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Haiqiang Yang and Zihan Li
The objective imbalance between the taxi supply and demand exists in various areas of the city. Accurately predicting this imbalance helps taxi companies with dispatching, thereby increasing their profits and meeting the travel needs of residents. The ap...
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Tulio Silveira-Santos, Anestis Papanikolaou, Thais Rangel and Jose Manuel Vassallo
App-based ride-hailing mobility services are becoming increasingly popular in cities worldwide. However, key drivers explaining the balance between supply and demand to set final prices remain to a considerable extent unknown. This research intends to un...
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Chunlei Mi, Shifen Cheng and Feng Lu
Predicting taxi-calling demands at the urban area level is vital to coordinate the supply?demand balance of the urban taxi system. Differing travel patterns, the impact of external data, and the expression of dynamic spatiotemporal demand dependence pose...
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Ying Xu and Dongsheng Li
Taxi demand prediction is one of the key factors in making online taxi hailing services more successful and more popular. Accurate taxi demand prediction can bring various advantages including, but not limited to, enhancing user experience, increasing ta...
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Mariam Thomas, Aditya V. Sohoni, K.V. Krishna Rao
Pág. 2408 - 2427
Intercity travel is crucial to the economic development of any nation with air travel demand modeling being a key component in transportation planning. For this study, the university township of IIT Bombay in Mumbai, India is considered to capture the tr...
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