Regional Transportation Investment Structure Optimization Under Economic Distribution Pattern

Abstract

Abstract:

Abstract： To make effective decisions on regional transportation investment structure, considering self-regional and inter-regional induced economic growth that transportation infrastructure generated, a regional transport infrastructure investment structure optimization model was built, by defining maximum economic benefits of regional investment as objective function, coordination evolution of economic distribution pattern as constraints. The model combined CobbDouglas production function, Gravitation field theory and Zipf law, using heuristic algorithm to simulate Chengdu statistics. The results indicate that the model is valid for analyzing the influence of regional transportation investment structure on economic efficiency and distribution pattern. It is proposed that the key to the regional transportation investment structure optimization is the intervention intensity of the government on economic distribution pattern. The conclusion can provide strategic reference for decision making on regional transportation investment structure.

Key words: transportation economy, traffic infrastructure, distribution pattern, investment structure, Cobb-Douglas production function

CLC Number:

U 491

YU Haisong,PU Yun,LIU Haixu,WANG Zhouquan. Regional Transportation Investment Structure Optimization Under Economic Distribution Pattern[J]. Journal of Shanghai Jiaotong University, 2015, 49(04): 450-456.

References

［1］Rephann T. Highway investment and regional development［J］.Urban Studies, 1993,30(2):437450.

［2］王利彬,吴群琪. 运输业投资对经济拉动作用的计算方法［J］. 长安大学学报：自然科学版,2006,26(3):7275.

WANG Libin,WU Qunqi. Contribution measuring method of transportation development to national economy growth［J］. Journal of Chang’an University： Natural Science Edition,2006, 26(3):7275.

［3］Morisugi H. Evaluation methodologies for transport projects in Japan ［J］.Transport Policy, 2000, 7(1): 3540.

［4］孙莹莹,吉达鹏,肖忠斌.交通基础设施对城市规模的影响研究［J］.交通运输系统工程与信息,2013,13(6):2731.

SUN Yingying, JI Dapeng, XIAO Zhongbin. The influence of transport infrastructure on urban size［J］. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(6):2731.

［5］马辉,王建军,付会萍,等.基于公平性的干线公路网布局方法［J］.长安大学学报：自然科学版,2013,33(1):7884.

MA Hui, WANG Jianjun, FU Huiping, et al. Layout method of arterial highway network based on fairness［J］. Journal of Chang’an University：Natural Science Edition,2013, 33(1):7884.

［6］Litman T. Evaluating transportation equity［J］.World Transport Policy & Practice,2002,8(2):5065.

［7］杨朗,石京,陆化普.道路设施项目投资公平性的评价方法［J］.清华大学学报：自然科学版,2005,45(9):11621165.

YANG Lang, SHI Jing, LU Huapu. Equity evaluation of road projects investment［J］. Journal of Tsinghua University： Science &Technology,2005, 45(9):11621165.

［8］Caminal R. Personal redistribution and the regional allocation of public investment［J］. Regional Science and Urban Economics, 2004, 34(1):5569.

［9］王选仓,于江霞,王秉刚.基于需求函数模型的公路网规模预测［J］.长安大学学报：自然科学版,2006,26(3):5962.

WANG Xuancang, YU Jiangxia, WANG Binggang. Reasonable highway network scale prediction based on demand function［J］. Journal of Chang’an University：Natural Science Edition,2006, 26(3):5962.

［10］孙强,王庆云,高咏玲.交通基础设施投资的地区结构优化模型［J］.北京交通大学学报：社会科学版,2012,11(4):1221.

SUN Qiang,WANG Qingyun,GAO Yongling. An optimized model of regional allocation of transport infrastructure investment［J］. Journal of Beijing Jiaotong University：Social Sciences Edition, 2012,11(4):1221.

［11］梁国华,张景峰,雷剑,等.公路网均衡规模确定方法［J］.交通运输工程学报,2013,13(6):8389.

LIANG Guohua, ZHANG Jingfeng, LEI Jian, et al. Determination method of equilibrium scale for highway network［J］. Journal of Traffic and Transportation Engineering,2013,13(6):8389.

