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Sybil Derrible

Professor (Engineering)

University of Illinois Chicago

Sybil Derrible is Professor of Urban Engineering and Director of the Complex and Sustainable Urban Networks (CSUN) Laboratory at the University of Illinois Chicago (UIC). He is a world-renowned scholar on infrastructure and Lead Author of the United Nations Environmental Program (UNEP) Seventh Global Environment Outlook (GEO-7) report.


Derrible is the recipient of a US National Science Foundation (NSF) CAREER Award and a Walter L. Huber Civil Engineering Research Prize from the American Society of Civil Engineers (ASCE). He was also an invited participant to the National Academy of Engineering (NAE) Grainger Foundations Frontiers of Engineering Symposium in 2023. Since 2019, he has been recognized in the top 2% researchers in his field for career and single-year impact by Elsevier.


Derrible has published over one hundred publications. He is the author of the textbook "Urban Engineering for Sustainability" (MIT Press, 2019) and the popular science book "The Infrastructure Book: How Cities Work and Power Our Lives" (Prometheus Books 2025).

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Publications

  • Analyzing travel behavior in Hanoi using Support Vector Machine
  • Depopulation and associated challenges for US cities by 2100
  • A Geometric Classification of World Urban Road Networks
  • Residential Electricity Consumption Patterns and their Relationship to Commute Times by Mode
  • Smart Cities: Infrastructure, Air Quality, Disaster Response, and Data Management
  • Interrelationships between electricity, gas, and water consumption in large‐scale buildings
  • Interdependencies between Urban Transport, Water, and Solid Waste Infrastructure Systems
  • Interrelationships between urban travel demand and electricity consumption: a deep learning approach
  • Manifestation of Coupled Geometric Complexity in Urban Road Networks
  • CIGOS 2019 Innovation for Sustainable Infrastructure
  • Urban Infrastructure: Reflections for 2100
  • A Clustering Analysis of Energy and Water Consumption in U.S. states from 1985 to 2015
  • Urban Metabolism
  • Machine learning based tool for identifying errors in CAD to GIS converted data
  • Urban Carbon Management Strategies
  • Peace Day in Saint Pierre and Miquelon – July 14, 2100
  • Attitudes on Autonomous Vehicle Adoption using Interpretable Gradient Boosting Machine
  • Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
  • A Review of Building Energy Benchmarking Policies Across the U.S. Cities
  • Infrastructure Resilience to Climate Change
  • The state of carbon footprint calculators: An evaluation of calculator design and user interaction features
  • Predicting Residential Water Demand with Machine-Based Statistical Learning
  • Sociotechnical convex hulls and the evolution of transportation activity: A method and application to US travel survey data
  • Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data
  • A gradient boosting approach to understanding airport runway and taxiway pavement deterioration
  • Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
  • Is slower more sustainable? The role of speed in achieving environmental goals
  • A text mining analysis of the climate change literature in industrial ecology
  • Smart Data Management of Urban Infrastructure Using Geographic Information Systems
  • Attitudes on Autonomous Vehicle Adoption using Interpretable Gradient Boosting Machine
  • Real-time accident detection: Coping with imbalanced data
  • An approach to designing sustainable urban infrastructure
  • Seven Approaches to Manage Complex Coupled Human and Natural Systems: A Sustainability Toolbox
  • Interrelated Patterns of Electricity, Gas, and Water Consumption in Large-Scale Buildings
  • Integration of multi-objective spatial optimization and data-driven interpretation to direct the city-wide sustainable promotion of building-based decentralized water technologies
  • Real-Time Passenger Train Delay Prediction Using Machine Learning: A Case Study With Amtrak Passenger Train Routes
  • GTdownloader: A Python Package to Download, Visualize, and Export Georeferenced Tweets From the Twitter API
  • COVID-19 related Attitudes and Risk Perceptions across Urban, Rural, and Suburban Areas in the United States
  • How Stable Are Transport-Related Attitudes over Time?
  • A database of travel-related behaviors and attitudes before, during, and after COVID-19 in the United States
  • Learning from Hanoi to imagine the future of water distribution
  • The C2G Framework to Convert Infrastructure Data from Computer-Aided Design (CAD) to Geographic Information Systems (GIS)
  • Energy-Material Cycles: A materials-based perspective of vehicle energy systems
  • Environmental Justice through Community-Policy Participatory Partnerships
  • Three research priorities for just and sustainable urban systems: Now is the time to refocus
  • The potential stickiness of pandemic-induced behavior changes in the United States
  • Regional and global hotspots of arsenic contamination of topsoil identified by deep learning
  • The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel
  • Assessing water circularity in cities: Methodological framework with a case study
  • A survey to investigate transport conditions in depopulating cities in Illinois
  • Comparative Traffic Performance Analysis of Urban Transportation Network Structures
  • A GIS Method For Measuring Road System Resilience to Extreme Events
  • Urban Engineering for Sustainability
  • Greenhouse Gas Mitigation in Developed World Cities
