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 …
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 (IS), as a subfield of industrial ecology, is concerned with cooperation among industrial firms in managing resources, particularly by‐products, such that the waste …
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 …
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 …
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) …
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 …
Improving urban resilience to disasters becomes well-recognized in both industry and academia, but resilience remains challenging to be operationalized, especially in complex …
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 …