城市居民认知距离透视认知变形 ———以北京市为例
收稿日期: 2008-01-01
修回日期: 2008-02-01
网络出版日期: 2008-03-25
基金资助
国家自然科学基金(40701134), 国家高科技研究发展计划(863 计划) (2007AA12Z216).
Measur ement and Analysis on City Residents'Cognitive Distance Distor tion—A Case Study of Beijing
Received date: 2008-01-01
Revised date: 2008-02-01
Online published: 2008-03-25
对距离的认知是人类建立认知空间框架的重要基础。本文在相关研究的基础上, 对认知距离的特点进行了分析, 提出从数量认知距离与实际认知距离两种分析角度来分析这一概念。通过分别利用定义一元线性回归, 与 采用多维标度法(MDS)及二维回归(BR), 对认知距离的标量变形和向量变形进行定量分析。在此基础上, 以北京市 为例, 对北京市居民进行抽样调查。通过认知心理学实验的方式, 令被试估计城市主要地标两两之间的距离。对实 验结果分别将上述方法应用于计算北京市居民在标量变形和向量变形的定量化表示, 并进一步通过方差分析 (ANOVA)讨论了影响北京市居民对城市距离认知变形的因素, 包括年龄、居住地区等。
薛露露,申思,刘瑜,张毅 . 城市居民认知距离透视认知变形 ———以北京市为例[J]. 地理科学进展, 2008 , 27(2) : 96 -103 . DOI: 10.11820/dlkxjz.2008.02.013
Through generalizing related literature, we summarized some properties of cognitive distance and reduced all research on this concept into two aspects: pure value, and real cognitive distance. Further, we proposed a Distance Estimate Index (DEI) to quantify the scalar cognitive distance distortion. As far as vector cognitive distance distortion is considered, the Distortion Index (DI) computed by bi- dimensional regression is adopted to descript the degree of vector cognitive distance distortion. Based on these quantification methods, we conducted a survey on sampled Beijing residents, requesting the subjects to estimat the pairwise distances between 8 landmarks. And then we calculated the distortion of the two types of cognitive distances respectively by using linear regression and multidimensional scaling methods. Further, through ANOVA, we analyzed the factors that would possibly have influence on such distortion, like age and neighborhood. The result shows that the years of residence and the resident districts are the demographic variables that could influence an individual's accuracy in cognitive distance.
[1] Lloyd R. Spatial Cognition - Geographic Environments. Dordecht: Kluwer Academic Publishers, 1997.
[2] Mennis J L. Cognition & Semantic Database Representation in GIS
[D]. The Pennsylvania State University, 2001.8.
[3] Piaget J, Inhelder B. The child's conception of space. London: Routledge and Kegan Paul Ltd., 1956.
[4] Montello D R. The geometry of environmental knowledge. In A. U. Frank, I. Campari, & U. Formentini (Eds.), Theories and methods of spatio - temporal reasoning in geographic space. Berlin: Springer, 1992, 136~152.
[5] Ishikawa T, Montello D R. Spatial knowledge acquisition from direct experience in the environment: Individual differences in the development of metric knowledge and the integration of separately learned places, Cognitive Psychology, 2006, 52:93~129.
[6] 顾朝林, 宋国臣. 北京城市意象空间及构成要素研究. 地理学报, 2001, 56(1):64~74.
[7] Cadwallader MT. Problems in cognitive distance: Implications for cognitive mapping. Environment and Behavior, 1979, 11:559~576.
[8] Golledge R G, Stimson R.J. Spatial behavior: A geographic Perspective. New York: The Guilford press, 1997.
[9] Friedman A, Montello D R. Global - Scale location and distance estimates: common representations and strategies in absolute and relative judgments, Journal of experimental psychology learning, memory and cognition, 2006, 32 (3):333~346.
[10] Stevens S S. The direct estimate of sensory magnitudes - loudness. American journal of psychology, 1956, 69:1~25.
[11] Crompton A. Perceived distance in the city as a function of time. Environment and Behavior, 2006, 38:173~182.
[12] Qi C, Shu H, Xu A. Formal Properties of Cognitive Distance in Geographical Space," in 16th International Conference on Artificial Reality and Telexistence- -Workshops (ICAT'06), 2006: 408~412.
[13] Lee T R. Brenman's law of shopping behavior. Psychological Reports, 1962, 11:662.
[14] Paskin J. Are differences in children's travel reflected in their cognitive maps? In Underwood G. (Eds.) Traffic and transport psychology: Theory and Application, London, Elsevier, 2005:49~62.
[15] Xiao D, Liu Y. Cross - culture study of biases in location judgments, in: Winter S., Duckham M., Kulik L., Kuipers B. (Eds) COSIT'07, Lecture notes in computer science 4736, Berlin: Springer- Verlag, 2007, 20~31.
[16] Montello D R. The perception and cognition of environment distance: direct sources of information, in Hirtle S. C., Frank A.U. (Eds.) COSIT'97. Lecture notes in computer science 1329, Berlin: Springer- Verlag, 1997, 1329: 297~311.
[17] Buttenfield B SIG. Comparing distortion on sketch maps and MDS configurations, Professional Geographer, 1986, 38(3): 238~246.
[18] Schiffman S S, Reynolds M L. Introduction to multidimensional scaling: theory, methods, and applications, Burlington: Academic press, 1981.
[19] Friedman A, Kohler B. Bidimensional regression: Assessing the configural similarity and accuracy of cognitive maps and other two dimensional data sets, Psychology methods, 2003, 8(4):468~491.
[20] Nobbir A, Miller, H J. Time- space transformations of geographic space for exploring, analyzing and visualizing transportation systems, Journal of Transport Geography, 2007, 15:2~17.
[21] Kruskal J B, Wish M. Multidimensional Scaling, London: Sage Publications, 1978.
[22] Tobler W R. Bidimensional regression, unpublished manuscript, Department of Geography, University of California, Santa Barbara, 1978.
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