Preliminary Study On Cloud Bill Of Lading Issue,
2020
World Maritime University
Preliminary Study On Cloud Bill Of Lading Issue, Yanchi Chen
World Maritime University Dissertations
No abstract provided.
Research On The Development Strategy Of Cosco Shipping Lines,
2020
World Maritime University
Research On The Development Strategy Of Cosco Shipping Lines, Hao Hu
World Maritime University Dissertations
No abstract provided.
Scope Economy Analysis Of Container Shipping Network,
2020
World Maritime University
Scope Economy Analysis Of Container Shipping Network, Yongxin Hu
World Maritime University Dissertations
No abstract provided.
Economic Analysis Of Vessel Sox Emission Reduction Measures In The Context Of China,
2020
World Maritime University
Economic Analysis Of Vessel Sox Emission Reduction Measures In The Context Of China, Peng Guan
World Maritime University Dissertations
No abstract provided.
Research On The Overseas Investment Of Chinese Port Operators Under The Belt And Road Initiative : A Case Study On Cosco Shipping Ports And China Merchants Port,
2020
World Maritime University
Research On The Overseas Investment Of Chinese Port Operators Under The Belt And Road Initiative : A Case Study On Cosco Shipping Ports And China Merchants Port, Junjie Huang
World Maritime University Dissertations
No abstract provided.
From Conference To Alliance : Multiple Perspectives,
2020
World Maritime University
From Conference To Alliance : Multiple Perspectives, Jungwoo Lim
World Maritime University Dissertations
No abstract provided.
What Makes Cents? How Uber Shapes Municipal On-Street Parking Revenue,
2020
University of Oregon
What Makes Cents? How Uber Shapes Municipal On-Street Parking Revenue, Anne Brown, Benjamin Y. Clark
TREC Final Reports
Autonomous vehicles (AVs) will challenge cities in many ways that are critical to address before widescale adoption. In particular, AVs may upset municipal budgets as they upend traditional auto-related funding streams like registration fees and parking revenues. This research begins to quantify the potential financial impacts of AVs by analyzing current associations between transportation network company (TNC) trips—often viewed as a precursor of AVs—and parking revenue. This report uses TNCs as a proxy for future AV travel to examine the connections between trip-making and on-street parking occupancy and revenue. Specifically, we use Uber trip data along with built environment and …
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Zhenyu Wang, Pei-Sung Lin, Srinivas Katkoori, Mingchen Li, Abhijit Vasili, Runan Yang
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Franklin Gbologah, Kyla Prendergast, Michael Rodgers
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Roya Etminanighasrodashti, Chen Kan, Ladan Mozaffarian, Muhammad Arif Qaisrani, Omer Mogultay
CTEDD Final Project Reports - Archive
No abstract provided.
Final Report And User Guide,
2020
University of Texas at Arlington
Final Report And User Guide, Kristine Williams, Jeff Kramer, Yaye Keita, Tia Boyd
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Melanie Sattler, Kate Hyun, Arpita Bhatt, Ardeshir Anjomani, Caroline Krejci, Victoria Chen, Mithila Chakraborty, Nic Raven, Ali Behseresht
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Carolyn Mcandrews
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Tingting Zhao, Yu Zhang
CTEDD Final Project Reports - Archive
No abstract provided.
Final Project Report,
2020
University of Texas at Arlington
Final Project Report, Haobing Liu, Randall Guensler, Michael Rodgers
CTEDD Final Project Reports - Archive
No abstract provided.
A Visible Light Communications Framework For Intelligent Transportation Systems,
2020
California State University, Fresno
A Visible Light Communications Framework For Intelligent Transportation Systems, Hovannes Kulhandjian
Mineta Transportation Institute
In this work, we developed a visible light communication (VLC) framework that can be used for Intelligent Transportation Systems (ITS). ITS has been motivated by the need for reducing traffic congestion and offering better user experience in navigation and location-specific services. Recently, VLC has drawn a great deal of attention in the research community, including the development of new applications for ITS. It would be of great use to enable the traffic lights to be able to talk to the vehicles in their proximity and convey important information about the traffic condition. In this project, we developed a framework that …
News Media Influence On Public Trust In Bike-Sharing Operators In Singapore,
2020
Singapore Management University
News Media Influence On Public Trust In Bike-Sharing Operators In Singapore, Leonard Wong, Lyon Tan, Rachel Wong, Su Lin Yeo
Research Collection Lee Kong Chian School Of Business
Purpose: The overnight introduction of tens of thousands of dockless bike-share bicycles in Singapore with its indiscriminate parking drew the attention of the media, which generated extensive news reports on the activities carried out by bike-sharing operators. Given the meteoric rise and fall of the industry, this study examines the influence of agenda-setting of news reporting on the public’s perception of the industry and the impact on the firms’ corporate reputation. Design/methodology/approach: Utilizing the Reputation Quotient Index, the study content analyzed 147 textual data of online reports which were crawled over two years between 2017 and 2018 from six mainstream …
Will Automated Vehicles Cut Parking Revenue? Not Overnight, But Cities Should Plan Ahead,
2020
University of Oregon
Will Automated Vehicles Cut Parking Revenue? Not Overnight, But Cities Should Plan Ahead, Benjamin Y. Clark, Anne Brown
TREC Project Briefs
Autonomous vehicles (AVs) will challenge cities in ways that are difficult to fully predict, yet critical to address. A particular challenge is the potential for AVs to upset municipal budgets, as they upend traditional auto-related funding streams like vehicle registration fees and parking revenues. To prepare for this uncertain future, cities should practice scenario planning to understand revenue implications and identify alternative solutions
Surveying Silicon Valley On Cycling, Travel Behavior, And Travel Attitudes,
2020
Sonoma State University
Surveying Silicon Valley On Cycling, Travel Behavior, And Travel Attitudes, Kevin Fang
Mineta Transportation Institute
This report presents the results from a March 2020 survey of Santa Clara County residents about their current travel behavior, overall thoughts on travel, and opinions about various forms of transportation in particular. While the instrument inquired about all modes of transportation, the survey was particularly focused on attitudes and behavior related to cycling. A total of 1,009 responses were included in the analysis. Overall, the study confirms that private motor vehicle travel dominates, with approximately 90 percent of respondents reporting that they drive in an average week and own cars. However, the results also show greater use of alternatives …
Towards Dynamic Vehicular Clouds,
2020
Old Dominion University
Towards Dynamic Vehicular Clouds, Aida Ghazizadeh
Computer Science Theses & Dissertations
Motivated by the success of the conventional cloud computing, Vehicular Clouds were introduced as a group of vehicles whose corporate computing, sensing, communication, and physical resources can be coordinated and dynamically allocated to authorized users. One of the attributes that set Vehicular Clouds apart from conventional clouds is resource volatility. As vehicles enter and leave the cloud, new computing resources become available while others depart, creating a volatile environment where the task of reasoning about fundamental performance metrics becomes very challenging. The goal of this thesis is to design an architecture and model for a dynamic Vehicular Cloud built on …