［12］谈明洪,范存会. Zipf维数和城市规模分布的分维值的关系探讨［J］.地理研究,2004,23(2):243248.

TAN Minghong, FAN Cunhui. Relationship between Zipf dimension and fractal dimension of citysize distribution ［J］. Geographical Research,2004,23(2):243248.

［13］Singh S L, Prasad B, Kumar A. Fractals via iterated functions and multifunctions［J］．Chaos, Solitons and Fractals,2009,39(3):12241231.

［14］WoldeRufael Y. Energy consumption and economic growth: The experience of african countries revisited［J］. Energy Economics, 2009, 31(2):217224.

［15］胡宽,常新龙,宋笔锋,等.求解含等式约束优化问题的遗传算法［J］.上海交通大学学报,2011, 45(7):966969.

HU Kuan, CHANG Xinlong, SONG Bifeng,et al. Genetic algorithm to solve optimization problem with equality constrains［J］. Journal of Shanghai Jiaotong University, 2011, 45(7): 966969.

[1]	YANG Zhen,FU Zhuang,GUAN Enguang,XU Jiannan,TIAN Shihe,ZHENG Hui. The Kinematic Analysis and Structure Optimization of MLattice Modular Robot [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1153-1159.
[2]	ZHAO Jun1,YU Haidong2. Dynamic Analysis of TwoLink Flexible Manipulators Based on the Absolute Nodal Coordinate Formulation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1160-1165.
[3]	ZHAO Ziren1,DU Shichang1,HUANG Delin1,REN Fei2,LIANG Xinguang2. Modelling and Bottleneck Analysis of Product Quality in Transient Phase of MultiStage Manufacturing Systems Based on Markovian Chains [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1166-1173.
[4]	HUANG Xuangui. Algorithm for Relatively Small Planted Clique with Small Edge Probability [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1202-1206.
[5]	LUO Jingjinga,YU Haidonga,ZHAO Chunzhanga,b,WANG Haoa,b. Study on Motion Stability of Variable CrossSection Flexible Beams Based on the Absolute Nodal Coordinate Formulation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1174-1180.
[6]	WANG Yibo1,HUANG Yixiang1,LI Bingchu1,LING Xiao1 ZHAO Shuai1,LIU Chengliang1,ZHANG Daqing2. An Improved Modal Simulation Method for Switched Reluctance Motor Based on Static PreComputation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1181-1188.
[7]	ZHOU Binghai,LI Ming. Scheduling Method of Manufacturing Cells with Robot Restricted Processing [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1214-1219.
[8]	CHEN Jinping1,ZHANG Shusheng1,HE Weiping1,WANG Mingwei1,HUANG Hui2. Feasible Change Path Search and Optimization Method Based on Driving Parameter Modeling [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1220-1227.
[9]	ZHOU Penghui,MA Hongzhan,CHEN Dongping,CHEN Mengyue,CHU Xuening. Identification of Product Redesign Modules Based on Fuzzy Random Failure Mode and Effects Analysis [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1189-1195.
[10]	PENG Cheng,ZHU Jianyun,CHEN Li. Mode Transition for a Hybrid Electric Vehicle Based on Model Reference Control [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1196-1201.
[11]	LIU Wei,YANG Chao . A Study on Injection Mould Part Quotation Model Based on Back Propagation Neural Network [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1207-1213.
[12]	CHEN Suting，WANG Zhuo，WANG Qi. Aerial Scene Classification Based on Nonlinear Scale Space [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1228-1234.
[13]	CHEN Ning,HE Xiaobin,GUI Weihua,YANG Chunhua. Research on Image Encryption System Based on Chaotic Discrete Sequence [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1273-1280.
[14]	LIU Kaia，ZHANG Liminb，ZHOU Lijuna. Design of Random Restricted Boltzmann Machine Group [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1235-1240.
[15]	ZHU Xinyao1，SONG Baowei2,XU Gang1,YANG Songlin1. Research on Landing Strategy and Influencing Factors of an Autonomous Underwater Vehicle with Supporting Mechanism [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1241-1251.