scholarly journals Determinant Factors of Pedestrian Volume in Different Land-Use Zones: Combining Space Syntax Metrics with GIS-Based Built-Environment Measures

2020 ◽  
Vol 12 (20) ◽  
pp. 8647
Author(s):  
Sugie Lee ◽  
Chisun Yoo ◽  
Kyung Wook Seo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Space Syntax ◽  
Global Integration ◽  
Street Design ◽  
Determinant Factors ◽  
Environment Variables ◽  
Public Data ◽  
Local Integration ◽  
Global And Local

This study combined space syntax metrics and geographic information systems (GIS)-based built-environment measures to analyze pedestrian volume in different land-use zones, as recorded in unique public data from a pedestrian volume survey of 10,000 locations in Seoul, Korea. The results indicate that most of the built-environment variables, such as density, land use, accessibility, and street design measures, showed statistically significant associations with pedestrian volume. Among the syntactic variables, global integration showed a statistically significant association with the average pedestrian volume in residential and commercial zones. In contrast, local integration turned out to be an important factor in the commercial zone. Therefore, this study concludes that the syntactic variables of global and local integration, as well as some built-environment variables, should be considered as determinant factors of pedestrian volume, though the effects of those variables varied by land-use zone. Therefore, planning and public policies should use tailored approaches to promote urban vitality through pedestrian volume in accordance with each land-use zone’s characteristics.

scholarly journals Democratic Street: An application of Space Syntax in testing the spatial justice among women pedestrian

2020 ◽  
Vol 5 (13) ◽  
pp. 405-414
Author(s):  
Nurul Shakila Khalid ◽  
Na’asah Nasrudin ◽  
Yusfida Ayu Abdullah ◽  
Ishak Che Abdullah
Keyword(s):  
Publishing House ◽  
Space Syntax ◽  
Spatial Justice ◽  
International Publishing ◽  
Local Integration ◽  
Analysis Models ◽  
Global And Local ◽  
Grid Layout ◽  
Open Access Article

This research examines the quality of streets and public life among women through observation. Axial analysis models are combined into Space Syntax to hypothesize the effect of grid layout on street vitality and sociability in shopping streets by using global and local integration to measure how women use the space. The result indicated that there is a correlation among these parameters with the following spatial configurative analyses; integrated streets attract more women pedestrians and how women feel as well as they use street space.Keywords: Democratic Street; Spatial Justice; Women; Space SyntaxeISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v5i13.1967

scholarly journals Understanding walkable areas: applicability and analysis of a walkability index in a Brazilian city

2018 ◽  
Vol 18 (4) ◽  
pp. 413-425 ◽  
Author(s):  
Monica Cristina Nishikawa Motomura ◽  
Larissa Casaril da Fontoura ◽  
Milena Kanashiro
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Developed Countries ◽  
Housing Projects ◽  
Floor Area Ratio ◽  
Walkability Index ◽  
Environment Variables ◽  
Land Use Mix ◽  
Intersection Density

Abstract Considering the growing of chronic non-communicable diseases worldwide, many studies have pointed out the role of the built environment as a support for walking. These studies are being applied in metropolitan and county regions or in specific areas of larger citiesof developed countries. Nevertheless, there is noevidences of the application of the walkability index in an entire Brazilian city. The main objective of this study is to understand walkable areas in a Brazilian medium sized city such as Cambé - PR, based on the walkability variables defined by Frank et al. (2010). The index systematizes four built environment variables: net residential density, retail floor area ratio, intersection density and land use mix. The results show that higher walkability areas are located in downtown and in three areas in the outskirts of Cambé, which were formerly designed to attend social housing projects. The transformations of land use mix and the urban layout characteristics of these areas improved the walkability level. This paper contributes to enlighten the characteristics of walkable areas and highlights a different outcome when considering a city of a developing country such as Brazil.

Impact of Built Environment on Mode Choice to Major Destinations in Dhaka

2020 ◽  
pp. 036119812097841
Author(s):  
Paromita Nakshi ◽  
Anindya Kishore Debnath
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Travel Behavior ◽  
Mode Choice ◽  
Multinomial Logit Model ◽  
Dissimilarity Index ◽  
Road Density ◽  
Environment Factors ◽  
Environment Variables ◽  
Study Results

In recent years, there has been a growing interest in investigating the impacts of built environment on mode choice decisions. There is a consensus that built environment factors influence travel behavior, although this influence is far from being homogenous. Compared with the North American and some European countries, there has been comparatively limited research in this field in the context of the Global South, especially South Asia. In this context, this paper aims to explore the extent to which built environment influences mode choice behavior to major destinations in Dhaka, the capital of Bangladesh. “Major destinations” refers to the statistically significant trip-attracting clusters in the city. Dhaka is a city with heterogeneous motorized and non-motorized modes. Investigating mode choice decisions, in such a setting, is vital for the planners and policymakers to realize the goals of sustainable development with measured insights. A multinomial logit model was used to estimate the effects of built environment factors on mode choice to work and non-work trips in Dhaka. The study results showed that inclusion of built environment variables had significantly improved the models. Several built environment variables, including dissimilarity index, distance to the nearest bus stop, road density, and so forth, were found to be strong predictors of mode choice, and their elasticities were higher than the elasticities of several personal and household characteristics. Down that line, the findings provided support in favor of considering land use policies intended to increase accessibility, mixed land use, density, and so forth.

scholarly journals Do Neighborhoods with Highly Diverse Built Environment Exhibit Different Socio-Economic Profiles as Well? Evidence from Shanghai

