Network performance measure and importance identification: A case study of private car in Zhengzhou city

Chenlan Wang, Nachuan Wang and Xiaotian Zhang

Physica A: Statistical Mechanics and its Applications, 2021, vol. 574, issue C

Abstract: This study develops the existing measurements on the basis of the EC framework to measure the OD-level and citywide travel efficiency, and proposes a new importance index to further identify the vital OD pairs for network improvement. We conduct both OD-level and citywide efficiency assessments with the private car data in Zhengzhou, China, with different cost units of travel time, travel distance and the integrated unit of PSWE, respectively. Spatial distributions of the most efficient and inefficient OD pairs are illustrated with maps. We also quantify the importance level of each OD pair in the city, and identify the vital OD pairs which encumber the system. It is found that long-distance trips tend to be more efficient, while inefficient trips often happen within the third-ring road of Zhengzhou City. Furthermore, detailed analysis on the vital inefficient OD pairs is also provided, referring to the land use planning of Zhengzhou city.

Keywords: Transportation network efficiency; OD pair; Private car; Importance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121002314
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002314

DOI: 10.1016/j.physa.2021.125959

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().