  • Comparison of artificial neural networks and statistical copula-based joint models
  • Exploration of Geometric Complexity in Urban Road Networks
  • An Evaluation of Transportation Network Robustness Against Extreme Flooding: A GIS-based Approach
  • Comparison of Four Types of Artificial Neural Networks and Multinomial Logit Model for Travel Mode Choice Modeling
  • Quantifying the Robustness of Metro Networks
  • Transportation Networks, People, and Buildings: Characterization of Urban System Components
  • GUIDES -– Geospatial Urban Infrastructure Data Engineering Solutions (Demo Paper)
  • A cluster-based joint model of travel mode and departure time choices
  • Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion During Typhoons
  • Predicting Airport Runway and Taxiway Pavement Conditions: A Gradient Boosting Machine Approach
  • Complexity in Industrial Ecology: Models, Analysis, and Actions
  • Leveraging Big Data for the Development of Transport Sustainability Indicators
  • The cost of over-cooling commercial buildings in the United States
  • Development and application of the Pedestrian Environment Index (PEI)
  • Evolution of Public Supply Water Withdrawal in the USA: A Network Approach
  • A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes
  • Network-Based and Binless Frequency Analyses
  • Using Fisher information to assess stability in the performance of public transportation systems
  • Comparative Analysis of Traffic Performance of Urban Transportation Systems
  • A protocol to convert spatial polyline data to network formats and applications to world urban road networks
  • Intersections of Jane Jacobs’ Conditions for Diversity and Low-Carbon Urban Systems: A Look at Four Global Cities
  • Using Fisher information to track stability in multivariate systems
  • Robustness of road systems to extreme flooding: using elements of GIS, travel demand, and network science
  • Complexity Analysis in the Sport of Boxing
  • Multi-dimensional geometric complexity in urban transportation systems
  • Urban infrastructure is not a tree: Integrating and decentralizing urban infrastructure systems
  • Complexity in future cities: the rise of networked infrastructure
  • Stochastic Modeling of Road System Performance during Multihazard Events: Flash Floods and Earthquakes
  • Using Climate Models to Estimate Urban Vulnerability to Flash Floods
  • Joint Discrete-Continuous Model of Travel Mode and Departure Time Choices
  • Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model
  • The role of travel demand and network centrality on the connectivity and resilience of an urban street system
  • Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons
  • Industrial Symbiosis at the Facility Scale
  • Visual Analysis of a Smart City’s Energy Consumption
  • A network-based frequency analysis of Inclusive Wealth to track sustainable development in world countries
  • The Plant—An experiment in urban food sustainability
  • An information theory based robustness analysis of energy mix in US States
  • The need to adapt sustainability audits to atypical business models
  • Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling
  • The New Science of Cities, by Michael Batty. Cambridge, MA, USA: MIT Press, 2013
  • Seeing the forest for the trees
  • Smart Transport Networks: Market Structure, Sustainability and Decision Making, T. Vanoutrive, A. Verhetsel (Eds.)
  • Inside the mind of an engineer
  • Street smart
  • Marc Barthelemy, The structure and dynamics of cities: Urban data analysis and theoretical modeling
  • Complete Streets Designs: A Comparative Emission Impact Analysis
  • Leveraging Big Data for the Development of Transport Sustainability Indicators
  • Light Rail Transit in Toronto: Underground or Above-ground
  • Metro Network Designs: Characteristics, Complexity, and impact on Ridership
  • Characterizing Metro Networks: State, Form, and Structure
  • Chapter 7: Comparison of Strategies
  • Metros as Biological Systems: Complexity in Small Real-life Networks
  • The Four Outcomes of Transit and Land-Use
  • Impact analysis of extreme events on flows in spatial networks
  • Spatial data analysis of complex urban systems
  • How new Technologies can contribute to measuring Sustainable Mobility
  • Macroscopic Greenhouse-gases emissions model of urban transportation for municipalities
  • Using Network Centrality to Determine Key Transfer Stations in Public Transportation Systems
  • The Toronto Metro: History, Demand, and Performance
  • Evaluating, Comparing, and Improving Metro Networks: an application to the Toronto plans
  • Comparing the GTA Transit Plan to major transit networks in the World using Graph Theory concepts
  • A Network Analysis of Subway Systems in the World using Updated Graph Theory
  • Reviewing and assessing the Toronto metro system
  • Applications of Graph Theory and Network Science to Transit Network Design
  • Network Analysis of World Subway Systems Using Updated Graph Theory
  • Network Centrality of Metro Systems
  • The complexity and robustness of metro networks
  • Evaluating, Comparing, and Improving Metro Networks
  • Macroscopic Model of Greenhouse Gas Emissions for Municipalities
  • Book Review: Triumph of the City, Edward Glaeser
  • Estimating Telecommuting Rates in the USA Using Twitter Sentiment Analysis
  • Journal of Infrastructure Systems : Thirty Years and an Opportunity to Refocus
  • Evolution of infrastructure burden for US cities by 2100
  • Global and regional patterns of soil metal(loid) mobility and associated risks

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