How to understand individual human actions is a fundamental question to modern science, which drives and incurs many social, technological, racial, religious and economic phenomena. Human dynamics tries to reveal the temporal pattern and internal mechanism of human actions in letter or electronic communications, from the perspective of continuous interactions among friends or acquaintances. For...

background: taxi drivers are exposed to various risk factors such as work overload, stress, an irregular diet, and a sedentary lifestyle, which make these individuals vulnerable to many diseases. this study was designed to assess the health status of this occupational group. objectives: the objective was to explore the health status, the intention to seek health examination, and participation i...

Many studies have reported that stress affects the immune system. It is known that professional drivers are exposed to various forms of job-related stress. The aim of the present study was to investigate the job stress of taxi drivers based on the mitogen responses and cytokine production of peripheral blood lymphocytes (PBMC), combined with interviews on lifestyles and income. We examined rand...

To enhance fleet operation and management, taxi operators instrument their vehicles with GPS receivers and network connectivity to servers. Mobility traces from such large fleets provide significant information on commuter travel patterns, traffic congestion and road anomalies, and hence several researchers have mined such datasets to gain useful urban insights. The fleet companies, however, in...

Detecting regional spatial structures based on spatial interactions is crucial in applications ranging from urban planning to traffic control. In the big data era, various movement trajectories are available for studying spatial structures. This research uses large scale Shanghai taxi trip data extracted from GPS-enabled taxi trajectories to reveal traffic flow patterns and urban structure of t...

It will be most efficient to frame operation strategies before actual taxi demand is revealed. But this is challenging due to limited knowledge of the taxi demand distribution in immediate future and is more prone to prediction errors. In this study, we develop the boosting Gaussian conditional random field (boosting-GCRF) model to accurately forecast the short-term taxi demand distribution usi...

Predicting taxi demand throughout a city can help to organize the taxi fleet and minimize the wait-time for passengers and drivers. In this paper, we propose a sequence learning model that can predict future taxi requests in each area of a city based on the recent demand and other relevant information. Remembering information from the past is critical here since taxi requests in the future are ...

Much of the taxi route-planning literature has focused on driver strategies for finding passengers and determining the hot spot pick-up locations using historical global positioning system (GPS) trajectories of taxis based on driver experience, distance from the passenger drop-off location to the next passenger pick-up location and the waiting times at recommended locations for the next passeng...

Adverse accounts of wheelchair user's experience of the taxi service have been reported. It is not clear whether these experiences are "once off" or reflect those of the user group. Wheelchair users living in cities throughout Ireland were surveyed. Of 306 questionnaires a response rate of 40.3% was achieved. Nearly 50% felt they had been refused a taxi because of their condition. Fifty one per...

This research involves the study of the existing taxi dispatch system employed by taxi operators in Singapore to handle current bookings. This dispatch system adopts the Global Positioning Systems (GPS), and is based on the nearest-coordinate method, i.e. the taxi assigned for each booking is the one with the shortest, direct, straight-line distance to the customer location. However, the taxi a...