Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36291
Title: Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations
Authors: ADEEL, Ahmad 
Notteboom, B
YASAR, Ansar 
Scheerlinck, K
Stevens, J
Issue Date: 2021
Publisher: MDPI
Source: Sustainability (Basel), 13 (12) (Art N° 6594)
Abstract: The incompatibility between the microscale-built environment designs around mass transit stations and stakeholders' preferences causes dissatisfaction and inconvenience. The lack of a pedestrian-friendly environment, uncontrolled development patterns, traffic and parking issues make the street life vulnerable and unattractive for users, and affect the mass transit usage. How to design the streetscapes around mass transit stations to provide a user-friendly street environment is a crucial question to achieve sustainable transit-oriented development goals. To recognize the specific attributes of streetscape environment relevant in local context of BRT Lahore, this paper presents the results of a visual preference experiment in which nine attributes of built environment were systematically varied across choice sets. Multinomial logit models were set up to identify the preferences of three target groups: BRT users, commercial building users and residents at different locations. The research indicates that not only the road-related factors (bike lane and sidewalk widths, crossings facilities, street greenery) have a significant influence on people's preference but also that building heights, and the typology of buildings and housing projects around BRT corridor have shaped these preferences. When planning and designing urban design projects around mass transit projects, these significant attributes should be considered.
Keywords: built environment;sustainable streetscapes;healthy urban design;walkable neighborhoods;sustainable transit-oriented development
Document URI: http://hdl.handle.net/1942/36291
e-ISSN: 2071-1050
DOI: 10.3390/su13126594
ISI #: 000666350900001
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

Show full item record

WEB OF SCIENCETM
Citations

4
checked on Apr 24, 2024

Page view(s)

38
checked on Sep 7, 2022

Download(s)

8
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.