Research on the correlation between pedestrian density and street spatial characteristics of commercial blocks in downtown area: a case study on Shanghai Tianzifang

Kai Fang, Xinpeng Wang, Lin Chen, Zhehan Zhang, Nobuaki Furuya

Research output: Contribution to journalArticle

Abstract

Taking Shanghai Tianzifang as an example, this study attempted to utilize theories, such as the Space Syntax Theory, to build a multivariate model with street spatial characteristics as variables, and investigate the correlation between street spatial characteristics and pedestrian density in commercial blocks using multivariate regression analyses of the variables in this model. This study inspected two aspects of spatial characteristics of street space. First, in terms of commercial use characteristics, this study examined how pedestrian density is affected by three variables: store density, overflow ratio of store-front space. Density of building exits and entrances. Next, in terms of structural characteristics, this study probed the relationship between commercial pedestrian density and three other variables: street integration, height of buildings on both sides of the streets, and the stores’ distance from block entrances. Last, a multivariate regression analysis was conducted on the research data of the six variables. The results validated that four of the variables are correlated with commercial pedestrian density, in the order of their degree of influence: street integration, store density, density of building exits and entrances, and height of buildings on both sides of the streets.

Original languageEnglish
JournalJournal of Asian Architecture and Building Engineering
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

city center
pedestrian
syntax theory
building
multivariate analysis
regression analysis
regression
Shanghai
Regression analysis

Keywords

  • commercial characteristics
  • multivariate regression analysis
  • pedestrian density
  • Space syntax
  • structural characteristics

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Cultural Studies
  • Building and Construction
  • Arts and Humanities (miscellaneous)

Cite this

@article{f1491eb6309245e89ab735da7979758b,
title = "Research on the correlation between pedestrian density and street spatial characteristics of commercial blocks in downtown area: a case study on Shanghai Tianzifang",
abstract = "Taking Shanghai Tianzifang as an example, this study attempted to utilize theories, such as the Space Syntax Theory, to build a multivariate model with street spatial characteristics as variables, and investigate the correlation between street spatial characteristics and pedestrian density in commercial blocks using multivariate regression analyses of the variables in this model. This study inspected two aspects of spatial characteristics of street space. First, in terms of commercial use characteristics, this study examined how pedestrian density is affected by three variables: store density, overflow ratio of store-front space. Density of building exits and entrances. Next, in terms of structural characteristics, this study probed the relationship between commercial pedestrian density and three other variables: street integration, height of buildings on both sides of the streets, and the stores’ distance from block entrances. Last, a multivariate regression analysis was conducted on the research data of the six variables. The results validated that four of the variables are correlated with commercial pedestrian density, in the order of their degree of influence: street integration, store density, density of building exits and entrances, and height of buildings on both sides of the streets.",
keywords = "commercial characteristics, multivariate regression analysis, pedestrian density, Space syntax, structural characteristics",
author = "Kai Fang and Xinpeng Wang and Lin Chen and Zhehan Zhang and Nobuaki Furuya",
year = "2019",
month = "1",
day = "1",
doi = "10.1080/13467581.2019.1627215",
language = "English",
journal = "Journal of Asian Architecture and Building Engineering",
issn = "1346-7581",
publisher = "Architectural Institute of Japan",

}

TY - JOUR

T1 - Research on the correlation between pedestrian density and street spatial characteristics of commercial blocks in downtown area

T2 - a case study on Shanghai Tianzifang

AU - Fang, Kai

AU - Wang, Xinpeng

AU - Chen, Lin

AU - Zhang, Zhehan

AU - Furuya, Nobuaki

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Taking Shanghai Tianzifang as an example, this study attempted to utilize theories, such as the Space Syntax Theory, to build a multivariate model with street spatial characteristics as variables, and investigate the correlation between street spatial characteristics and pedestrian density in commercial blocks using multivariate regression analyses of the variables in this model. This study inspected two aspects of spatial characteristics of street space. First, in terms of commercial use characteristics, this study examined how pedestrian density is affected by three variables: store density, overflow ratio of store-front space. Density of building exits and entrances. Next, in terms of structural characteristics, this study probed the relationship between commercial pedestrian density and three other variables: street integration, height of buildings on both sides of the streets, and the stores’ distance from block entrances. Last, a multivariate regression analysis was conducted on the research data of the six variables. The results validated that four of the variables are correlated with commercial pedestrian density, in the order of their degree of influence: street integration, store density, density of building exits and entrances, and height of buildings on both sides of the streets.

AB - Taking Shanghai Tianzifang as an example, this study attempted to utilize theories, such as the Space Syntax Theory, to build a multivariate model with street spatial characteristics as variables, and investigate the correlation between street spatial characteristics and pedestrian density in commercial blocks using multivariate regression analyses of the variables in this model. This study inspected two aspects of spatial characteristics of street space. First, in terms of commercial use characteristics, this study examined how pedestrian density is affected by three variables: store density, overflow ratio of store-front space. Density of building exits and entrances. Next, in terms of structural characteristics, this study probed the relationship between commercial pedestrian density and three other variables: street integration, height of buildings on both sides of the streets, and the stores’ distance from block entrances. Last, a multivariate regression analysis was conducted on the research data of the six variables. The results validated that four of the variables are correlated with commercial pedestrian density, in the order of their degree of influence: street integration, store density, density of building exits and entrances, and height of buildings on both sides of the streets.

KW - commercial characteristics

KW - multivariate regression analysis

KW - pedestrian density

KW - Space syntax

KW - structural characteristics

UR - http://www.scopus.com/inward/record.url?scp=85068113431&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068113431&partnerID=8YFLogxK

U2 - 10.1080/13467581.2019.1627215

DO - 10.1080/13467581.2019.1627215

M3 - Article

AN - SCOPUS:85068113431

JO - Journal of Asian Architecture and Building Engineering

JF - Journal of Asian Architecture and Building Engineering

SN - 1346-7581

ER -