Eliciting citizens' priorities for active travel infrastructure investments: A qualitative analysis of best-worst scaling experiments

被引:1
|
作者
Albahlal, Fahad [1 ]
Haggar, Paul [2 ]
Potoglou, Dimitris [1 ]
机构
[1] Cardiff Univ, Sch Geog & Planning, Cardiff CF10 3WA, Wales
[2] Univ Bath, Dept Psychol, Bath BA2 7AY, England
关键词
Walking infrastructure investment; Cycling infrastructure investment; Cognitive interviewing; Best-worst scaling; Walking; Cycling; BUILT ENVIRONMENT; QUESTIONS; HEALTH; AUDIT; TIMES; WALKABILITY; RELIABILITY; INSTRUMENT; COMPLEXITY; CONCRETE;
D O I
10.1016/j.jth.2024.101795
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Introduction: The built environment plays an important role in individuals' propensity to walk and cycle and local authorities increasingly invest financial resources towards its development. Organisations responsible for the built environment have developed auditing tools as guidelines to inspect routes and identify improvements to support active travel. Methods: Using these auditing tools as a starting point, this study developed 21 walking and 25 cycling investment -relevant factors that were embedded into two choice-based survey instruments, respectively. The study used cognitive interview pre -testing to internally validate a preference-based elicitation approach known as Best-Worst Scaling (BWS), which aimed to capture pedestrian and cyclist preferences. We report findings from cognitive interviews (data analysed thematically) with 20 participants (10 pedestrians and 10 cyclists). Results: In both sets of interviews, four themes emerged regarding how the participants approached the BWS task and five themes related to the understanding of the factors. The BWS choice tasks required refinement regarding the 'frame of reference', 'travel context', the 'decisionmaking strategy', and the 'concrete thinking' (finding some factors easier to interpret). Additionally, issues with understanding the factors, the wording, 'overlapping', negatively phrased factors, and technical jargon all pointed towards the need to refine auditing tools if these were to be introduced in a preference elicitation context. Conclusions: This study helps to empirically uncover how citizens interpret infrastructure related aspects of walking and cycling by pointing to nuanced aspects that auditing tools may miss. The findings also helped develop an internally consistent preference elicitation survey-instrument that any local authority can implement to determine which walking and cycling infrastructure investments are a priority in their area.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Public tolerance of lethal wildlife management in Japan: A best-worst scaling questionnaire analysis
    Yin, Zijun
    Kamimura, Yusuke
    Imoto, Tomoko
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 345
  • [42] Assessing citizens' views on the importance of animal welfare and other sustainability aspects in livestock farming using best-worst scaling
    Schuetz, Aurelia
    Sonntag, Winnie Isabel
    Christoph-Schulz, Inken
    Faletar, Ivica
    FRONTIERS IN ANIMAL SCIENCE, 2023, 4
  • [43] Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data
    Potoglou, Dimitris
    Burge, Peter
    Flynn, Terry
    Netten, Ann
    Malley, Juliette
    Forder, Julien
    Brazier, John E.
    SOCIAL SCIENCE & MEDICINE, 2011, 72 (10) : 1717 - 1727
  • [44] Estimating preferences for a dermatology consultation using Best-Worst Scaling: Comparison of various methods of analysis
    Flynn, Terry N.
    Louviere, Jordan J.
    Peters, Tim J.
    Coast, Joanna
    BMC MEDICAL RESEARCH METHODOLOGY, 2008, 8 (1)
  • [45] Exploring tourist preferences for local food: a Best-Worst Scaling analysis and market segmentation approach
    Tiganis, Antonios
    Chrysochou, Polymeros
    BRITISH FOOD JOURNAL, 2024, 126 (12): : 4093 - 4107
  • [46] Quantitative analysis of multiple sclerosis patients' preferences for drug treatment: a best-worst scaling study
    Lynd, Larry D.
    Traboulsee, Anthony
    Marra, Carlo A.
    Mittmann, Nicole
    Evans, Charity
    Li, Kathy H.
    Carter, Melanie
    Hategekimana, Celestin
    THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS, 2016, 9 (04) : 287 - 296
  • [47] Estimating preferences for a dermatology consultation using Best-Worst Scaling: Comparison of various methods of analysis
    Terry N Flynn
    Jordan J Louviere
    Tim J Peters
    Joanna Coast
    BMC Medical Research Methodology, 8
  • [48] An importance-performance analysis of public transport to the university campus based on best-worst scaling
    Matas-Monroy, Javier Hernan
    Martin, Juan Carlos
    Roman, Concepcion
    RESEARCH IN TRANSPORTATION ECONOMICS, 2025, 109
  • [49] Meaningful Treatment Outcomes for Sanfilippo Syndrome: Using a Combination of Focus Groups and Best-Worst Scaling to Elicit and Explore Parents' Priorities
    Andrews, Sara
    Mansfield, Carol
    O'Neill, Cara
    Peay, Holly
    INTERNATIONAL JOURNAL OF QUALITATIVE METHODS, 2020, 19
  • [50] A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best–Worst Scaling for Eliciting Preferences in Healthcare
    Jennifer A. Whitty
    Ana Sofia Oliveira Gonçalves
    The Patient - Patient-Centered Outcomes Research, 2018, 11 : 301 - 317