Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Industrial location (2)
- Ambulance service -- Location -- Mathematical models (1)
- Automobile drivers -- Behavior (1)
- Battery chargers -- Location (1)
- COVID-19 (Disease ) -- Economic aspects -- United States (1)
-
- Conditional expectations (Mathematics) (1)
- Crash injuries -- Statistics (1)
- Cycling -- Safety measures (1)
- Cycling accidents (1)
- Delivery of goods (1)
- Drone aircraft (1)
- Electric Scooters -- accidents -- United States -- Statistics (1)
- Electric scooters -- Evaluation (1)
- Electric scooters -- United States -- Public opinion (1)
- Electronic commerce -- Social aspects (1)
- Emergency medical services (1)
- Equity (1)
- Road markings (1)
- Roads -- Interchanges and intersections (1)
- Roads -- Interchanges and intersections -- Oregon -- Portland -- Safety measures (1)
- Robust optimization (1)
- Social Justice (1)
- Publication
- Publication Type
Articles 1 - 7 of 7
Full-Text Articles in Engineering
Determinant Factors Of Bicyclist Injury Severity At Signalized And Unsignalized Intersections, Apy Das
Determinant Factors Of Bicyclist Injury Severity At Signalized And Unsignalized Intersections, Apy Das
Dissertations and Theses
Bicycling is becoming increasingly popular in Oregon and the US in general due to its environment friendliness as well as health benefits. With Oregon's population projected to increase by more than 30% over the next 30 years, improving the safety of the transportation network for persons on bicycles is important. In Oregon, majority of the bicyclist crashes occur at intersections. This thesis seeks to identify the determinant factors that significantly impact bicyclist crash injury severity at intersections. A mixed logit framework that accounts for any unobserved heterogeneity in the data and allows the estimated parameters to randomly vary across observations …
Improving Bicycle Crossings At Unsignalized Intersections Through Pavement Markings: Analysis Of The City Of Portland Innovative Strategy, Frank Boateng Appiah
Improving Bicycle Crossings At Unsignalized Intersections Through Pavement Markings: Analysis Of The City Of Portland Innovative Strategy, Frank Boateng Appiah
Dissertations and Theses
The increasing trend in the number of bicycle crashes in the U.S since 2009 has been a major challenge to safety. In 2019, a total of 36,096 people were killed on U.S roadways. A total of 846 (2.3%) of these fatalities were bicyclists and around 75% of the bicycle fatalities occur in urban areas and intersections are common locations of crashes. Many bicycle enhancements such as bike boxes, bicycle signals, curb extensions have been installed to improve safety at signalized intersections. The City of Portland OR experimented with an innovative treatment to improve bicycle crossings at unsignalized crossings. This treatment, …
E-Scooter Safety And How To Improve It, Eric Valentino
E-Scooter Safety And How To Improve It, Eric Valentino
altREU Projects
In the last few years, electronic scooters have taken over cities as a means of personal transportation. Between 2017 and 2019 alone, over 30 million trips were recorded across over 100 cities in the US. These scooters pose a safety risk, as 20 in 100,000 trips will result in injury of the rider. On top of this, scooters can cause damage to property, injury pedestrians and motor vehicle drivers, as well as obstruct important infrastructure such as wheelchair ramps. For these reasons, it is important to develop an understanding of the factors that contribute to e-scooter related injuries in order …
Incorporating Conditional Ss-Mean Based Equity Metric In Coverage Based Facility Location Problems, Rohan Sirupa
Incorporating Conditional Ss-Mean Based Equity Metric In Coverage Based Facility Location Problems, Rohan Sirupa
Dissertations and Theses
A classical maximum coverage facility location problem (MCLP) tries to maximize the coverage by serving all possible demands within the specified coverage radius. Depending on the applications, several families of MCLP variants have been developed - each with its unique set of additional constraints. One specific application is locating Emergency medical service (EMS) units. EMS units such as ambulances or drones with emergency supplies are located using models such as the maximum expected survival location problem (MEXSLP). However, a classical MEXSLP model tends to locate EMS units near densely populated regions, resulting in increased response times for lowly populated regions. …
Distributionally Robust Optimization Utilizing Facility Location Problems, Elijah Kling
Distributionally Robust Optimization Utilizing Facility Location Problems, Elijah Kling
Civil and Environmental Engineering Undergraduate Honors Theses
Facility location problems are used in widespread application in transportation, freight, supply chain, and logistics problems. Models can be developed as deterministic, where all parameters are known, or robust, where a parameter has uncertainty. This thesis explores a new method for developing robust formulation and compares the implications of assuming values for this uncertain parameter. Two models are solved, and both are compared against their deterministic counterparts using numerical analysis. By manipulating the input parameters and considering real world implications of the solutions, either the robust or deterministic can show better performance.
Maximum Coverage Facility Location Drone Routing Problem With Multiple Trip Stops, Marie Roza
Maximum Coverage Facility Location Drone Routing Problem With Multiple Trip Stops, Marie Roza
Civil and Environmental Engineering Undergraduate Honors Theses
Integer linear optimization can be used to formulate routing problems as models to find optimal solutions given a set of inputs and constraints. In this research, Chauhan et al.'s publication, "Maximum coverage capacitated facility location problem with range constrained drones," is expanded upon by modeling a facility location problem with two-to-one drone deliveries. The model analyzes a set of potential facilities that are available to meet the demands of a set of demand points. The drone delivery routes are modeled with the assumption that each opened facility is assigned one drone that can fulfill up to two demand points’ demands …
Exploring The Impact Of Socio-Demographic Characteristics, Health Concerns, And Product Type On Home Delivery Rates And Expenditures During A Strict Covid-19 Lockdown Period: A Case Study From Portland, Or, Miguel Figliozzi, Avinash Unnikrishnan
Exploring The Impact Of Socio-Demographic Characteristics, Health Concerns, And Product Type On Home Delivery Rates And Expenditures During A Strict Covid-19 Lockdown Period: A Case Study From Portland, Or, Miguel Figliozzi, Avinash Unnikrishnan
Civil and Environmental Engineering Faculty Publications and Presentations
E-commerce volumes and home deliveries have experienced steady growth in the last two decades. Strict COVID-19 lockdowns made home delivery an essential service and a lifeline for many households that, for travel restrictions or health concerns, were not able to utilize traditional shopping methods. This research studies the impact of socio-demographic variables and e-commerce attitudes on household deliveries for seven product categories (groceries, meals, electronics, household and office goods, recreational items, and fashion, beauty and personal care products, and medicine/health-related products) during the lockdown period in the greater Portland metropolitan region. To understand these impacts, exploratory factor analysis and …