Spatial city image and its formative factors: A street-based neighborhood cognition analysis

被引:7
作者
Oyama, Yuki [1 ]
机构
[1] Shibaura Inst Technol, Dept Civil Engn, 3-7-5 Toyosu,Koto Ku, JP-1358548 Tokyo, Japan
关键词
City image; Spatial cognition; Heterogeneity; Street view imagery; Streetscape greenery; Discrete choice analysis; RESIDENTS PERCEPTIONS; BUILT ENVIRONMENT;
D O I
10.1016/j.cities.2024.104898
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
This study analyzes the formative factors of the spatial image of two urban neighborhoods in Tokyo, Japan. Cognitive maps were collected from both residents and visitors, depicting spatial domains as imagined by the names of the neighborhoods. Using street segments as spatial units of analysis, this study analyzed the factors affecting individuals' perceptions of streets. As a result, as well as boundaries such as rivers and avenues, visual landscape features that were extracted from street images had non-trivial effects on street perception. In particular, the presence of visible streetscape greenery is positively associated with the probability of streets being perceived within the neighborhoods. However, the effect sizes differ between the two neighborhoods, suggesting the need for streetscape designs according to the existing city images. The results also revealed interindividual heterogeneity in neighborhood cognition by gender, age, and familiarity with the neighborhood. While the original hypothesis was that the spatial extent of the perceived neighborhood would widen according to familiarity, the opposite result was obtained. This might explain the process of people obtaining certainty of neighborhood cognition and optimizing/fixing daily activity places according to experiences.
引用
收藏
页数:18
相关论文
共 40 条
[1]  
Anselin L., 1988, Spatial econometrics: methods and models, V4
[2]   How do street attributes affect willingness-to-walk? City-wide pedestrian route choice analysis using big data from Boston and San Francisco [J].
Basu, Rounaq ;
Sevtsuk, Andres .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2022, 163 :1-19
[3]  
Ben-Akiva M., 1985, Discrete Choice Analysis: Theory and Application to Travel Demand
[4]  
Bierlaire M, 2003, P 3 SWISS TRANSPORTA
[5]  
Bierlaire M., 2020, Report TRANSP-OR, 200605
[6]   Measuring the Built Environment for Physical Activity State of the Science [J].
Brownson, Ross C. ;
Hoehner, Christine M. ;
Day, Kristen ;
Forsyth, Ann ;
Sallis, James F. .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2009, 36 (04) :S99-S123
[7]   DISTANCE ESTIMATION IN CITIES [J].
CANTER, D ;
TAGG, SK .
ENVIRONMENT AND BEHAVIOR, 1975, 7 (01) :59-80
[8]  
Cliff A. D., 1981, SPATIAL PROCESSES MO
[9]  
Couclelis H, 1987, Journal of Environmental Psychology, V7, P99, DOI [10.1016/S0272-4944(87)80020-8, 10.1016/ S0272- 4944( 87) 80020- 8]
[10]   Mapping residents' perceptions of neighborhood boundaries: A methodological note [J].
Coulton, CJ ;
Korbin, J ;
Chan, T ;
Su, M .
AMERICAN JOURNAL OF COMMUNITY PSYCHOLOGY, 2001, 29 (02) :371-383