Evolution of the concept of ecological integrity and its study through networks

C González - Ecological Modelling, 2023 - Elsevier
Evaluating the state of ecosystems is a major concern for humanity. For that purpose, the
concept of ecological integrity has been present in both public policy and academia for …

Comparison of four types of artificial neural network and a multinomial logit model for travel mode choice modeling

D Lee, S Derrible, FC Pereira - Transportation Research …, 2018 - journals.sagepub.com
Discrete choice modeling is a fundamental part of travel demand forecasting. To date, this
field has been dominated by parametric approaches (eg, logit models), but non-parametric …

The state of carbon footprint calculators: An evaluation of calculator design and user interaction features

J Mulrow, K Machaj, J Deanes, S Derrible - Sustainable Production and …, 2019 - Elsevier
The individual carbon footprint has become a widely used concept for communicating both
the causes of climate change and the many opportunities to reduce greenhouse gas …

Industrial symbiosis at the facility scale

JS Mulrow, S Derrible, WS Ashton… - Journal of Industrial …, 2017 - Wiley Online Library
Industrial symbiosis (IS), as a subfield of industrial ecology, is concerned with cooperation
among industrial firms in managing resources, particularly by‐products, such that the waste …

Potentials and limitations of complexity research for environmental sciences and modern farming applications

K Mallinger, S Raubitzek, T Neubauer… - Current Opinion in …, 2024 - Elsevier
Open system analysis is prone to the oversimplification of dynamics due to tightly coupled
variables and their nonlinear, complex, and often unpredictable behavior. By assessing the …

The role of travel demand and network centrality on the connectivity and resilience of an urban street system

M Akbarzadeh, S Memarmontazerin, S Derrible… - Transportation, 2019 - Springer
In the transportation literature, two major and parallel approaches exist to identify the critical
elements of a transportation system. On the one hand, conventional transportation …

Attitudes on autonomous vehicle adoption using interpretable gradient boosting machine

D Lee, J Mulrow, CJ Haboucha… - Transportation …, 2019 - journals.sagepub.com
This article applies machine learning (ML) to develop a choice model on three choice
alternatives related to autonomous vehicles (AV): regular vehicle (REG), private AV (PAV) …

Predicting residential water demand with machine-based statistical learning

D Lee, S Derrible - Journal of Water Resources Planning and …, 2020 - ascelibrary.org
Predicting residential water demand is challenging because of two technical questions:(1)
which data and variables should be used and (2) which modeling technique is most …

Measuring resilience of human–spatial systems to disasters: Framework combining spatial-network analysis and fisher information

Y Wang, JE Taylor, MJ Garvin - Journal of Management in …, 2020 - ascelibrary.org
Improving urban resilience to disasters becomes well-recognized in both industry and
academia, but resilience remains challenging to be operationalized, especially in complex …

Ecosystem antifragility: beyond integrity and resilience

M Equihua, ME Aldama, C Gershenson… - PeerJ, 2020 - peerj.com
We review the concept of ecosystem resilience in its relation to ecosystem integrity from an
information theory approach. We summarize the literature on the subject identifying three …