The Effect Of New Western Land-Sea Corridor On Ports In East China (A Case Study Of Shanghai Port),
2021
World Maritime University
The Effect Of New Western Land-Sea Corridor On Ports In East China (A Case Study Of Shanghai Port), Yixin Liu
World Maritime University Dissertations
No abstract provided.
The Formation Mechanism Of China's Export Container Freight Rate,
2021
World Maritime University
The Formation Mechanism Of China's Export Container Freight Rate, Yuchao Liu
World Maritime University Dissertations
No abstract provided.
Research On Optimization Of A Company's Agricultural Products Cold Chain Logistics System,
2021
World Maritime University
Research On Optimization Of A Company's Agricultural Products Cold Chain Logistics System, Shizhe Qiao
World Maritime University Dissertations
No abstract provided.
Research On The International Linkage Of Chinese Oil Tanker Transport Market Based On The Theory Of New Economic Geospatial,
2021
World Maritime University
Research On The International Linkage Of Chinese Oil Tanker Transport Market Based On The Theory Of New Economic Geospatial, Cheng Miao
World Maritime University Dissertations
No abstract provided.
Research On Responses Of Container Ports To Global Pandemic,
2021
World Maritime University
Research On Responses Of Container Ports To Global Pandemic, Yirui Qiao
World Maritime University Dissertations
No abstract provided.
Analysis On The Fluctuation Of China's Imported Iron Ore Freight Rate In Recent,
2021
World Maritime University
Analysis On The Fluctuation Of China's Imported Iron Ore Freight Rate In Recent, Yizheng Shen
World Maritime University Dissertations
No abstract provided.
Adoption And Use Of E-Grocery Shopping In The Context Of The Covid-19 Pandemic: Implications For Transport Systems And Beyond,
2021
Portland State University
Adoption And Use Of E-Grocery Shopping In The Context Of The Covid-19 Pandemic: Implications For Transport Systems And Beyond, Gabriella Abou-Zeid
Dissertations and Theses
In 2020, the COVID-19 pandemic drastically impacted travel for in-person shopping, commute trips, global supply chains, and food business operations. Previously mundane tasks, like shopping for food and household items, became markedly different as new social distancing and mask guidelines were put in place to mitigate the spread of COVID-19. Concurrently, e-commerce sales in the U.S. skyrocketed. E-grocery pickup and delivery services saw unprecedented expansions. The adoption and use of e-grocery services have implications for equity and mobility, although the nature of the relationship of e-grocery to the latter is still unclear. Enhancing our understanding of the drivers of (and …
Towards Creating Smart Cities In Nepal,
2021
Arizona State University; and, Institute for Integrated Development Studies (IIDS), Nepal
Towards Creating Smart Cities In Nepal, Ambika P. Adhikari, Keshav Bhattarai
Himalayan Research Papers Archive
Many urban centers in the world are seeking to become smart cities. Nepali city leaders are also aspiring to make their cities smart. A smart city basically has clever improvements made in three sectors of its operations: technological, human, and institutional. Globally, many cities have recently made impressive enhancements in at least one or more of these areas. Nepal’s National Planning Commission (NPC) in 2016 had released a concept paper on smart cities for Nepal, defining smart cities as sustainable, information and technology-based, with high quality services and replicable (NPC 2016). As most Nepali cities still operate with limited infrastructure, …
The Impact Of Select Buses On Taxi Ridership In Nyc,
2021
City University of New York (CUNY)
The Impact Of Select Buses On Taxi Ridership In Nyc, Sara Ahmed
Theses and Dissertations
The objective of this research is to measure the impact of select buses on taxi ridership in NYC. Due to the phased implementation of select buses in NYC, a difference-in-differences model was used. Taxi ridership on the M14A/M14D, M34, M79, and M15 bus routes was examined as the treatment group. The control group is the M100/M101 non-select bus route that runs along Lexington and Amsterdam Avenue. The results from this model show that the M14A/M14D, M34, and M79 select buses had a negative statistically significant impact on taxi ridership. The M15 select bus had a positive statistically insignificant impact on …
Gp3: Gaussian Process Path Planning For Reliable Shortest Path In Transportation Networks,
2021
Singapore Management University
Gp3: Gaussian Process Path Planning For Reliable Shortest Path In Transportation Networks, Hongliang Guo, Xuejie Hou, Zhiguang Cao, Jie Zhang
Research Collection School Of Computing and Information Systems
