Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33889
Title: Sustainable Transportation and Policy Development: A Study for Impact Analysis of Mobility Patterns and Neighborhood Assessment of Walking Behavior
Authors: de Siqueira, Gustavo
ADEEL, Ahmad 
Pasha, Petrit
Al Balushi, Amal
SHAH, Syyed 
Issue Date: 2021
Publisher: MDPI
Source: Sustainability, 13 (4) (Art N° 1871)
Abstract: Since rapid growth and car-oriented patterns became a global threat and non-communicable diseases (NCDs) levels are advancing, strategies to redesign the built environment into healthier spaces have gained importance. Walkability plays a central role in this context. However, the literature is dominated by studies from western industrialized countries. In this paper, we employed structural equational modeling to analyze perceptual data collected from different neighborhoods of Muscat. We compared the responses regarding environmental attributes to the frequency of walking for transport. We found that land use mix combined with low residential density are the factors that have the highest impact on pedestrian activity. Conversely, the estimates of the pedestrian infrastructure were surprisingly low, suggesting that, in car dominant societies, walking perceptions are affected by drivers' perspectives.
Notes: de Siqueira, G (corresponding author), German Univ Technol, Dept Urban Planning & Architectural Design, Muscat 130, Oman.
Gustavo.desiqueira@gutech.edu.om; ahmad.adeel@kuleuven.be;
petrit.pasha@gutech.edu.om; amalalbalushi@hotmail.com;
syyed.adnanraheelshah@uhasselt.be
Other: e Siqueira, G (corresponding author), German Univ Technol, Dept Urban Planning & Architectural Design, Muscat 130, Oman. Gustavo.desiqueira@gutech.edu.om; ahmad.adeel@kuleuven.be; petrit.pasha@gutech.edu.om; amalalbalushi@hotmail.com; syyed.adnanraheelshah@uhasselt.be
Keywords: sustainability;transport;urban planning;mobility;walking;neighborhood
Document URI: http://hdl.handle.net/1942/33889
e-ISSN: 2071-1050
DOI: 10.3390/su13041871
ISI #: WOS:000624826500001
Rights: 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/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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