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Effects from usage of pre‑trip information and passenger scheduling strategies on waiting times in public transport: An empirical survey based on a dedicated smartphone application

Berggren, Ulrik LU ; Svensson, Helena LU ; Wretstrand, Anders LU orcid and Brundell-Freij, Karin LU (2019) In Public Transport
Abstract
Waiting times are important indicators of the degree of travel time optimisation and
other behavioural traits among public transport (PT) passengers. As previous studies
have shown, the level and usage of pre-trip information regarding schedule or realtime departures are important factors that infuence the potential to realise travel
time savings by enabling PT passengers to optimise waiting times. Most empirical
evidence regarding the revealed PT travel behaviour concerning information levels
is based on manual interviews or traditional travel surveys, in which there is a risk
that the actual context of where and when the choice of departure time was made
is not taken into account. This paper reports the... (More)
Waiting times are important indicators of the degree of travel time optimisation and
other behavioural traits among public transport (PT) passengers. As previous studies
have shown, the level and usage of pre-trip information regarding schedule or realtime departures are important factors that infuence the potential to realise travel
time savings by enabling PT passengers to optimise waiting times. Most empirical
evidence regarding the revealed PT travel behaviour concerning information levels
is based on manual interviews or traditional travel surveys, in which there is a risk
that the actual context of where and when the choice of departure time was made
is not taken into account. This paper reports the results of a travel survey based on
a dedicated smartphone application applied in a feld study in a Swedish mid-size
urban and regional context. Context-aware notifcation prompting was used to allow
respondents to state their use of pre-trip information as well as whether they had
pre-planned their trip and how contingent planning aids were used for time optimisation. The implications on passenger waiting times of the use of information
regarding departure times by passengers were emphasised during analyses of the
resulting data, along with personal characteristics, in which auxiliary sources such
as timetable data and Automatic Vehicle Location were utilised to determine ground
truth trip trajectories and trip-contextual factors. The results indicate the signifcance of having access to pre-trip information, especially for long trips above one
hour’s duration, in order to pre-plan and thereby optimise waiting times. In addition,
the use and source of pre-trip information difer among age and gender groups. Trip
purpose and time of day to some extent determine waiting times and choice of trip
optimisation strategy (arrival or departure time). (Less)
Abstract (Swedish)
Väntetider är viktiga indikatorer för graden av restidsoptimering och andra beteendemässiga aspekter bland kollektivtrafikresenärer. Såsom tidigare studier visar så är användningsgraden av avgångsinformation för avresa är en viktig faktor för att realisera potentialen i restidsminskningar genom att möjliggöra för resenärer att optimera sina väntetider. Huvuddelen av den empiriska forskningen hittills rörande verkligt resenärsbeteende i relation till avgångsinformation har baserats på manuella intervjuer eller pappersenkäter inom ramen för traditionella resvaneundersökningar, där det finns en risk att sammanhanget kring valet av avfärdstid inte beaktas. Föreliggande artikel redovisar resultat och analys baserat på en resvaneundersökning... (More)
Väntetider är viktiga indikatorer för graden av restidsoptimering och andra beteendemässiga aspekter bland kollektivtrafikresenärer. Såsom tidigare studier visar så är användningsgraden av avgångsinformation för avresa är en viktig faktor för att realisera potentialen i restidsminskningar genom att möjliggöra för resenärer att optimera sina väntetider. Huvuddelen av den empiriska forskningen hittills rörande verkligt resenärsbeteende i relation till avgångsinformation har baserats på manuella intervjuer eller pappersenkäter inom ramen för traditionella resvaneundersökningar, där det finns en risk att sammanhanget kring valet av avfärdstid inte beaktas. Föreliggande artikel redovisar resultat och analys baserat på en resvaneundersökning genomförd genom nyttjande av en särskilt applikation i respondenternas egna