Identifying critical factors affecting passenger satisfaction in inland water transit integrating Best Worst Method and Ordered Probit Model

IF 6.3 2区 工程技术 Q1 ECONOMICS
B Anish Kini , Darshana Othayoth , T.V. Rameesha
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引用次数: 0

Abstract

Passenger satisfaction is paramount in realizing the required ridership in any public transit mode, more so in water transit. This study provides a methodological framework that employs the Best Worst Method (BWM) – an extensively used MCDM technique based on pairwise comparisons for weighting various criteria - to determine the global importance weights of influencing factors and marginal effects from Ordered Probit Model (OPM) to determine the critical influencing factors that need immediate attention. An extensive passenger perception survey was carried out, and a total of 408 valid responses were obtained, providing perceptions regarding importance-satisfaction and BWM-based importance weights for influencing factors. A novel importance satisfaction (IS) index – integrating BWM weighted importance with the satisfaction rating (IBWMS) – is proposed and compared with the conventional IS rating. The comparative analysis has shown that the new IS index brings to the fore critical influencing factors much better than the conventional IS rating. The novel IS index provides a global relationship that enables comparison between water transit services or routes, given that the influencing factors are similar. Using marginal effects from OPM and the importance weights from BWM, the identification of critical influencing factors – frequency, waiting time at the terminal, jetty platform protection, service reliability, service information at terminal and cleanliness - of an Inland Water Transport service has been demonstrated. These critical factors assist policymakers, practitioners, and operators in taking up interventions for improving passenger satisfaction, which is likely to positively influence patronage.
利用最优最差法和有序概率模型识别影响内河客运满意度的关键因素
在任何公共交通方式中,乘客满意度对于实现所需的客流量至关重要,在水上交通中更是如此。本研究提供了一个方法学框架,该框架采用最佳最差法(BWM)——一种广泛使用的基于两两比较加权各种标准的MCDM技术——来确定有序概率模型(OPM)的影响因素和边际效应的全局重要性权重,以确定需要立即关注的关键影响因素。我们开展了一项广泛的乘客感知调查,共获得了408份有效回复,提供了对影响因素的重要性满意度和基于bwm的重要性权重的感知。提出了一种新的重要性满意度指数——将BWM加权重要性与满意度评级(IBWMS)相结合,并与传统的重要性满意度评级进行了比较。对比分析表明,新IS指数比传统IS评级更能突出关键影响因素。考虑到影响因素相似,新的IS指数提供了一种全球关系,可以对水运服务或路线进行比较。利用OPM的边际效应和BWM的重要性权重,论证了内河运输服务的关键影响因素——频率、码头等待时间、码头平台保护、服务可靠性、码头服务信息和清洁度——的识别。这些关键因素有助于政策制定者、从业者和运营商采取干预措施,提高乘客满意度,这可能会对乘客的惠顾产生积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
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