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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1015-1021

Evaluation model of urban area accessibility based on multivariate data

Shan Xiaochen
Qu Haicheng
Liu Wanjun
School of Software, Liaoning Technical University, Huludao Liaoning 125000, China
DOI: 10.19734/j.issn.1001-3695.2017.10.0980

Abstract

The traditional regional accessibility assessment model generally only supports the single dimension data of GIS or GPS as the basic data for the assessment of accessibility, so it is impossible to avoid the problem of inaccurate assessment of regional accessibility due to the influence of external factors. Aiming at this problem, this paper constructed a city area accessibility evaluation model to support multivariate data using the multidimensional data such as GPS vehicle traffic data, time and weather as the basis of regional accessibility. On this basis, it designed the calculation model of the region accessibility ratio based on multidimensional OD matrix in this work which was used as the quantitative methods of regional accessibility to achieve the purpose of improving the accuracy of accessibility assessment. In addition, to solve the problem of traditional GPS data cleaning method, such as effective information missing and inaccurate data correction, which was caused by its over-roughness, it applied the serial data cleaning method based on the statistical theory in this model. It considered the speed and acceleration information of the taxi GPS data in this data cleaning method to correct the potential error and to improve the GPS data cleaning effect. Experiment result shows that the accuracy of the regional accessibility calculated by using the proposed multivariate data urban area accessibility assessment model is 9.1%~37.8% higher than that of the traditional methods, and the accuracy of the regional accessibility assessment ratio and travel time are increased by 12.6%~35.5% and 18.5%~31.6% respectively.

Foundation Support

国家科技支撑计划资助项目(2013BAH12F00,MK2013008)
辽宁省教育厅科学技术研究一般项目(L2015216)
第六批生产技术问题创新研究基金资助项目(20160092T)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0980
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 1015-1021
Serial Number: 1001-3695(2019)04-013-1015-07

Publish History

[2019-04-05] Printed Article

Cite This Article

单晓晨, 曲海成, 刘万军. 基于多元数据的城市区域可达性评估模型 [J]. 计算机应用研究, 2019, 36 (4): 1015-1021. (Shan Xiaochen, Qu Haicheng, Liu Wanjun. Evaluation model of urban area accessibility based on multivariate data [J]. Application Research of Computers, 2019, 36 (4): 1015-1021. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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