Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network
To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance o...
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doaj-b51c1b03688447459abc17b8bfc3af452021-07-01T00:43:33ZengMDPI AGSustainability2071-10502021-06-01136949694910.3390/su13126949Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport NetworkGang Lin0Shaoli Wang1Conghua Lin2Linshan Bu3Honglei Xu4School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, AustraliaSchool of Architecture and Planning, Fujian University of Technology, Fuzhou 350118, ChinaSchool of Architecture and Planning, Fujian University of Technology, Fuzhou 350118, ChinaSchool of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, AustraliaSchool of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, WA 6845, AustraliaTo mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement.https://www.mdpi.com/2071-1050/13/12/6949PT network performance criteriacriteria selectioncase study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gang Lin Shaoli Wang Conghua Lin Linshan Bu Honglei Xu |
spellingShingle |
Gang Lin Shaoli Wang Conghua Lin Linshan Bu Honglei Xu Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network Sustainability PT network performance criteria criteria selection case study |
author_facet |
Gang Lin Shaoli Wang Conghua Lin Linshan Bu Honglei Xu |
author_sort |
Gang Lin |
title |
Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network |
title_short |
Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network |
title_full |
Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network |
title_fullStr |
Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network |
title_full_unstemmed |
Evaluating Performance of Public Transport Networks by Using Public Transport Criteria Matrix Analytic Hierarchy Process Models—Case Study of Stonnington, Bayswater, and Cockburn Public Transport Network |
title_sort |
evaluating performance of public transport networks by using public transport criteria matrix analytic hierarchy process models—case study of stonnington, bayswater, and cockburn public transport network |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2021-06-01 |
description |
To mitigate car traffic problems, the United Nations Human Settlements Programme (UN-Habitat) issued a document that provides guidelines for sustainable development and the promotion of public transport. The efficiency of the policies and strategies needs to be evaluated to improve the performance of public transportation networks. To assess the performance of a public transport network, it is first necessary to select evaluation criteria. Based on existing indicators, this research proposes a public transport criteria matrix that includes the basic public transport infrastructure level, public transport service level, economic benefit level, and sustainable development level. A public transport criteria matrix AHP model is established to assess the performance of public transport networks. The established model selects appropriate evaluation criteria based on existing performance standards. It is applied to study the Stonnington, Bayswater, and Cockburn public transport network, representing a series of land use and transport policy backgrounds. The local public transport authorities can apply the established transport criteria matrix AHP model to monitor the performance of a public transport network and provide guidance for its improvement. |
topic |
PT network performance criteria criteria selection case study |
url |
https://www.mdpi.com/2071-1050/13/12/6949 |
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