Developing an Indicator System for Measuring Taiwan's Transport Sustainability

Shiau, Tzay‐An; Min-wei, Huang; Lin, Wen-Ya

doi:10.1080/15568318.2012.738775

Cited by 38 publications

(27 citation statements)

References 27 publications

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“…One type of indicator dependency exists in performance measurement; this problem can be easily solved using principal component analysis (PCA). For example, Shiau et al [29] proposed a two-stage PCA to measure the transport sustainability of Taiwan. Certain indicators are significantly interrelated (e.g., fossil fuel consumption by transport systems is strongly associated with transport air pollutant emissions).…”

Section: Indicator Integrationmentioning

confidence: 99%

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Shiau

Lee

2017

Sustainability

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This paper proposes an indicator integration model to measure network-based public transit performance. Coverage, directness, and connectivity indicators were used to measure network-based public transit performances individually. The three indicators exist preferential dependence problem in eliciting indicator weights. The value judgments by 40 representatives were collected by using fuzzy measures. Subsequently, fuzzy integrals were applied to integrate the three indicators considering their preferential dependence. The major contributions are twofold: one contribution is providing a comprehensive performance measurement for multimodal transit networks and the other is resolving preferential dependence between the three indicators. A case study of Taipei City was also discussed to demonstrate the application of the integration model. Five major results were derived from the study: (1) according to the decision group preferences, coverage was preferred to directness, and directness was preferred to connectivity; (2) the districts of Taipei City in the central business district (CBD) generally feature high transit coverage compared with the districts in the surrounding areas; (3) the districts in the surrounding areas generally exhibit high transit connectivity compared with the districts in the CBD; (4) the 12 districts of Taipei City do not differ substantially in transit directness performance; and (5) most of the districts of Taipei City in the CBD exhibit relatively better comprehensive transit performance than the districts in the surrounding areas.

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Section: Indicator Integrationmentioning

confidence: 99%

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Shiau

Lee

2017

Sustainability

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“…RST was applied to induce eight decision rules regarding age-friendly transportation [16]. Key transport sustainability indicators were selected using RST [17].…”

Section: Rough Set Theory (Rst)mentioning

confidence: 99%

“…The framework can be related to efficiency and equity considerations [32]. Another framework based on generalized efficiency and social equity was applied to assess transport sustainability [17]. Social aspect is our focus in developing social sustainability indicators.…”

Section: Social Construction Of Social Sustainability Indicatorsmentioning

confidence: 99%

“…Evaluated by the public of the local community [11,12,34] On the basis of these 35 initial social sustainability indicators, RST was used to select key indicators by referring to the application of transport sustainability indicators [17]. Condition attributes were defined as significance, causality, and measurability.…”

Section: Human Resourcesmentioning

confidence: 99%

“…Greco et al developed an application of RST for solving multiple criteria decision problems [18]. An extension procedure was applied to select key transport sustainability indicators [17].…”

Section: Rough Set Theory (Rst)mentioning

confidence: 99%

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Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms

Shiau

Chuen-Yu

2016

Sustainability

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Taiwan's government has promoted investment in an offshore wind power farm, and local fishermen have protested. A social impact assessment (SIA) has examined the impact of the proposed offshore wind power farm on all stakeholders. The main objective of the present study was to develop an indicator system for measuring the social sustainability of offshore wind power farms; this study also reports on the particular case of Taiwan's offshore wind power project. This study began by defining 35 social sustainability indicators and selecting 23 representative indicators by using rough set theory. Subsequently, 14 key indicators were constructed using the social construction of technology (SCOT) method. Finally, we developed a social impact index for evaluating the social sustainability of offshore wind power farms by using the analytic network process and Dempster-Shafer theory. Our social impact index yields a total score of 0.149 for Taiwan's pilot offshore wind power project; this result indicates that the pilot project is socially sustainable. A substantial contradiction exists between the fishermen's protest and the results of the social impact assessment. The findings can assist the government in building a coordination platform for the investors and the fishermen. Government regulation is necessary to set boundaries for fishing areas that protect both the fishermen's and investors' rights.

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Sustainable Transport Indicators and Mitigation Actions Applied to the Green Bond Principles

Assis

Ricci

Monteiro

et al. 2022

Carbon Footprints of Manufacturing and Transportation Industries

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Developing an Indicator System for Measuring Taiwan's Transport Sustainability

Cited by 38 publications

References 27 publications

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Developing an Indicator System for Measuring the Social Sustainability of Offshore Wind Power Farms

Sustainable Transport Indicators and Mitigation Actions Applied to the Green Bond Principles

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