2021 ◽  
Vol 13 (14) ◽  
pp. 7544
Author(s):  
George Grekousis ◽  
Zhoulin Pan ◽  
Ye Liu
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Built Environments ◽  
Environment Variables ◽  
The Social ◽  
Land Use Mix ◽  
High Level ◽  
Social Landscapes ◽  
Neighborhood Level

The link between the built environment and residential segregation has long been of interest to the discussion for sustainable and socially resilient cities. However, direct assessments on how extensively diverse built environments affect the social landscapes of cities at the neighborhood level are rare. Here, we investigate whether neighborhoods with a diverse built environment also exhibit different socio-economic profiles. Through a geodemographic approach, we scrutinize the socio-economic composition of Shanghai’s neighborhoods. We statistically compare the top 10% (very high values) to the bottom 10% (very low values) of the following built environment variables: density, land use mix, land use balance, and greenness. We show that high-density areas have three times the percentage of divorced residents than low-density areas. Neighborhoods with a high level of greenness have median values of 30% more residents aged between 25–44 years old and five times the percentage of houses between 60 to 119 m2 than low-greenness areas. In high land-use mix areas, the share of people that live on a pension is 30% more than the low land-use mix areas. The findings of this study can be used to improve the designs of modern, sustainable cities at the neighborhood level, significantly improving quality of life.

Quantitative Analysis of the Center City of Harbin Based on Space Syntax

2014 ◽  
Vol 584-586 ◽  
pp. 512-516
Author(s):  
Jun Dong ◽  
Xu Lian
Keyword(s):  
Quantitative Analysis ◽  
Space Syntax ◽  
Global Integration ◽  
Future Planning ◽  
Syntax Analysis ◽  
Spatial Intelligence ◽  
Evolution Characteristics ◽  
Local Integration ◽  
Center City ◽  
Space Syntax Analysis

Space syntax was used to analyse quantificationally unapproved overall planning of Harbin in 2004 and approved overall planning of Harbin in 2011 in this paper. Comparing to global integration, local integration and spatial intelligence degree of space syntax analysis results, summarize the evolution characteristics and come to conclusion that contains law of development and prospect of Harbin center city. It can provide reference for future planning.

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

Car Ownership and the Built Environment: A Spatial Modeling Approach

2021 ◽  
pp. 036119812110494
Author(s):  
Jerome Laviolette ◽  
Catherine Morency ◽  
Owen D. Waygood ◽  
Konstadinos G. Goulias
Keyword(s):  
Built Environment ◽  
Spatial Dependence ◽  
Linear Models ◽  
Census Data ◽  
Model Specification ◽  
Car Ownership ◽  
Grocery Stores ◽  
Modeling Framework ◽  
Explanatory Variables ◽  
Environment Variables

Car ownership is linked to higher car use, which leads to important environmental, social and health consequences. As car ownership keeps increasing in most countries, it remains relevant to examine what factors and policies can help contain this growth. This paper uses an advanced spatial econometric modeling framework to investigate spatial dependences in household car ownership rates measured at fine geographical scales using administrative data of registered vehicles and census data of household counts for the Island of Montreal, Canada. The use of a finer level of spatial resolution allows for the use of more explanatory variables than previous aggregate models of car ownership. Theoretical considerations and formal testing suggested the choice of the Spatial Durbin Error Model (SDEM) as an appropriate modeling option. The final model specification includes sociodemographic and built environment variables supported by theory and achieves a Nagelkerke pseudo-R2 of 0.93. Despite the inclusion of those variables the spatial linear models with and without lagged explanatory variables still exhibit residual spatial dependence. This indicates the presence of unobserved autocorrelated factors influencing car ownership rates. Model results indicate that sociodemographic variables explain much of the variance, but that built environment characteristics, including transit level of service and local commercial accessibility (e.g., to grocery stores) are strongly and negatively associated with neighborhood car ownership rates. Comparison of estimates between the SDEM and a non-spatial model indicates that failing to control for spatial dependence leads to an overestimation of the strength of the direct influence of built environment variables.

Disablism, Planning, and the Built Environment

1993 ◽  
Vol 11 (2) ◽  
pp. 213-231 ◽  
Author(s):  
R F Imrie ◽  
P E Wells
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Land Use Planning ◽  
Local Authority ◽  
Planning System ◽  
Political Agenda ◽  
The Political ◽  
Disabled People ◽  
The Uk

In the last decade access for disabled people to public buildings has become an important part of the political agenda. Yet, one of the main forms of discrimination which still persists against disabled people is an inaccessible built environment. In particular, statutory authorities have been slow to acknowledge the mobility and access needs of disabled people, and the legislative base to back up local authority policies remains largely ineffectual and weak. In this paper, the interrelationships between disability and the built environment are considered by focusing on the role of the UK land-use planning system in securing access provision for disabled people.

Frontiers in Land Use and Travel Research

2012 ◽  
pp. 633-664
Author(s):  
Marlon G. Boarnet
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Built Environment ◽  
Travel Behavior ◽  
Standard Approach ◽  
Hypothesis Tests ◽  
Key Issues

This article examines research concerning land use and travel behavior in relation to urban planning. It summarizes the standard approach to studying land use and travel behavior, and identifies the key issues that should be the focus of planning research going forward. The analysis reveals that the literature on land use and travel behavior has so far focused almost exclusively on hypothesis tests regarding the association between the built environment and travel, and on the magnitude of the associations.

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