Ridesharing Evacuation Model of Disaster Response

03/28/2021
by   Lingyu Meng, et al.
0

Timely evacuation is crucial to disaster response, as people can avoid suffering and loss of lives when a major disaster happens. With the development of sharing economy, ridesharing has the advantage of reducing congestion, saving travel time, and optimizing transportation mode to improve disaster evacuation efficiency. The paper proposes to integrate the concept of ridesharing into evacuation and develops a mixed integer programming model for this problem. A real world case study based on Houston is used to validate the proposed model. A series of instances are designed to compare the evacuation efficiency using two indicators, evacuation percentage (EP) and average travel distance (ATD). Results reveal that increasing the number of vehicles to help carless individuals might not be the most efficient method in this model. Moreover, this model offers a specific response strategy based on different disaster scales, which not only develops a better evacuation plan for the people but also provides relief agencies insights on resource utilization.

READ FULL TEXT
research
02/08/2019

Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach

Recent years have witnessed an increased focus on interpretability and t...
research
03/07/2023

Scale Effects in Ridesplitting: A Case Study of the City of Chicago

Ridesplitting – a type of ride-hailing in which riders share vehicles wi...
research
04/23/2020

Inference for travel time on transportation networks

Travel time is essential for making travel decisions in real-world trans...
research
06/30/2023

Mixed Integer Programming for Time-Optimal Multi-Robot Coverage Path Planning with Efficient Heuristics

We investigate time-optimal Multi-Robot Coverage Path Planning (MCPP) fo...
research
01/02/2013

Applying Strategic Multiagent Planning to Real-World Travel Sharing Problems

Travel sharing, i.e., the problem of finding parts of routes which can b...
research
10/27/2020

GMACO-P: GPU assisted Preemptive MACO algorithm for enabling Smart Transportation

Vehicular Ad-hoc NETworks (VANETs) are developing at a very fast pace to...
research
08/25/2020

Modeling and Analysis of Excess Commuting with Trip Chains

Commuting, like other types of human travel, is complex in nature, such ...

Please sign up or login with your details

Forgot password? Click here to reset