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...
Hoofdauteurs: | , , |
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Formaat: | Artikel |
Taal: | English |
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Public Library of Science (PLoS)
2018-01-01
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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. |
first_indexed | 2024-12-13T02:11:26Z |
format | Article |
id | doaj.art-3a901b4879674ffdbb32e4d3f03f2033 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-13T02:11:26Z |
publishDate | 2018-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
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 |
work_keys_str_mv | AT cuiyingsong potentialtravelcostsavinginurbanpublictransportnetworksusingsmartphoneguidance AT weiguan potentialtravelcostsavinginurbanpublictransportnetworksusingsmartphoneguidance AT jihuima potentialtravelcostsavinginurbanpublictransportnetworksusingsmartphoneguidance |