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. During holidays, the train dispatching is to meet passenger demand to the greatest extent, and ensure safety, speediness and … punctuality of the train operation. In this paper, a fuzzy passenger demand forecasting model is put up, then a train dispatching … optimization model is established based on passenger demand so as to evacuate stranded passengers effectively during holidays …
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financial crisis, modeling and forecasting mortgage demand and subsequent approvals have become a central issue in the banking …, specifically the demand for mortgages measured by new mortgage approvals, and whether or how models of this market can be improved …
Persistent link: https://www.econbiz.de/10012030090
Behavioral changes due to digitalization, such as telework, shifted energy demand, especially during COVID-19 …. Behavioral changes are often overlooked in macro-demand forecasts. This study forecasts macro-energy use to 2030 using American … that improved efficiency had the largest effect on energy demand per capita in all sectors from 2003-2019. The time …
Persistent link: https://www.econbiz.de/10014576007
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Frequency of services and vehicle size are important policyinstruments of railway companies. Extending Mohring's basic'square root model' for frequencies, we arrive at more generalformulations for frequency, vehicle size and price underalternative regimes of welfare and profit optimisation. It...
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demand. …
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Stated preference (SP) surveys have been conducted to value non-timber benefits (NTBs) from forests in Norway, Sweden and Finland for about 20 years. The paper first reviews the literature and summarises methodological traditions in SP research in the three countries. Second, a meta-regression...
Persistent link: https://www.econbiz.de/10014213234