2018
DOI: 10.3846/16484142.2017.1300783
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A Methodological Framework for Measuring the Level of Convenience of Transport Ticketing Systems

Abstract: Abstract. Public transport sustainability is becoming a major driver for public transport development. Public transport ridership represents one of the key performance indicators of sustainability in the sense of balancing the economic, social and environmental aspects of public transport. There are various methods for improving the attractiveness of public transport for passengers by reducing resistances, which discourage potential and existing passengers to use public transport. Transport ticketing is one of… Show more

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Cited by 5 publications
(4 citation statements)
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“…In addition, comfort levels with online ticket buying platform attributes, such as trust, convenience, fraud protection or perceived risk and pricing options (including a willingness to pay additional fees) also influence likelihood of Internet-based sport ticket purchases (Ahn et al, 2014;Bauer et al, 2007;Khazaei Pool et al, 2016;Marquez et al, 2020;Popp et al, 2020;Smith et al, 2012). Similar findings have emerged in nonsport ticket purchase settings, such as in the transportation sector among airline (Bigne et al, 2010;Bukhari et al, 2013;Guritno and Siringoringo, 2013) and train (Cheng and Huang, 2013;Mallat et al, 2009;Zalar et al, 2018;Zhao et al, 2016) passengers. Segmenting the ticket buying public by their familiarity or comfort level with e-commerce technology, however, is difficult for sport marketers to accomplish from a practical standpoint.…”
Section: Literature Reviewmentioning
confidence: 82%
“…In addition, comfort levels with online ticket buying platform attributes, such as trust, convenience, fraud protection or perceived risk and pricing options (including a willingness to pay additional fees) also influence likelihood of Internet-based sport ticket purchases (Ahn et al, 2014;Bauer et al, 2007;Khazaei Pool et al, 2016;Marquez et al, 2020;Popp et al, 2020;Smith et al, 2012). Similar findings have emerged in nonsport ticket purchase settings, such as in the transportation sector among airline (Bigne et al, 2010;Bukhari et al, 2013;Guritno and Siringoringo, 2013) and train (Cheng and Huang, 2013;Mallat et al, 2009;Zalar et al, 2018;Zhao et al, 2016) passengers. Segmenting the ticket buying public by their familiarity or comfort level with e-commerce technology, however, is difficult for sport marketers to accomplish from a practical standpoint.…”
Section: Literature Reviewmentioning
confidence: 82%
“…The overall attractiveness of the software solution is enhanced by the fact that it includes the implementation of innovative features such as Automatic Passenger Counting and Passenger Flow prediction. These two features can encourage passengers to use public passenger transport even during a pandemic [22].…”
Section: Resultsmentioning
confidence: 99%
“…Vertinant el. bilieto sprendinius būtina atsižvelgti į naudotojo (keleivio) perspektyvas (Johnston & Kong, 2011;Zalar et al, 2018). Keleivio patirtį galima išskirstyti į: 1) kelionės planavimas; 2) bilieto įsigijimas; 3) bilieto naudojimas ir 4) lūkesčių atitikimo įvertinimas po kelionės (2 pav.…”
Section: Elektroninio Bilieto Sprendinių įVertinimo Aspektaiunclassified