Smartphone based Public Transport Guidance: An Investigation of Potential Benefits

Tao Liu; Yu Jiang; Avishai Ceder; Rachel Gasson; Lorraine Cheyne

doi:10.1109/ITSC.2019.8916848

Smartphone based Public Transport Guidance: An Investigation of Potential Benefits

Tao Liu^*
, Yu Jiang
, Avishai Ceder
, Rachel Gasson
, Lorraine Cheyne

^*Corresponding author for this work

Department of Technology, Management and Economics

Southwest Jiaotong University
The University of Auckland
NZ Transport Agency

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

With the rapid development of smartphone applications, real-time and readily available journey planning information is becoming an integral part of a public transport (PT) system. Smartphones and other mobile devices are information sources capable of contributing to “big-data”, and while each traveler has specific preference when undertaking a trip. The objective of this study is to look at how readily available smartphone-based information containing elements that might influence the decisions of which trip to select, can be personalized. The potential effect of personalized data availability for PT users has been investigated by considering five key weighted factors: waiting time, travel time, fare cost,
walking time, and number of transfers. The methodology is based on finding the K-shortest path for travelers where the value of each link comprises the cost of the five weighted factors based on users’ preferences. By incorporating weighted factors, users may lean toward the 2nd, or 3rd, etc., shortest path. A case study was conducted to look at five parallel PT routes with different journey attributes in the city center of Auckland, New Zealand. The results show that the satisfaction of the users improves as they achieve their desired trip under optimized conditions based on their preferences.

Original language	English
Title of host publication	Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference
Publisher	IEEE
Publication date	2019
Pages	245-250
ISBN (Electronic)	978-1-5386-7024-8
DOIs	https://doi.org/10.1109/ITSC.2019.8916848
Publication status	Published - 2019
Event	22nd International IEEE Conference on Intelligent Transportation Systems - Conference Venue Cordis Hotel, Auckland, New Zealand Duration: 27 Oct 2019 → 30 Oct 2019 Conference number: 22 https://ieeexplore.ieee.org/xpl/conhome/8907344/proceeding

Conference

Conference	22nd International IEEE Conference on Intelligent Transportation Systems
Number	22
Location	Conference Venue Cordis Hotel
Country/Territory	New Zealand
City	Auckland
Period	27/10/2019 → 30/10/2019
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8907344/proceeding

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1109/ITSC.2019.8916848

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@inproceedings{3248d2a027a04939944f0683ab481d00,

title = "Smartphone based Public Transport Guidance: An Investigation of Potential Benefits",

abstract = "With the rapid development of smartphone applications, real-time and readily available journey planning information is becoming an integral part of a public transport (PT) system. Smartphones and other mobile devices are information sources capable of contributing to “big-data”, and while each traveler has specific preference when undertaking a trip. The objective of this study is to look at how readily available smartphone-based information containing elements that might influence the decisions of which trip to select, can be personalized. The potential effect of personalized data availability for PT users has been investigated by considering five key weighted factors: waiting time, travel time, fare cost, walking time, and number of transfers. The methodology is based on finding the K-shortest path for travelers where the value of each link comprises the cost of the five weighted factors based on users{\textquoteright} preferences. By incorporating weighted factors, users may lean toward the 2nd, or 3rd, etc., shortest path. A case study was conducted to look at five parallel PT routes with different journey attributes in the city center of Auckland, New Zealand. The results show that the satisfaction of the users improves as they achieve their desired trip under optimized conditions based on their preferences.",

author = "Tao Liu and Yu Jiang and Avishai Ceder and Rachel Gasson and Lorraine Cheyne",

year = "2019",

doi = "10.1109/ITSC.2019.8916848",

language = "English",

pages = "245--250",

booktitle = "Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference",

publisher = "IEEE",

address = "United States",

note = "22nd International IEEE Conference on Intelligent Transportation Systems , ITSC 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

url = "https://ieeexplore.ieee.org/xpl/conhome/8907344/proceeding",

}

Liu, T, Jiang, Y, Ceder, A, Gasson, R & Cheyne, L 2019, Smartphone based Public Transport Guidance: An Investigation of Potential Benefits. in Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference . IEEE, pp. 245-250, 22nd International IEEE Conference on Intelligent Transportation Systems , Auckland, New Zealand, 27/10/2019. https://doi.org/10.1109/ITSC.2019.8916848

TY - GEN

T1 - Smartphone based Public Transport Guidance: An Investigation of Potential Benefits

AU - Liu, Tao

AU - Jiang, Yu

AU - Ceder, Avishai

AU - Gasson, Rachel

AU - Cheyne, Lorraine

N1 - Conference code: 22

PY - 2019

Y1 - 2019

N2 - With the rapid development of smartphone applications, real-time and readily available journey planning information is becoming an integral part of a public transport (PT) system. Smartphones and other mobile devices are information sources capable of contributing to “big-data”, and while each traveler has specific preference when undertaking a trip. The objective of this study is to look at how readily available smartphone-based information containing elements that might influence the decisions of which trip to select, can be personalized. The potential effect of personalized data availability for PT users has been investigated by considering five key weighted factors: waiting time, travel time, fare cost, walking time, and number of transfers. The methodology is based on finding the K-shortest path for travelers where the value of each link comprises the cost of the five weighted factors based on users’ preferences. By incorporating weighted factors, users may lean toward the 2nd, or 3rd, etc., shortest path. A case study was conducted to look at five parallel PT routes with different journey attributes in the city center of Auckland, New Zealand. The results show that the satisfaction of the users improves as they achieve their desired trip under optimized conditions based on their preferences.

AB - With the rapid development of smartphone applications, real-time and readily available journey planning information is becoming an integral part of a public transport (PT) system. Smartphones and other mobile devices are information sources capable of contributing to “big-data”, and while each traveler has specific preference when undertaking a trip. The objective of this study is to look at how readily available smartphone-based information containing elements that might influence the decisions of which trip to select, can be personalized. The potential effect of personalized data availability for PT users has been investigated by considering five key weighted factors: waiting time, travel time, fare cost, walking time, and number of transfers. The methodology is based on finding the K-shortest path for travelers where the value of each link comprises the cost of the five weighted factors based on users’ preferences. By incorporating weighted factors, users may lean toward the 2nd, or 3rd, etc., shortest path. A case study was conducted to look at five parallel PT routes with different journey attributes in the city center of Auckland, New Zealand. The results show that the satisfaction of the users improves as they achieve their desired trip under optimized conditions based on their preferences.

U2 - 10.1109/ITSC.2019.8916848

DO - 10.1109/ITSC.2019.8916848

M3 - Article in proceedings

SP - 245

EP - 250

BT - Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference

PB - IEEE

T2 - 22nd International IEEE Conference on Intelligent Transportation Systems

Y2 - 27 October 2019 through 30 October 2019

ER -

Smartphone based Public Transport Guidance: An Investigation of Potential Benefits

Abstract

Conference

UN SDGs

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