Jian Rong

Jian Rong


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2019 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
XCXin Chang
Xin Chang
HLHaijian Li
Haijian Li
LQLingqiao Qin
Lingqiao Qin
JRJian Rong
Jian Rong
YLYao Lu
Yao Lu
XCXiaoxuan Chen
Xiaoxuan Chen

1 April 2020 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
LHLihua Huang
Lihua Huang
Xiaohua ZhaoXiaohua Zhao
Xiaohua Zhao
YLYang Li
Yang Li
JMJianming Ma
Jianming Ma
LYLiping Yang
Liping Yang
YWYu Wang
Yu Wang


9 April 2014 in Sustainability
Verified
Journal Article
Open access
PDF file
SWShuwei Wang
Shuwei Wang
XZXi Zhang
Xi Zhang
JRJian Rong
Jian Rong
ZYZifan Yang
Zifan Yang
A green transportation system composed of transit, busses and bicycles could be a significant in alleviating traffic congestion. However, the inaccuracy of current transit ridership forecasting methods is imposing a negative impact on the development of urban transit systems. Traffic Analysis Zone (TAZ) delineating is a fundamental and essential step in ridership forecasting, existing delineating method in four-step models have some problems in reflecting the travel characteristics of urban transit. This paper aims to come up with a Transit Traffic Analysis Zone delineation method as supplement of traditional TAZs in transit service analysis. The deficiencies of current TAZ delineating methods were analyzed, and the requirements of Transit Traffic Analysis Zone (TTAZ) were summarized. Considering these requirements, Thiessen Polygon was introduced into TTAZ delineating. In order to validate its feasibility, Beijing was then taken as an example to delineate TTAZs, followed by a spatial analysis of office buildings within a TTAZ and transit station departure passengers. Analysis result shows that the TTAZs based on Thiessen polygon could reflect the transit travel characteristic and is of in-depth research value.

1 June 2018 in Accident Analysis & Prevention
Verified
Journal Article
Closed access
Xiaohua ZhaoXiaohua Zhao
Xiaohua Zhao
HDHan Ding
Han Ding
ZLZhanzhou Lin
Zhanzhou Lin
JMJianming Ma
Jianming Ma
JRJian Rong
Jian Rong

1 December 2010 in Journal of Urban Planning and Development
Verified
Journal Article
Closed access
LSLishan Sun
Lishan Sun
JRJian Rong
Jian Rong
LYLiya Yao
Liya Yao
The importance of a transportation terminal’s transfer efficiency to passengers is well known. However, it is still a problem of how to combine the various indicators into a single indicator that can be used to quickly compare transportation terminals’ transfer efficiency and identify those terminals in need of intervention. This paper presents a study that is reflective of such an effort. Using the transfer data obtained from 10 transportation terminals in Beijing, the individual performance measures were combined into a single comprehensive measure through the data envelopment analysis (DEA). Efficiency is allowed to be measured by DEA when decision making units have multiple inputs and multiple outputs. The input variables are the transfer area, operating expense, (the number of) staff in the terminal and the capacity of buses. The output variables are measured by the transfer safety and average transfer time of all the transfer passengers. This paper gained the efficiency order of the 10 transportatio...