Similar Search Results

Application of artificial neural networks in predicting the degradation of tram tracks using maintenance data

Moridpour, Sara; Mazloumi, Ehsan; Hesami, Reyhaneh - In: Applied big data analytics in operations management, (pp. 30-54). 2017

Persistent link: https://www.econbiz.de/10011583693

Estimating the Gains from New Rail Transit Investment : A Machine Learning Tree Approach

Chin, Seungwoo - 2017

Urban rail transit investments are expensive and irreversible. Since people differ with respect to their demand for trips, their value of time, and the types of real estate they live in, such projects are likely to offer heterogeneous benefits to residents of a city. Using the opening of a major...

Persistent link: https://www.econbiz.de/10012455355

Estimating the Gains from New Rail Transit Investment : A Machine Learning Tree Approach

Chin, Seungwoo - 2017

Persistent link: https://www.econbiz.de/10012957703

Estimating the Gains from New Rail Transit Investment : A Machine Learning Tree Approach

Chin, Seungwoo - 2017

Persistent link: https://www.econbiz.de/10012958589

Can building subway systems improve air quality? : new evidence from multiple cities and machine learning

Xie, Lunyu; Zou, Tianhua; Linn, Joshua; Yan, Haosheng - In: Environmental and resource economics 87 (2024) 4, pp. 1009-1044

Persistent link: https://www.econbiz.de/10014637598

Artificial intelligence and jobs : evidence from US commuting zones

Bonfiglioli, Alessandra; Crinò, Rosario; Gancia, Gino … - 2023

We study the effect of Artificial Intelligence (AI) on employment across US commuting zones over the period 2000 … estimate robust negative effects of AI exposure on employment across commuting zones and time. We find that AI's impact is …

Persistent link: https://www.econbiz.de/10014383286