smarta telefoner, vilken i vilken målpopulationen var regionala och lokala resor i Skåne län. Kontext-beroende notifiering användes efter varje kollektivtrafikresa för att efterfråga respondenternas användning av planeringsverktyg och information inför aktuell resa, liksom hur man använt verktygen för att optimera restiden. Inverkan på väntetider av graden av informationsinhämtning betonades under resultatanalysen, liksom hur respondentens personkarakteristik och attribut hörande till respektive resa, såsom restid och turtäthet, samvarierar. Resultaten av analysen antyder att informationsanvändning påverkar restiden (väntetiden) främst för korta resor, medan förplanering har stört effekt på väntetider vid resor längre än en timme. Användningen av planeringsstrategier och -verktyg, liksom avgångsinformation, skiljer sig signifikant mellan åldersgrupper och mellan kvinnor och män. Dessutom är resans syfte och tid på dygnet avgörande för hur planeringsverktygen används. (Less)
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organization
alternative title
Effekter på väntetider i kollektivtrafiken från användning av information och planeringsstrategier innan avresa: Empirisk analys av mobilappsbaserad undersökning
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Kollektivtrafik, Reseinformation, Väntetider, Planeringsstrategier, Waiting times, Planning strategies, Public transport, Travel information
in
Public Transport
issue
Special Issue CASPT
pages
29 pages
publisher
Springer Nature
external identifiers
  • scopus:85075912941
ISSN
1613-7159
language
English
LU publication?
yes
id
fbba487a-e4af-4c0e-8675-d3e6adcbcf14
date added to LUP
2020-03-05 10:14:30
date last changed
2022-10-31 04:59:16
@article{fbba487a-e4af-4c0e-8675-d3e6adcbcf14,
  abstract     = {{Waiting times are important indicators of the degree of travel time optimisation and<br/>other behavioural traits among public transport (PT) passengers. As previous studies<br/>have shown, the level and usage of pre-trip information regarding schedule or realtime departures are important factors that infuence the potential to realise travel<br/>time savings by enabling PT passengers to optimise waiting times. Most empirical<br/>evidence regarding the revealed PT travel behaviour concerning information levels<br/>is based on manual interviews or traditional travel surveys, in which there is a risk<br/>that the actual context of where and when the choice of departure time was made<br/>is not taken into account. This paper reports the results of a travel survey based on<br/>a dedicated smartphone application applied in a feld study in a Swedish mid-size<br/>urban and regional context. Context-aware notifcation prompting was used to allow<br/>respondents to state their use of pre-trip information as well as whether they had<br/>pre-planned their trip and how contingent planning aids were used for time optimisation. The implications on passenger waiting times of the use of information<br/>regarding departure times by passengers were emphasised during analyses of the<br/>resulting data, along with personal characteristics, in which auxiliary sources such<br/>as timetable data and Automatic Vehicle Location were utilised to determine ground<br/>truth trip trajectories and trip-contextual factors. The results indicate the signifcance of having access to pre-trip information, especially for long trips above one<br/>hour’s duration, in order to pre-plan and thereby optimise waiting times. In addition,<br/>the use and source of pre-trip information difer among age and gender groups. Trip<br/>purpose and time of day to some extent determine waiting times and choice of trip<br/>optimisation strategy (arrival or departure time).}},
  author       = {{Berggren, Ulrik and Svensson, Helena and Wretstrand, Anders and Brundell-Freij, Karin}},
  issn         = {{1613-7159}},
  keywords     = {{Kollektivtrafik; Reseinformation; Väntetider; Planeringsstrategier; Waiting times; Planning strategies; Public transport; Travel information}},
  language     = {{eng}},
  month        = {{11}},
  number       = {{Special Issue CASPT}},
  publisher    = {{Springer Nature}},
  series       = {{Public Transport}},
  title        = {{Effects from usage of pre‑trip information and passenger scheduling strategies on waiting times in public transport: An empirical survey based on a dedicated smartphone application}},
  url          = {{https://lup.lub.lu.se/search/files/76896801/Berggren2019_Article_EffectsFromUsageOfPre_tripInfo.pdf}},
  year         = {{2019}},
}