与居住空间匹配研究. 地理科学, 2011, 31(7): 788-793.[Jiao Huafu, Hu Jing. Spatial match between employment and housing in Wuhu city, Anhui province of China. Scientia Geographica Sinica, 2011, 31(7): 788-793.]
[37] 张文佳, 柴彦威. 基于家庭的购物行为时、空间决策模型及其应用. 地理研究, 2010, 29 (2): 338-350.[Zhang Wenjia, Chai Yanwei. A household-based model of shopping decision-making behavior in timing and destination choice: Formulation and application to spatial policy evaluation. Geographical Research, 2010, 29 (2): 338-350.]
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