Evaluation of innovative ideas for Public Transport proposed by citizens using Multi-Criteria Decision Analysis (MCDA)

被引:48
|
作者
Nalmpantis, Dimitrios [1 ]
Roukouni, Anastasia [1 ,2 ]
Genitsaris, Evangelos [1 ]
Stamelou, Afroditi [1 ,3 ]
Naniopoulos, Aristotelis [1 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Civil Engn, Fac Engn, POB 452, Thessaloniki 54124, Greece
[2] Delft Univ Technol, Dept Multiactor Syst, Fac Technol Policy & Management, Jaffalaan 5, NL-2628 BX Delft, Netherlands
[3] Hellen Inst Transport, Ctr Res & Technol Hellas, 6th Km Charilaou Thermi Rd, Thessaloniki 57001, Greece
基金
欧盟地平线“2020”;
关键词
Public transport; Innovation; Evaluation; Co-creation; Collective intelligence; Multi-Criteria Decision Analysis (MCDA); Participatory techniques; Analytic Hierarchy Process (AHP); MAKING TECHNIQUES; CO-CREATION; KNOWLEDGE; SYSTEMS; SERVICE; URBAN;
D O I
10.1186/s12544-019-0356-6
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Introduction: The use of participatory techniques in the field of transport is coming to the forefront recently. In this frame, eight co-creation workshops and five online crowdsourcing campaigns took place in Thessaloniki, Southern Tuscany, Rotterdam/The Hague, and Frankfurt, from which many innovative ideas to enhance Public Transport were generated by citizens. Purpose: A simple list of innovations would not be very useful for Public Transport Operators, as they cannot implement all of them at once. There was an obvious need for their ranking and this is the purpose of this paper. Methods: The ranking was realized with the most used Multi-Criteria Decision Analysis method in transportation research, i.e. the Analytic Hierarchy Process, using three criteria: Feasibility, Utility, and Innovativeness. An online questionnaire was distributed to experts, using a modified snowball sampling technique, which yielded 97 completed questionnaires. Results: Utility (42.90%) was found to be the most important criterion, followed by Feasibility (40.10%), and Innovativeness (17.00%). Four lists of innovations were derived, ranked with respect to a) all three examined criteria, b) Feasibility, c) Utility, and d) Innovativeness. The highest ranked innovation for a) and c) was found to be Mobility as a Service and platform with real-time travel, comfort, and multi-modal information; for b) City marketing from a Public Transport perspective; and for d) Advanced e-ticketing system. Conclusion: The results revealed which of the innovations are the most promising and provide valuable insight into how to integrate innovation with Public Transport to make it more attractive. Public Transport Operators may use the results according to the peculiarities of their city and the importance they give to Feasibility, Utility, and Innovativeness.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Evaluation of innovative ideas for Public Transport proposed by citizens using Multi-Criteria Decision Analysis (MCDA)
    Dimitrios Nalmpantis
    Anastasia Roukouni
    Evangelos Genitsaris
    Afroditi Stamelou
    Aristotelis Naniopoulos
    [J]. European Transport Research Review, 2019, 11
  • [2] Multi-criteria decision analysis (MCDA): testing a proposed MCDA framework for orphan drugs
    C. Schey
    P. F. M. Krabbe
    M. J. Postma
    M. P. Connolly
    [J]. Orphanet Journal of Rare Diseases, 12
  • [3] Multi-criteria decision analysis (MCDA): testing a proposed MCDA framework for orphan drugs
    Schey, C.
    Krabbe, P. F. M.
    Postma, M. J.
    Connolly, M. P.
    [J]. ORPHANET JOURNAL OF RARE DISEASES, 2017, 12
  • [4] MULTI-CRITERIA DECISION ANALYSIS (MCDA): TESTING A PROPOSED MCDA MODEL FOR ORPHAN DRUGS
    Schey, C.
    Connolly, M.
    [J]. VALUE IN HEALTH, 2014, 17 (07) : A556 - A556
  • [5] Evaluation of Sourcing Decision for Hydrogen Supply Chain Using an Integrated Multi-Criteria Decision Analysis (MCDA) Tool
    Ransikarbum, Kasin
    Chanthakhot, Wattana
    Glimm, Tony
    Janmontree, Jettarat
    [J]. RESOURCES-BASEL, 2023, 12 (04):
  • [6] Multi-criteria decision analysis (MCDA) in health care: A bibliometric analysis
    Diaby, Vakaramoko
    Campbell, Kaitryn
    Goeree, Ron
    [J]. OPERATIONS RESEARCH FOR HEALTH CARE, 2013, 2 (1-2) : 20 - 24
  • [7] MCDA Calculator: A Streamlined Decision Support System for Multi-criteria Decision Analysis
    Huang, He
    Burgherr, Peter
    [J]. DECISION SUPPORT SYSTEMS XIV: HUMAN-CENTRIC GROUP DECISION, NEGOTIATION AND DECISION SUPPORT SYSTEMS FOR SOCIETAL TRANSITIONS, ICDSST 2024, 2024, 506 : 31 - 45
  • [8] Using Multi-Criteria Decision Analysis (mcda) To Understand Patient Preferences For COPD Treatment
    Wilcox, T. K.
    Marsh, K.
    Zaiser, E.
    Orfanos, P.
    Salverda, S.
    Sun, S. X.
    Dixit, S.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2015, 191
  • [9] Multi-Criteria Decision Analysis (MCDA) in Forest Operations - an Introductional Review
    Blagojevic, Bosko
    Jonsson, Rikard
    Bjorheden, Rolf
    Nordstrom, Eva-Maria
    Lindroos, Ola
    [J]. CROATIAN JOURNAL OF FOREST ENGINEERING, 2019, 40 (01) : 191 - 205
  • [10] Multi-criteria evaluation of public transport interchanges
    Bryniarska, Zofia
    Zakowska, Lidia
    [J]. 3RD CONFERENCE ON SUSTAINABLE URBAN MOBILITY (3RD CSUM 2016), 2017, 24 : 25 - 32