Abstract

Reasonable transportation network layoutsarecritical for optimizing a comprehensive transport system. With the gradual development of a transportation industry from quantitative expansion to structural optimization, and transformation of various transportation modes from independent operation to integrated development, traditional comprehensive transport planning theories and methods have not adapted. In thispaper, a new planning concept is proposed from the perspective of economic equilibrium with theaim ofoptimizing a supply structure for a comprehensive transport passenger transportation corridor. An in-depth analysis was conducted of the internal mechanism of the dynamic equilibrium between supply and demand of this corridor,wherein the maximum of the globaltransportation demand subjectcustomer surplus wastaken as a target function, respective interest functions of a demand subject and a supply subject served as constraints to quantitatively optimize the supply structure of the passenger transportation corridor in comprehensive transport, and a Gradient Descent algorithmwasdesigned. The results show that the proposed model better reflectstheeconomic operation mechanism of a passenger transportation market in a comprehensive transport corridor (CTC), and prove that the supply structure of CTC is closely related to passenger flow, travel value distribution, a supply subject's scale rate of return,and travel time. These research results have important academic values in terms of improving passenger transportation corridor structure optimization in region-specific comprehensive transport that conforms to a market economy mechanism. This concept can be extended from single corridor planning to point-to-point and door-to-door transportation supply structure planning, andto comprehensive transport network planning and urban transportation planning without loss of generality.

Highlights

  • Large transport corridors occupy a dominant position in the overall comprehensive transportation system, and pass through densely populated areas and important industrial belts

  • The corridor system structure is determined after deciding the prior construction of one certain corridor, and on the basis of the status quo adaptability analysis, the composition of the transport mode within the corridor is defined, which is the optimization of the overall comprehensive transportation corridor (CTC) infrastructure, so studying the optimization of a supply structure of the CTC is important for promoting the healthy development of the entire comprehensive transport system

  • The supply structure optimization of a comprehensive transport passenger transportation mode was examined in this work from the perspective of supply and demand economic equilibrium

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Summary

Introduction

Large transport corridors occupy a dominant position in the overall comprehensive transportation system, and pass through densely populated areas and important industrial belts. These research results positively affected the development of a structure planning theory for the CTC mode, but do not reflect the inherent economic mechanism of the CTC supply and demand. Existing studies on structure optimization of a CTC mode suffer from the following limitations: (1) the four-stage traffic demand analysis model involves mathematical analysis and application research of statistical laws, is mainly based on the summary of various transportation mode planning methods for CTC mode planning, mostly adopts inductive methods, and lacks a mechanism for research on the inherent correlation between the whole transportation corridor modes. This paper proposes a new planning concept from the perspective of economics with the aim to optimize a supply structure of a comprehensive transport passenger corridor based on economic equilibrium. An economically sustainable transportation supply model and its constraint parameters are established

Proposed Models
Modeling Ideas and Assumptions
Mathematical Formulation
Illustrative Examples
Short-Distance Corridor Mode Structure Configuration Simulation
Impact of Passenger Flow
Influence of Equilibrium Rate of Return
Effect of Travel Value Distribution
Findings
Conclusions
Full Text
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