A New Combined Model for Assessing the Perceived Accessibility of Public Transport by Consumers in the Megapolis

Emerging Science Journal. 2023. Vol. 7. No. 6. P. 2239–2259.

Anastasia V. Lukina, Roman R. Sidorchuk, Sergey V. Mkhitaryan, Irina I. Skorobogatykh, Zhanna B. Musatova

This research aims to create and test a new combined model to identify causal relationships between the perceived accessibility of the non-rail urban ground public transport (UGPT) route network and consumer experience in megacities. The methods used in the research are based on a combination of two models for assessing the perceived accessibility of UGPT passengers and the frequency of UGPT use. An online survey of 1,500 megapolis residents based on the quota sample was organized. Contingency tables were used to test the hypothesis, with the result reliability at a significance level of 5%, which was checked using the chi-square test. The impact of consumer experience on passengers’ perceived accessibility of the UGPT route network was identified. The relationship between the attributes of transport accessibility and the passengers’ frequency of using UGPT highlights significant differences between the perceived accessibility of transport and the frequency of using UGPT. Practical recommendations were formulated for developing transport accessibility for residents of megacities. The novelty of the research lies in the combined approach, which provides a deep understanding of causal relationships between customer experience (frequency of using UGPT) and the residents’ perceived accessibility of UGPT services. This helps to develop a theoretical model and practical recommendations for the improvement of the public UGPT system and transport services.

Keywords: customer experience, transport accessibility, customer value, consumer perception, Marketing, Ground Public Transport (GPT)