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Yi-Chang Chen, Shih-Ming Kuo, Yonglin Liu, Zeqiong Wu and Fang Zhang
Most of the growth forecasts in analysts? evaluation reports rely on human judgment, which leads to the occurrence of bias. A back-propagation neural network (BPNN) is a financial technique that learns a multi-layer feedforward network. This study aims t...
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Dung David Chuwang and Weiya Chen
Forecasting daily and weekly passenger demand is a key fundamental process used by existing urban rail transit (URT) station authorities to diagnose operational problems and make decisions about train schedule patterns to improve operational efficiency, ...
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Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
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Francesco Branda, Fabrizio Marozzo and Domenico Talia
In recent years, the demand for collective mobility services registered significant growth. In particular, the long-distance coach market underwent an important change in Europe, since FlixBus adopted a dynamic pricing strategy, providing low-cost transp...
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Tesa Eranti Putri,Aji Akbar Firdaus,Wilda Imama Sabilla
Pág. 96 - 105
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Yong Zhao, Huimin Zhao
Pág. 2949 - 2956
As a unique practice in travel demand modeling, traffic and revenue forecasting for toll facilities require highly accurate traffic projection. Explicit and rigorous statistical recognition of uncertainty in toll studies will mitigate the risk in plannin...
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Bruce D McDonald, III
Pág. 3 - 17
A ?dirty forecast? refers to any forecast conducted where non-traditional, coincident indicators are included. These coincident indicators tell us about the behavior within an environment in the here and now rather than measure the environment itself. By...
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Karin Kandananond
Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods?autoregressive integrated...
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Afita Lianawati
Pág. 212 - 222
Tujuan penelitian ini untuk menganalisis bagaimana tingkat efektivitas dan konstribusi penerimaan pajak BPHTB terhadap PAD di Kabupaten Semarang setelah pengalihan 2011-2014. Metode analisis data menggunakan analisis pertumbuhan pajak BPHTB selama dipung...
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