Measurement and Optimization of Metro Network Service Efficacy

The high efficacy of metro network services not only enhances residents' travel quality but also brings significant socio-economic benefits, thus is of great importance to urban land use and city development. Existing methods for measuring metro service efficacy often overlook metro network connectivity and rely heavily on subjective questionnaire data analysis from the user experience perspective. This paper proposes a method to measure metro network service efficacy from the user's perspective. The approach first calculates the connectivity index of metro network and estimates the housing premium brought by metro network connectivity, which reveals users' willingness to pay for metro network connectivity. This method objectively measures metro network service efficacy from the user's perspective. Based on this, efficacy optimization methods are proposed, providing quantitative simulation methods for metro expansion, site selection, operation quality adjustments, etc., which are of great reference value to metro management departments and even urban sustainable development.

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Publication Details

Journal
International Journal of Crowd Science
Published
2024-08-01
DOI
https://doi.org/10.26599/ijcs.2024.9100015
Citations
1
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
1.96

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article

Measurement and Optimization of Metro Network Service Efficacy

Yong Tu, Yang Zhao, Leiju Qiu, Xiao Sun
1 citations
International Journal of Crowd Science
Advanced Computing and Algorithms
1.96
article

Measurement and Optimization of Metro Network Service Efficacy

Yong Tu, Yang Zhao, Leiju Qiu, Xiao Sun
article en
1 citations

Abstract

The high efficacy of metro network services not only enhances residents' travel quality but also brings significant socio-economic benefits, thus is of great importance to urban land use and city development. Existing methods for measuring metro service efficacy often overlook metro network connectivity and rely heavily on subjective questionnaire data analysis from the user experience perspective. This paper proposes a method to measure metro network service efficacy from the user's perspective. The approach first calculates the connectivity index of metro network and estimates the housing premium brought by metro network connectivity, which reveals users' willingness to pay for metro network connectivity. This method objectively measures metro network service efficacy from the user's perspective. Based on this, efficacy optimization methods are proposed, providing quantitative simulation methods for metro expansion, site selection, operation quality adjustments, etc., which are of great reference value to metro management departments and even urban sustainable development.

International Journal of Crowd ScienceVol. 8(3)
Central University of Finance and Economics (CN), National University of Singapore (SG), Tsinghua University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 13%
Advanced Computing and Algorithms
1.96
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