EconPapers    
Economics at your fingertips  
 

Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil

Ana Margarita Larranaga (), Julian Arellana (), Luis Ignacio Rizzi, Orlando Strambi and Helena Beatriz Bettella Cybis
Additional contact information
Ana Margarita Larranaga: Federal University of Rio Grande do Sul
Luis Ignacio Rizzi: Pontificia Universidad Católica de Chile
Orlando Strambi: University of São Paulo-Escola Politécnica
Helena Beatriz Bettella Cybis: Federal University of Rio Grande do Sul

Transportation, 2019, vol. 46, issue 6, No 18, 2347-2379

Abstract: Abstract This paper pursues three goals: (1) determining the relative importance of built environment barriers limiting walkability, (2) analyzing the existence of an asymmetry in the way people evaluate positive and negative built environment characteristics, and (3) identifying solutions to tackle the main barriers and quantify their impact in walkability. A best–worst scaling survey was developed to compare the importance of eight different attributes of the built environment regarding walkability. Model results show an asymmetry negative–positive in the judgment and choice of built environment characteristics that promote and impede walkability. The most important barriers, obtained from worst responses, are connectivity, topography, sidewalk surface and absence of policemen. Walkability scores were computed for different neighbourhoods and different policy scenarios were forecasted. Simulation results from the worst responses indicate that improvements in sidewalk quality, along with an increase in the number of police officers, lead to an 85% increase in the walkability score for the lower income neighbourhoods.

Keywords: Best–worst scaling; Discrete choice modelling; Walkability; Built environment barriers (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://link.springer.com/10.1007/s11116-018-9944-x Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:transp:v:46:y:2019:i:6:d:10.1007_s11116-018-9944-x

Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11116/PS2

DOI: 10.1007/s11116-018-9944-x

Access Statistics for this article

Transportation is currently edited by Kay W. Axhausen

More articles in Transportation from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:transp:v:46:y:2019:i:6:d:10.1007_s11116-018-9944-x