亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Analysis of regional differences and evolution features for waterway transport efficiency in the Yangtze River Economic Belt considering undesired outputs

长江 环境科学 水资源管理 水文学(农业) 环境资源管理 地理 地质学 中国 岩土工程 考古
作者
Jun Zhu,Ying Zhao,Qiang Yang,Jun Jiang
出处
期刊:Ocean & Coastal Management [Elsevier BV]
卷期号:253: 107122-107122
标识
DOI:10.1016/j.ocecoaman.2024.107122
摘要

Waterway transport plays an increasingly important role in pursuing the sustainable development of the transportation industry and promoting regional economic development. Understanding the regional differences and evolution features of waterway transport efficiency (WTE) is a requisite for formulating waterway transport development policies. However, many studies of transport efficiency mainly focus on road, railway, and air transportation. Few studies have conducted an in-depth analysis of the WTE in the Yangtze River Economic Belt (YREB) from the perspective of considering undesired output. Adopting the Super slack-based measure (Super-SBM) model, Dagum Gini coefficient, and kernel density estimation as an analysis tool, this study explored the WTE's region disparities and dynamic evolution features based on the data from 2011 to 2020 in YREB. The analysis results represent that: (1) there represented a fluctuating and slowly upward trend of waterway transport efficiency during the study period. (2) The midstream region has the highest waterway transport efficiency, followed by the upstream region, and last is the downstream region. (3) The regional disparities in waterway transport efficiency exist in YREB, and the primary source of these differences is the inter-regional difference. And (4) the polarization phenomenon and agglomeration characteristics of waterway transport efficiency in YREB are gradually weakened and decreased, respectively. In the end, this article summarized the implications of this study to improve the waterway transport efficiency and service capabilities in YREB.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助高群采纳,获得10
2秒前
6秒前
18秒前
23秒前
Sunziy完成签到,获得积分10
25秒前
25秒前
Lucas应助科研通管家采纳,获得10
29秒前
wanci应助科研通管家采纳,获得10
29秒前
丘比特应助科研通管家采纳,获得10
29秒前
43秒前
45秒前
科研老狗发布了新的文献求助10
49秒前
52秒前
今后应助浪烨采纳,获得10
58秒前
枯蚀完成签到,获得积分10
1分钟前
烨枫晨曦完成签到,获得积分10
1分钟前
1分钟前
1分钟前
影子发布了新的文献求助10
1分钟前
浪烨发布了新的文献求助10
1分钟前
科研通AI6.1应助科研老狗采纳,获得10
1分钟前
怡然夕阳完成签到,获得积分10
1分钟前
Ava应助碳酸芙兰采纳,获得10
1分钟前
2分钟前
2分钟前
怡然夕阳发布了新的文献求助10
2分钟前
KongXY完成签到 ,获得积分10
2分钟前
碳酸芙兰发布了新的文献求助10
2分钟前
上官若男应助科研通管家采纳,获得10
2分钟前
Criminology34完成签到,获得积分0
2分钟前
nkr完成签到,获得积分10
2分钟前
yangtong发布了新的文献求助10
2分钟前
斯文败类应助小薛采纳,获得10
3分钟前
binibabo完成签到 ,获得积分10
3分钟前
3分钟前
细心书蕾发布了新的文献求助10
3分钟前
休眠补正完成签到,获得积分10
3分钟前
文静的刺猬完成签到,获得积分10
3分钟前
3分钟前
yangtong完成签到 ,获得积分10
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362109
求助须知:如何正确求助?哪些是违规求助? 8175716
关于积分的说明 17224060
捐赠科研通 5416813
什么是DOI,文献DOI怎么找? 2866577
邀请新用户注册赠送积分活动 1843771
关于科研通互助平台的介绍 1691516