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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 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).
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).
| Translated title of the contribution | Effekter på väntetider i kollektivtrafiken från användning av information och planeringsstrategier innan avresa: Empirisk analys av mobilappsbaserad undersökning |
|---|---|
| Original language | English |
| Number of pages | 29 |
| Journal | Public Transport |
| Issue number | Special Issue CASPT |
| Early online date | 2019 Nov 25 |
| Publication status | E-pub ahead of print - 2019 Nov 25 |
Subject classification (UKÄ)
- Engineering and Technology
- Transport Systems and Logistics
Free keywords
- Waiting times
- Planning strategies
- Public transport
- Travel information
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Dive into the research topics of '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'. Together they form a unique fingerprint.Research output
- 1 Doctoral Thesis (compilation)
-
Passengers’ choices in multimodal public transport systems: A study of revealed behaviour and measurement methods
Berggren, U., 2021 Oct 26, Lund: Department of Technology and Society, Lund University. 159 p.Research output: Thesis › Doctoral Thesis (compilation)
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