Abstract

In an urban public transport system, mass rapid transit (MRT) stations play an important role in the concentration and deconcentration of passengers. Spatial conflicts and unclear routes may lead to crowding in MRT stations and reduce their operational efficiency. For this reason, this study proposes a space service quality evaluation method based on agent-based simulation by employing spatial information from building information modeling (BIM) systems as boundary constraints. Moreover, passengers and trains are simulated as interacting agents with complex behaviors in a limited space. This method comprehensively assesses congestion, noise, and air quality to determine service quality in different spaces. Moreover, the results are visualized in different ways for decision making about space planning. Finally, this research demonstrates and verifies the functions of the proposed system with an actual MRT station. Such simulation results can be used as a reference for management personnel to adjust space/route plans to increase passenger satisfaction environment quality, and operational efficiency in the operation stage of an MRT station. The evaluation method establishes valid and reliable measures of service performance and passenger satisfaction as well as other performance outcomes.

Highlights

  • Mass rapid transit (MRT) stations play an important role in hosting and distributing passengers through an urban transport system

  • In addition to the space in the infrastructure, time and user experience are additional factors to consider in space and route planning to improve the overall levels of service quality and passenger satisfaction

  • Wang et al [5] used a questionnaire survey to understand the overall level of satisfaction with the interior environment of a flight terminal, and the outcomes can be used to assist in the future design and planning of airports and their operations

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Summary

Introduction

Mass rapid transit (MRT) stations play an important role in hosting and distributing passengers through an urban transport system. To enhance space planning and the degree of user satisfaction with station services, Li et al [4] employed a scientific method to assess a building’s space performance while emphasizing its influence on environmental quality and passenger satisfaction They developed an evaluation tool to continuously monitor the overall sustainable performance in the operation stage. BIM models consist of comprehensive engineering attributes and spatial information In view of these merits, in this study, BIM and ABM are applied to the evaluation of space service quality for providing dynamic visualization of the interactions between passengers and space. The results can assist planning personnel in adjusting current spatial designs and provide feedback for the planning of station space and routes and in the analysis of alternative options at the design stage This method can reduce labor and other financial costs associated with making changes in the design to improve passenger satisfaction levels

Evaluation Method for Space Service Quality
Simulation Results
Modeling for Congestion
Modeling for Air Quality
SSppaaccee
Simulation Results Congestion Noise Air Quality
30.2 Stair2
Conclusions
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