2007
DOI: 10.1016/j.tra.2006.11.006
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Dynamic at-stop real-time information displays for public transport: effects on customers

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Cited by 159 publications
(123 citation statements)
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“…real-time arrival information can be found in [7,8], while [22] investigated the impact of mobile real-time information.…”
Section: Advanced Traveler Information Systems (Atis) Includementioning
confidence: 99%
“…real-time arrival information can be found in [7,8], while [22] investigated the impact of mobile real-time information.…”
Section: Advanced Traveler Information Systems (Atis) Includementioning
confidence: 99%
“…Kronborg et al (2002) found that although travelers using RTTI still overestimated their wait time (9-13%), those without arrival infor-mation perceived wait time even longer (overestimating 24-30%). Further studies in London and the Netherlands found that providing RTTI reduced the perception of wait time by 26 percent (Schweiger 2003) and 20 percent (Dziekan and Kottenhoff 2007), respectively. While these studies identify a range of overestimation for urban transit riders, none focuses on the unique population of a college campus.…”
Section: Out-of-vehicle Wait Timementioning
confidence: 99%
“…Instead, the benefits were taken from the reduction of passenger anxiety/utility, reducing the uncertainty and thus the utility of the time, while awaiting a bus. Various studies have confirmed that travelers are uneasy waiting for buses and perceive time to be longer than it actually is (Dziekan and Kottenhoff 2007;Schweiger 2003;Nijkamp et al 1996). One study on a college campus was the most applicable to the study site, finding that awaiting passengers perceived their wait time 15 percent higher than it actually was (Mishalani et al 2006).…”
Section: Quantifying Impactsmentioning
confidence: 99%
“…For example, the research findings [8] suggest that real-time information had questionable positive impact on bus ridership and can effectively decrease the perceived waiting times of passengers by 20% [9].…”
Section: Previous Studies On Real-time Information Of Public Transitsmentioning
confidence: 99%