This paper investigates the reliable shortest path (RSP) problem in Gaussian process (GP) regulated transportation networks. Specifically, the RSP problem that we are targeting at is to minimize the (weighted) linear combination of mean and standard deviation of the path's travel time. With the reasonable assumption that the travel times of the underlying transportation network follow a multi-variate Gaussian distribution, we propose a Gaussian process path planning (GP3) algorithm to calculate the a priori optimal path as the RSP solution. With a series of equivalent RSP problem transformations, we are able to reach a polynomial time complexity algorithm with guaranteed …
Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes,
2021
University of Oregon
Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes, Stephen Fickas
TREC Final Reports
This project focuses on giving bicyclists a safer and more efficient path through a city’s signalized intersections. It builds on a prior NITC project that tested an app for a fixed-time corridor. The goal of this project is to lay the groundwork for extending this earlier app to include actuated signals. Two machine-learning algorithms are introduced that have a good track record with time-series forecasting: LSTM and 1D CNN. The algorithms are tested on data captured from a busy bike corridor on the south end of the University of Oregon campus. A specific actuated intersection is identified on this corridor …
Incorporating The 10th Edition Institute Of Traffic Engineers (Ite) Trip Generation Rates Into Virginia Department Of Transportation Guidelines,
2021
Old Dominion University
Incorporating The 10th Edition Institute Of Traffic Engineers (Ite) Trip Generation Rates Into Virginia Department Of Transportation Guidelines, Kun Xie, Mecit Cetin, Hong Yang, Xiaomeng Dong
Civil & Environmental Engineering Faculty Publications
The Institute of Transportation Engineers (ITE) released the Trip Generation (TG) 10th edition in 2017, which significantly updated its database, and some of its trip generation rates were substantially lower than those of earlier editions. This study aims to investigate the applicability of the TG 10th edition in various Virginia contexts and to recommend how to incorporate the TG 10th edition into state guidelines. The research team surveyed 31 state transportation agencies to obtain a clear understanding of current practices in the adoption of trip rates and trip estimation approaches. We systematically compared trip rates of TG 9th and 10th …
Assessing The Impact Of Health Benefits And Carbon Footprint In Student Parking Decisions At A University Campus,
2021
University of Texas at El Paso
Assessing The Impact Of Health Benefits And Carbon Footprint In Student Parking Decisions At A University Campus, Emiliano Ruiz
Open Access Theses & Dissertations
In the student parking location problem, traditionally, the parking permit cost, the last-mile travel time, and the ease of finding an available parking stall are the only decision criteria driving permit purchases. However, a studentâ??s choice of parking location has associated walking health benefits and sustainability impacts. These impacts are related to the walking distance from the parked vehicle to the final destination on campus, in addition to the location effect on the carbon footprint of a vehicle-trip taken to campus. As such, this Thesis examined a multi-criteria decision approach to a university studentâ??s choice of parking location. This approach …
An Improved Learnable Evolution Model For Solving Multi-Objective Vehicle Routing Problem With Stochastic Demand,
2021
Singapore Management University
An Improved Learnable Evolution Model For Solving Multi-Objective Vehicle Routing Problem With Stochastic Demand, Yunyun Niu, Detian Kong, Rong Wen, Zhiguang Cao, Jianhua Xiao
Research Collection School Of Computing and Information Systems
The multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is much harder to tackle than other traditional vehicle routing problems (VRPs), due to the uncertainty in customer demands and potentially conflicted objectives. In this paper, we present an improved multi-objective learnable evolution model (IMOLEM) to solve MO-VRPSD with three objectives of travel distance, driver remuneration and number of vehicles. In our method, a machine learning algorithm, i.e., decision tree, is exploited to help find and guide the desirable direction of evolution process. To cope with the key issue of "route failure" caused due to stochastic customer demands, we propose a …
Exploration Of Corridor-Based Tolling Strategies For Virginia’S Express Toll Lanes,
2021
George Mason University
Exploration Of Corridor-Based Tolling Strategies For Virginia’S Express Toll Lanes, Shanjiang Zhu, Mecit Cetin, Hong Yang, Olcay Sahin, Atabak Mardan
Civil & Environmental Engineering Faculty Publications
