An importance-performance analysis of public transport to the university campus based on best-worst scaling

被引:0
|
作者
Matas-Monroy, Javier Hernan [1 ]
Martin, Juan Carlos [2 ]
Roman, Concepcion [2 ]
机构
[1] Univ Las Palmas Gran Canaria, Inst Tourism & Sustainable Econ Dev, Las Palmas Gran Canaria, Spain
[2] Univ Las Palmas Gran Canaria, Inst Tourism & Sustainable Econ Dev, Las Palmas Gran Canaria 35017, Spain
关键词
Public transport; University students; Campus mobility; Best-worst scaling; Importance-performance analysis; Discrete choice models; DISCRETE-CHOICE EXPERIMENTS; CUSTOMER SATISFACTION; SUSTAINABLE MOBILITY; USER SATISFACTION; BUS SERVICE; COLLEGE; TRANSIT; QUALITY; ATTRIBUTES; PARKING;
D O I
10.1016/j.retrec.2025.101519
中图分类号
F [经济];
学科分类号
02 ;
摘要
University campuses represent important transport attraction poles in cities due to the large number of students, faculty and administrative staff who commute to the campus daily. The campus location can significantly increase traffic around the area, especially during the class entry and exit times. Therefore, public transport systems are essential to facilitate access to the university campus worldwide, especially for students. This study aims to evaluate the level of importance and satisfaction with factors that affect public transport use among university students. In this context, a best-worst scaling experimental design is used to carry out an important performance analysis (IPA) of public transport services to university campuses in Gran Canaria by estimating a Mixed Logit model. Thus, it will be possible to determine what attributes should be prioritised when implementing policies for improving these services. The results showed that public transport managers and university authorities should primarily focus on providing direct services and improving punctuality and bus frequency. Our results also provide valuable insights into the search for the best policies that match students' transport mobility preferences with the service provision.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] 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
  • [32] Consumers' preferences for the attributes of plant-based meat in China: A best-worst scaling approach
    Wu, Wenchao
    Yuan, Rao
    Wang, Qianyan
    Jin, Shaosheng
    FUTURE FOODS, 2024, 9
  • [33] Understanding the relative valuation of research impact: a best-worst scaling experiment of the general public and biomedical and health researchers
    Pollitt, Alexandra
    Potoglou, Dimitris
    Patil, Sunil
    Burge, Peter
    Guthrie, Susan
    King, Suzanne
    Wooding, Steven
    Grant, Jonathan
    BMJ OPEN, 2016, 6 (08):
  • [34] 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
  • [35] Eliciting citizens' priorities for active travel infrastructure investments: A qualitative analysis of best-worst scaling experiments
    Albahlal, Fahad
    Haggar, Paul
    Potoglou, Dimitris
    JOURNAL OF TRANSPORT & HEALTH, 2024, 36
  • [36] Caregiver Preferences for Emerging Duchenne Muscular Dystrophy Treatments: A Comparison of Best-Worst Scaling and Conjoint Analysis
    Hollin, Ilene L.
    Peay, Holly L.
    Bridges, John F. P.
    PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 2015, 8 (01): : 19 - 27
  • [37] Caregiver Preferences for Emerging Duchenne Muscular Dystrophy Treatments: A Comparison of Best-Worst Scaling and Conjoint Analysis
    Ilene L. Hollin
    Holly L. Peay
    John F. P. Bridges
    The Patient - Patient-Centered Outcomes Research, 2015, 8 : 19 - 27
  • [38] Best-worst scaling analysis of priorities for participation in gene therapy clinical trials for Duchenne muscular dystrophy
    McNiff, M.
    Heslop, E.
    Denger, B.
    Hill, C.
    Cope, H.
    Camino, E.
    Johnson, A.
    Fischer, R.
    Peay, H.
    NEUROMUSCULAR DISORDERS, 2023, 33 : S173 - S173
  • [39] Public Preference for Off-Label Use of Drugs for Cancer Treatment and Relative Importance of Associated Adverse Events: A Discrete Choice Experiment and Best-Worst Scaling
    Wang, Kailu
    Shum, Ho-Man
    Yam, Carrie Ho-Kwan
    Wu, Yushan
    Wong, Eliza Lai-Yi
    Yeoh, Eng-Kiong
    APPLIED HEALTH ECONOMICS AND HEALTH POLICY, 2024, 22 (06) : 849 - 860
  • [40] A weighting model based on best-worst method and its application for environmental performance evaluation
    Liu, Peide
    Zhu, Baoying
    Wang, Peng
    APPLIED SOFT COMPUTING, 2021, 103