Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings

by   Zhengbo Zou, et al.

Continuous construction and rehabilitation in urban settings have unavoidable impacts on arrival times of first responders to emergency locations. Current research efforts on emergency response assessments focus on case studies, where specific periods (e.g., super storm Sandy) of emergency response times are analyzed. Simulation based studies that aim to evaluate response times in relation to various constraints/fleet sizes also exist. However, they do not analyze how specific changes (e.g., new and ongoing construction projects) in urban settings impact emergency response times of first responders. This paper aims to fill the gap and proposes a novel approach to predict the expected emergency response time for a given location using the fabric of zones regarding construction activities. This approach relies on historical records of emergency response and construction permits issued by city agencies. The approach first defines the signature of a zone (by zip codes) for construction activities based on the distribution of historical construction work types permitted in that zone over time. Then, zones that share similar signatures are clustered to find if there exists a relationship between construction signatures and emergency response times. Next, supervised learning algorithms are deployed to predict the average emergency response times for each cluster. The approach was tested using New York City's construction permit and emergency response records, and can be easily replicated for other cities with similar public datasets. This study serves as the first step towards quantitatively understanding construction projects' impact on a quality of life (QoL) indicator (specifically emergency response times) in urban settings.



There are no comments yet.


page 1

page 2

page 6


Leveraging Data Driven Approaches to Quantify the Impact of Construction Projects on Urban Quality of Life

According to the World Bank, more than half of the world's population no...

Emergency Equity: Access and Emergency Medical Services in San Francisco

In 2020, California required San Francisco to consider equity in access ...

A Dynamic Simulation-Optimization Model for Adaptive Management of Urban Water Distribution System Contamination Threats

Urban water distribution systems hold a critical and strategic position ...

A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models

Emergency response to incidents such as roadway accidents is one of the ...

Robustness of urban road networks based on spatial topological patterns

During the last decade, road network vulnerability assessment has receiv...

Comprehensive Performance Evaluation of LID Practices for the Sponge City Construction: A Case Study in Guangxi, China

Sponge city construction is a new concept of urban stormwater management...

Modelling Metropolitan-area Ambulance Mobility under Blue Light Conditions

Actions taken immediately following a life-threatening personal health i...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.