Virginia has invested significant resources in the development of express toll lanes (ETLs), which adjust toll rates dynamically based on the level of toll lane usage. A tool is needed to investigate the potential impact of the I-66 Outside-the-Beltway (OTB) ETLs on regional traffic patterns. This study developed a microscopic traffic simulation model in TransModeler to evaluate a set of corridor-based tolling strategies for the I-66 ETLs in NOVA. This model also considered the changes in vehicle occupancy, mode split, and departure time among travelers because of tolls based on locally collected data. An interactive map-based analyzer based on the …
Data Files: Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes,
2021
University of Oregon
Data Files: Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes, Stephen Fickas
TREC Datasets and Databases
The project builds on a prior app that was designed for Green Light Optimized Speed Advisory (GLOSA). This is more colloquially known as keeping a vehicle in the green wave: you are at a location and moving at a speed that will allow you to (theoretically) have a green light at each intersection you encounter along a corridor. Our long-term goal is to extend the FastTrack app described in the Background section to include actuated signals along a corridor. This project takes a first step by evaluating the effectiveness of machine-learning algorithms to predict the next phase of an actuated …
Data-Driven Mobility Strategies For Multimodal Transportation,
2021
University of Arizona
Data-Driven Mobility Strategies For Multimodal Transportation, Yao-Jan Wu, Xianfeng Terry Yang, Sirisha Kothuri, Abolfazl Karimpour, Qinzheng Wang, Jason Anderson
TREC Final Reports
Multimodal transportation systems (e.g., walking, cycling, automobile, public transit, etc.) are effective in increasing people’s travel flexibility, reducing congestion, and improving safety. Therefore, it is critical to understand what factors would affect people’s mode choices. With advanced technology, such as connected and automated vehicles, cities are now facing a transition from traditional urban planning to developing smart cities. To support multimodal transportation management, this study will serve as a bridge to connect speed management strategies of conventional corridors to connected vehicle corridors. This study consists of three main components. In the first component, the impact of speed management strategies along …
Using Deep Learning Algorithms To Give Bicyclists The “Green Wave” At Traffic Signals,
2021
University of Oregon
Using Deep Learning Algorithms To Give Bicyclists The “Green Wave” At Traffic Signals, Stephen Fickas
TREC Project Briefs
Led by Dr. Stephen Fickas of the University of Oregon (UO), transportation researchers are working to give bicyclists smoother rides by allowing them to communicate with traffic signals via a mobile app.
Gaps And Opportunities In Accessibility Policy For Autonomous Vehicles,
2021
University of San Francisco
Gaps And Opportunities In Accessibility Policy For Autonomous Vehicles, William Riggs, Anurag Pande
Mineta Transportation Institute
Nearly 1 in 5 people in the US have a disability (more than 57 million) (U.S. Census Bureau), and people with disabilities use the automobile as a travel mode at significantly lower rates than people without disabilities (Bureau of Transportation Statistics). For example, people aged 18 to 64 with disabilities make 28% fewer trips per day (2.6 v. 3.6 trips) on average than people without disabilities. The disparity is even more significant for non-workers. These statistics highlight the notable technological, design, and policy failings in today’s transportation system - that disabled individuals have considerable suppressed demand for travel that is …
Spatio-Temporal Analysis Of The Roadside Transportation Related Air Quality (Startraq) And Neighborhood Characterization,
2021
California State University, Fresno
Spatio-Temporal Analysis Of The Roadside Transportation Related Air Quality (Startraq) And Neighborhood Characterization, Jaymin Kwon, Yushin Ahn, Steve Chung
Mineta Transportation Institute
To promote active transportation modes (such as bike ride and walking), and to create safer communities for easier access to transit, it is essential to provide consolidated data-driven transportation information to the public. The relevant and timely information from data facilitates the improvement of decision-making processes for the establishment of public policy and urban planning for sustainable growth, and for promoting public health in the region. For the characterization of the spatial variation of transportation-emitted air pollution in the Fresno/Clovis neighborhood in California, various species of particulate matters emitted from traffic sources were measured using real-time monitors and GPS loggers …
