logistics | National Center for Sustainable Transportation

2019 International Urban Freight Conference

The International Urban Freight Conference provides a forum for multidisciplinary research on all aspects of urban freight and raises the visibility of urban freight research.

A Comprehensive Cost-based Comparative Analysis of Different Last-mile Strategies for E-commerce Delivery

Principal Investigator Daniel Rivera
University of California, Davis

The objective of this work is to develop a last-mile delivery optimization model based on Continuous Approximation (CA) techniques and cost-based sustainability assessments, capable of testing various last-mile strategies.

Project Status

In Progress

Analysis and Optimization Methods for Centralized Processing of Chassis

Principal Investigator Anastasios Chassiakos, Ph.D.
California State University Long Beach

This project applies "Centralized Processing of Chassis" to Port of Long Beach and Port of Los Angeles container movement.

Project Status

Complete

Applying Topological Data Analysis to Logistics Systems Analysis

Principal Investigator John Carlsson
University of Southern California

The purpose of this project is to apply computational tools from topological data analysis (TDA) to study the logistics systems in the state of California and the USA, with an emphasis on freight networks.

Project Status

In Progress

Carlos Otero Advances Freight Research

by Anna Espitallier
January 23, 2020

Education

Meet University of California, Davis Ph.D. candidate in Civil and Environmental Engineering, Carlos Otero.

Congestion Reduction through Efficient Container Movement under Stochastic Demand

Principal Investigator Maged Dessouky, Ph.D.
University of Southern California

This project develops a framework for efficiently transporting empty freight containers.

Project Status

Complete

Congestion Reduction Through Efficient Empty Container Movement Under Stochastic Demand

Research Product Type

Research Report

n this work, the authors developed a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today’s demand.

Curbside Management Is Critical for Minimizing Emissions and Congestion

Research Product Type

Policy Brief

Researchers at the University of California, Davis conducted a review of practices in curbside management, and they conducted simulations to evaluate the impact of different management and design strategies on travel time, congestion, vehicle travel, and emissions in residential, commercial, and mixed-use neighborhoods in San Francisco.

Data from: Congestion reduction through efficient container movement under stochastic demand

Research Product Type

Data

The data from this project is primarily randomly generated data sets and demand data for containers near the San Pedro Ports.

Dataset: Fighting for curb space: Micro-simulation

Research Product Type

Data

This data contains the GIS information of the three study areas from the project Fighting for Curb Space, as well as the SUMO scripts.