Exploring Hourly Travel Demand Patterns under Various Land Uses: Cellular Data Application

抄録

Urban rezoning and redevelopment may change the type and amount of activities and travel demand, furthermore, it may affect the performance of transportation systems. Therefore, it is essential to understand the effect of land use on travel demand. Based on this, this study aims to explore the hourly travel demand patterns under various land uses. Additionally, this study uses cellular signal data for hourly origin-destination matrices, based on the zoning of villages. Three models for trip departures and arrivals are developed and compared. A case study based in Taipei City shows that the daily model (daily trip and time-of-day clustering patterns) performs best in terms of the accuracy of predictions of travel demand. Model results show that travel pattern and demand are highly related to land use. These results provide an evidence base upon which operators, planners and government sectors will be able to plan for future cities and to predict travel demand. This can be achieved by taking land use impacts into consideration.