Bryan Weber

Bryan Weber
City University of New York - College of Staten Island | CSI CUNY · Department of Economics

PhD. Economics

About

12
Publications
1,171
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
26
Citations
Introduction
Research emphasizes urban economics, branching into two main areas of study. The first area is transportation, particularly ride-sharing programs like Uber and other destination-to-destination ride programs. The second area is crime, which extends to large scale terrorism and simulated conflict in games.

Publications

Publications (12)
Article
Full-text available
This paper uniquely examines the influence of a new university bus service on urban crime. It concentrates on the interaction between the new bus service and a long-standing safe ride program. The new bus service is associated with a decline in safe rides, and such substitution raises the well-known concern that a fixed transit route may concentrat...
Article
Full-text available
This paper investigates the association of Uber, a substantial transportation innovation, with crime counts in urban areas that have accepted the program. I find the introduction of Uber to be associated with a large and significant reduction of personal crimes by 5% in treated cities (about 43 personal crimes a month, roughly 41 assaults), and dis...
Article
Full-text available
We examine the effect on the incidence of casualties and crashes of a city-wide vehicle speed limit reduction in New York City (NYC) streets. The law change, part of Mayor Bill de Blasio’s Vision Zero Action Plan to improve traffic safety, cuts the default speed limit for streets with no speed limit signs from 30 to 25 mph beginning November 7, 201...
Article
Full-text available
Predicting catastrophes involves heavy‐tailed distributions with no mean, eluding proactive policy as expected cost‐benefit analysis fails. We study US government counterterrorism policy, given heightened risk of terrorism. But terrorism also involves human behavior. We synthesize the behavioral and statistical aspects in an adversary‐defender game...
Article
Full-text available
Purpose This paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets. Design/methodology/approach The authors conduct a large-scale survey on 16,000 firms from 82 industries in Ho Chi Minh City, Vietnam, and analyze the data set by using different machine-learning methods. Findings First, job loss and reducti...
Article
We use the unique data set of 16,300 firms' responses for the large-scale census survey in an urban area at Ho Chi Minh City (Vietnam) to study how firms perceived their problems and responded to during the COVID-19 pandemic. We provide estimates of 65 cross-associations between a firm's challenges during the pandemic and their responses. We find s...
Article
In this paper, we provide an application that produces consistent in-game estimates of win probabilities in Dota 2. Previous work shows that common methods of identifying the effect of in-game features are strongly inconsistent, which we corroborate here with a large data set. We further provide an in-game application for players to see these estim...
Article
Full-text available
Purpose The proliferation of terrorism worldwide raises the risk that terrorist strategies could evolve from conventional methods (e.g. suicide attacks) to biological, chemical and even radioactive and nuclear attacks (commonly abbreviated as CBRN) which are potentially much more dangerous. The authors make three contributions toward a better under...
Article
Predicting catastrophes sometimes involves heavy-tailed distributions with no mean, eluding proactive policy since expected cost-benefit based analysis fails. We study US government counterterrorism policy, given heightened risk of terrorism. However, terrorism involves human behavior. We synthesize the behavioral and statistical aspects within an...
Conference Paper
Abstract: This paper reviews an entrant to this year’s Star-Craft: Brood War AI tournament, CUNYbot. CUNYbot makes strategic decisions using a low-dimensional economic model traditionally used to describe the behavior of countries, but has applications for any real-time-strategy game (RTS) where the capital/labor ratio (k) and technology/labor rati...
Article
Full-text available
This study evaluates the influence of a safe ride program on neighborhood crime in a major urban area. Using an hours of the week panel, the program’s operation is associated with an approximate 14 percent reduction in crime. The program being open appears to have roughly similar influences on different categories of crime. Moreover, increases in r...

Network

Cited By

Projects

Project (1)
Project
Common games in the digital era make excellent testing grounds for economic and behavioral ideas. The ability to gather nearly all relevant input data over the course of a also serves as a unique opportunity since real economies and decisions often have numerous factors that are not recorded.