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Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia

Land (Basel), 2021-06, Vol.10 (6), p.655 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-445X ;EISSN: 2073-445X ;DOI: 10.3390/land10060655

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Title:
Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia
Author: Jiao, Jiacheng ; Rollo, John ; Fu, Baibai ; Liu, Chunlu
Subjects: built environment ; Case studies ; Central business districts ; Connectivity ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Density ; Environmental impact ; Factor analysis ; Land use ; Literature reviews ; Local government ; Melbourne ; Neighborhoods ; Older people ; Parking facilities ; pedestrian volume ; Pedestrians ; principal component analysis ; Principal components analysis ; Public transportation ; stepwise regression ; Urban environments ; Variables ; Walking ; Walkways
Is Part Of: Land (Basel), 2021-06, Vol.10 (6), p.655
Description: Previous studies have mostly examined how sustainable cities try to promote non-motorized travel by creating a walking-friendly environment. Such existing studies provide little data that identifies how the built environment affects pedestrian volume in high-density areas. This paper presents a methodology that combines person correlation analysis, stepwise regression, and principal component analysis for exploring the internal correlation and potential impact of built environment variables. To study this relationship, cross-sectional data in the Melbourne central business district were selected. Pearson’s correlation coefficient confirmed that visible green ratio and intersection density were not correlated to pedestrian volume. The results from stepwise regression showed that land-use mix degree, public transit stop density, and employment density could be associated with pedestrian volume. Moreover, two principal components were extracted by factor analysis. The result of the first component yielded an internal correlation where land-use and amenities components were positively associated with the pedestrian volume. Component 2 presents parking facilities density, which negatively relates to the pedestrian volume. Based on the results, existing street problems and policy recommendations were put forward to suggest diversifying community service within walking distance, improving the service level of the public transit system, and restricting on-street parking in Melbourne.
Publisher: Basel: MDPI AG
Language: English
Identifier: ISSN: 2073-445X
EISSN: 2073-445X
DOI: 10.3390/land10060655
Source: AUTh Library subscriptions: ProQuest Central
ROAD: Directory of Open Access Scholarly Resources
DOAJ Directory of Open Access Journals

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Exploring Effective Built Environment Factors for Evaluating Pedestrian Volume in High-Density Areas: A New Finding for the Central Business District in Melbourne, Australia

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