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 …

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 …

In his original 1965 article, Christopher Alexander argued that master planned cities
ultimately failed because the designs elaborated followed a tree structure as opposed to a …

How will urban infrastructure systems (UIS) be planned in future cities? In the twenty-first
century, cities will need to overcome many challenges. They will need to accommodate a …

Climate change will impact urban infrastructure networks by changing precipitation patterns
in a region. This study presents a novel vulnerability assessment framework for infrastructure …

The United Nation's sustainable development goals (SDGs) are interconnected and
indivisible and need to be addressed in a systematic and holistic way. However, a lack of …

This article presents a method to uncover universal patterns and similarities in the urban
road networks of the 80 most populated cities in the world. To that end, we used degree …

With the current proliferation of data, the proficient use of statistical and mining techniques
offer substantial benefits to capture useful information from any dataset. As numerous …

The literature on climate change research has evolved tremendously since the 1990s. The
goal of this study is to use text mining to review the climate change literature and study the …

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