Potential travel cost saving in urban public-transport networks using smartphone guidance.

Public transport (PT) is a key element in most major cities around the world. With the development of smartphones, available journey planning information is becoming an integral part of the PT system. Each traveler has specific preferences when undertaking a trip, and these preferences can also be r...

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Bibliografische gegevens
Hoofdauteurs: Cuiying Song, Wei Guan, Jihui Ma
Formaat: Artikel
Taal:English
Gepubliceerd in: Public Library of Science (PLoS) 2018-01-01
Reeks:PLoS ONE
Online toegang:http://europepmc.org/articles/PMC5944931?pdf=render
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author Cuiying Song
Wei Guan
Jihui Ma
author_facet Cuiying Song
Wei Guan
Jihui Ma
author_sort Cuiying Song
collection DOAJ
description Public transport (PT) is a key element in most major cities around the world. With the development of smartphones, available journey planning information is becoming an integral part of the PT system. Each traveler has specific preferences when undertaking a trip, and these preferences can also be reflected on the smartphone. This paper considers transit assignment in urban public-transport networks in which the passengers receive smartphone-based information containing elements that might influence the travel decisions in relation to line loads, as well as passenger benefits, and the paper discusses the transition from the current widespread choosing approach to a personalized decision-making approach based on smartphone information. The approach associated with smartphone guidance that considers passengers' preference on travel time, waiting time and transfer is proposed in the process of obtaining his/her preferred route from the potential travel routes generated by the Deep First Search (DFS) method. Two other approaches, based on the scenarios reflecting reality, include passengers with access to no real time information, and passengers that only have access to the arrival time at the platform are used as comparisons. For illustration, the same network proposed by Spiess and Florian is utilized on the experiments in an agent-based model. Two experiments are conducted respectively according to whether each passenger's choosing method is consistent. As expected, the results in the first experiment showed that the travel for consistent passengers with smartphone guidance was clearly shorter and that it can reduce travel time exceeding 15% and weighted cost exceeding 20%, and the average saved time approximated 3.88 minutes per passenger. The second experiment presented that travel cost, as well as cost savings, gradually decreased by employing smartphone guidance, and the maximum cost savings accounted for 14.2% of the total weighted cost.
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spelling doaj.art-3a901b4879674ffdbb32e4d3f03f20332022-12-22T00:02:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01135e019718110.1371/journal.pone.0197181Potential travel cost saving in urban public-transport networks using smartphone guidance.Cuiying SongWei GuanJihui MaPublic transport (PT) is a key element in most major cities around the world. With the development of smartphones, available journey planning information is becoming an integral part of the PT system. Each traveler has specific preferences when undertaking a trip, and these preferences can also be reflected on the smartphone. This paper considers transit assignment in urban public-transport networks in which the passengers receive smartphone-based information containing elements that might influence the travel decisions in relation to line loads, as well as passenger benefits, and the paper discusses the transition from the current widespread choosing approach to a personalized decision-making approach based on smartphone information. The approach associated with smartphone guidance that considers passengers' preference on travel time, waiting time and transfer is proposed in the process of obtaining his/her preferred route from the potential travel routes generated by the Deep First Search (DFS) method. Two other approaches, based on the scenarios reflecting reality, include passengers with access to no real time information, and passengers that only have access to the arrival time at the platform are used as comparisons. For illustration, the same network proposed by Spiess and Florian is utilized on the experiments in an agent-based model. Two experiments are conducted respectively according to whether each passenger's choosing method is consistent. As expected, the results in the first experiment showed that the travel for consistent passengers with smartphone guidance was clearly shorter and that it can reduce travel time exceeding 15% and weighted cost exceeding 20%, and the average saved time approximated 3.88 minutes per passenger. The second experiment presented that travel cost, as well as cost savings, gradually decreased by employing smartphone guidance, and the maximum cost savings accounted for 14.2% of the total weighted cost.http://europepmc.org/articles/PMC5944931?pdf=render
spellingShingle Cuiying Song
Wei Guan
Jihui Ma
Potential travel cost saving in urban public-transport networks using smartphone guidance.
PLoS ONE
title Potential travel cost saving in urban public-transport networks using smartphone guidance.
title_full Potential travel cost saving in urban public-transport networks using smartphone guidance.
title_fullStr Potential travel cost saving in urban public-transport networks using smartphone guidance.
title_full_unstemmed Potential travel cost saving in urban public-transport networks using smartphone guidance.
title_short Potential travel cost saving in urban public-transport networks using smartphone guidance.
title_sort potential travel cost saving in urban public transport networks using smartphone guidance
url http://europepmc.org/articles/PMC5944931?pdf=render
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AT weiguan potentialtravelcostsavinginurbanpublictransportnetworksusingsmartphoneguidance
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