Analyzing the sustainability performance of public transit

被引:60
|
作者
Miller, Patrick [1 ]
de Barros, Alexandre G. [1 ]
Kattan, Lina [1 ]
Wirasinghe, S. C. [1 ]
机构
[1] Univ Calgary, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Public transit sustainability analysis; Transit; Composite sustainability index; Quadruple bottom line approach; Normalization; Monte Carlo analysis; Sustainability assessment tool; Decision support tool;
D O I
10.1016/j.trd.2016.02.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years there have been many advances in understanding how transportation can promote or detract from sustainability. The role of public transit has been established as a critical element in promoting sustainable and vibrant cities. While decision making tools, such as composite indices, have been developed to understand overall urban and transportation sustainability, few tools exist to directly analyze public transit systems based on sustainability criteria. This paper introduces the Public Transit Sustainable Mobility Analysis Tool (PTSMAT) framework, which uses composite sustainability index techniques along with research into transport sustainability to propose a new transit analysis tool that can be used in both planning/decision making and research contexts. First, this paper reviews definitions of sustainability and sustainable transport, and sustainability analysis tools and relates them back to a legible analytic framework for public transit systems. Next, the PTMSAT framework is introduced along with a description of its data collection, data analysis, and index calculation processes. The application of PTSMAT to decision making and research scenarios is also outlined. A summary of relevant indicators for public transits sustainability and integrates them into the PTSMAT framework using a quadruple bottom line approach. Next, a case study of the framework's application is provided for the UBC Corridor study in Vancouver, Canada. This case study demonstrates how the tool may be used to inform decision making and planning efforts. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:177 / 198
页数:22
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