Optimization of Passenger Transportation Corridor Mode Supply Structure in Regional Comprehensive Transport Considering Economic Equilibrium

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.

[1]  Piyushimita Thakuriah,et al.  Urban Transportation Planning: A Decision-Oriented Approach , 2001 .

[2]  Haijun Huang,et al.  Modified Evans' algorithms for solving the combined trip distribution and assignment problem , 1992 .

[3]  Hai Yang,et al.  Multiple equilibrium behaviors and advanced traveler information systems with endogenous market penetration , 1998 .

[4]  C. Thrane,et al.  Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model , 2015 .

[5]  Michael Florian,et al.  A Method for Computing Network Equilibrium with Elastic Demands , 1974 .

[6]  M. Florian,et al.  A combined trip distribution modal split and trip assignment model , 1978 .

[7]  L. Bertolini,et al.  The Role of Transport‐Related Models in Urban Planning Practice , 2011 .

[8]  R Kennedy,et al.  INSIDE THE BLACKBOX: MAKING TRANSPORTATION MODELS WORK FOR LIVABLE COMMUNITIES , 1996 .

[9]  Hjp Harry Timmermans,et al.  Transport Models and Urban Planning Practice: Experiences with Albatross , 2011 .

[10]  Chandra Bhat,et al.  Modeling the Commute Activity-Travel Pattern of Workers: Formulation and Empirical Analysis , 2001, Transp. Sci..

[11]  Sang Nguyen,et al.  On the Combined Distribution-Assignment of Traffic , 1975 .

[12]  Marco te Brömmelstroet,et al.  Experiences with transportation models: An international survey of planning practices , 2017 .

[13]  Luca Bertolini,et al.  Urban Transportation Planning in Transition , 2008 .

[14]  Zheng Xiao-jing,et al.  The Transportation Corridor Mode Choice Model Based on the Interaction Mechanism of Transportation Service Level, Operational Efficiency and Resource Consumption , 2016 .

[15]  Nicole Adler,et al.  Competition in a deregulated air transportation market , 2001, Eur. J. Oper. Res..

[16]  K. Martens,et al.  Using principles of justice to assess the modal equity of regional transportation plans , 2014 .

[17]  Ding-Xuan Zhou,et al.  Learning gradients by a gradient descent algorithm , 2008 .

[18]  D.P.J. van der Goot A model to describe the choice of parking places , 1982 .

[19]  Zhao Peng Review of Comprehensive Transportation Corridors Planning , 2010 .

[20]  Susan L Handy,et al.  Regional transportation planning in the US: An examination of changes in technical aspects of the planning process in response to changing goals , 2008 .

[21]  Thomas L. Magnanti,et al.  A Combined Trip Generation, Trip Distribution, Modal Split, and Trip Assignment Model , 1988, Transp. Sci..

[22]  Mar González-Savignat,et al.  Competition in Air Transport , 2004 .

[23]  Anna Nagurney,et al.  A MULTICLASS, MULTICRITERIA TRAFFIC NETWORK EQUILIBRIUM MODEL WITH ELASTIC DEMAND , 2002 .

[24]  Khandker Nurul Habib,et al.  On the factors affecting the choice of regional transit for commuting in Greater Toronto and Hamilton Area: Application of an advanced RP-SP choice model , 2017 .

[25]  Bharat P. Bhatta,et al.  Errors in variables in multinomial choice modeling: A simulation study applied to a multinomial logit model of travel mode choice , 2011 .

[26]  Janić Milan A model of competition between high speed rail and air transport , 1993 .

[27]  Chris Nash,et al.  High-Speed Rail & Air Transport Competition , 2008 .

[28]  Larry J. LeBlanc,et al.  COMBINED MODE SPLIT-ASSIGNMENT AND DISTRIBUTION-MODEL SPLIT-ASSIGNMENT MODELS WITH MULTIPLE GROUPS OF TRAVELERS , 1982 .

[29]  Gao Zi-You Passenger Flow-split Model and Its Algorithm under the Condition of Integrated Transportation System , 2004 .

[30]  Mar González-Savignat,et al.  COMPETITION IN AIR TRANSPORT : THE CASE OF THE HIGH SPEED TRAIN , 2001 .