Results 51 to 60 of about 16,206 (266)

Research on Station Passenger Flow Organization Model Based on Temporal Knowledge Graph

Chengshi guidao jiaotong yanjiu
Objective Urban rail transit stations are facing the challenges of increasing passenger flow pressure and insufficient intelligent means. To improve the efficiency and intelligent level of passenger flow organization in station, it is necessary to adopt ...
MENG Ge
doaj   +1 more source

A Green Consumer‐Based Approach to Advance Branding Strategies in Experiential Consumption Contexts. Insight From the Cruise Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT Growing environmental awareness has intensified demand for sustainability and transparency, especially in cruise tourism, a high‐impact and highly scrutinised service context. This study examines how green consumption values (GCV) shape passengers' perceptions of the credibility of green marketing claims (believability) and, in turn, influence
Marcello Risitano, Giuseppe La Ragione, Annarita Sorrentino, Francesco Parola   +3 more
wiley   +1 more source

Intrinsically Ultrahigh‐Rate Charging Capability of Conversion Reaction Cathodes and Its Origin: A Mechanism Study on FeS2

Carbon Energy, EarlyView.
Origin of the ultrahigh‐rate charge capability of FeS2: FeS2 demonstrates exceptional high‐rate charging capability, delivering 92% capacity retention at 10 C and maintaining as much as 60% capacity retention even at 30 C. This originates from an ultrahigh apparent diffusion coefficient involving both Li+ and Fe2+.
Zhen Yu, Junxiong Chen, Zongwang Tian, Ji Li, Yicheng Wang, Lifu Shen, Jianwei Meng, Kaiyu Zhang, Jingyi Xie, Nian Zhang, Xuefei Feng, Tsu‐Chien Weng, Xiaosong Liu, Pengfei Yu   +13 more
wiley   +1 more source

Passenger evacuation during subway escalator malfunction under mass passenger flow

Shenzhen Daxue xuebao. Ligong ban
Subway stations are characterized by mass passenger flow, complex evacuation routes and limited underground space. Failure to evacuate passengers in a timely manner during emergency situations may lead to panic, serious safety accidents and property loss.
LI Weiwei, LOU Xiaolei, YANG Wenjie, HU Mingwei, DENG Xuan   +4 more
doaj   +1 more source

Network structure of subway passenger flows [PDF]

Journal of Statistical Mechanics: Theory and Experiment, 2016
The results of transportation infrastructure network analyses have been used to analyze complex networks in a topological context. However, most modeling approaches, including those based on complex network theory, do not fully account for real-life traffic patterns and may provide an incomplete view of network functions.
Xu, Qi, Mao, Baohua, Bai, Yun
openaire   +2 more sources

A Strategic Action Plan to Advance Circular Economy Practices in the Automotive Industry Based on Sector Insights to Support Sustainable Development

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The circular economy is gaining traction as a transformative approach to address climate change and the shortcomings of the linear economic model, which is defined by unsustainable production and consumption patterns. This study explores the implementation of circularity principles in the Spanish automotive industry, with particular attention ...
Salvador Perez‐Canto, Alvaro Ramos‐Garcia, Carlos de las Heras‐Rosas   +2 more
wiley   +1 more source

Mining smart card data to estimate transfer passenger flow in a metro network

IET Intelligent Transport Systems
Metro systems play an important role in reducing urban traffic congestion and promoting the sustainable development of urban transport in megacities.
Yuhang Wu, Tao Liu, Lei Gong, Qin Luo, Bo Du   +4 more
doaj   +1 more source

Innovation and Growth Investment Through Capital Expenditure as a Channel and Boundary Condition Between Financial Performance and Corporate Reputation

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the role of capital expenditure in the relationship between financial performance and corporate reputation. Using moderation and mediation analyses based on multiple regressions with bootstrapping, we examined data from 121 airlines from 46 countries during 2007–2023.
Larissa M. Batrancea, Andreas‐Daniel Cocis, Ioan Dan Morar   +2 more
wiley   +1 more source

Improved Long-Term Forecasting of Passenger Flow at Rail Transit Stations Based on an Artificial Neural Network

Applied Sciences
When new rail stations or lines are planned, long-term planning for decades to come is required. The short-term passenger flow prediction is no longer of practical significance, as it only takes a few factors that affect passenger flow into consideration.
Zitao Du, Wenbo Yang, Yuna Yin, Xinwei Ma, Jiacheng Gong   +4 more
doaj   +1 more source

Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method

Journal of Advanced Transportation, 2018
The prediction of entrance and exit passenger flow of rail transit stations is one of key research focuses in the area of intelligent transportation. Based on the big data of rail transit IC card (Public Transportation Card), this paper analyzes the data
Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang   +2 more
doaj   +1 more source