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Ju Peng, Huimin Liu, Jianbo Tang, Cheng Peng, Xuexi Yang, Min Deng and Yiyuan Xu
As a hot research topic in urban geography, spatiotemporal interaction analysis has been used to detect the hotspot mobility patterns of crowds and urban structures based on the origin-destination (OD) flow data, which provide useful information for urba...
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Xuyu Feng, Jianhua Yu, Zihan Kan, Lin Zhou, Luliang Tang and Xue Yang
With the advent of the information age and rapid population growth, the urban transportation environment is deteriorating. Travel-route planning is a key issue in modern sustainable transportation systems. When conducting route planning, identifying the ...
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Changfeng Jing, Yanru Hu, Hongyang Zhang, Mingyi Du, Shishuo Xu, Xian Guo and Jie Jiang
The identification of urban functional regions (UFRs) is important for urban planning and sustainable development. Because this involves a set of interrelated processes, it is difficult to identify UFRs using only single data sources. Data fusion methods...
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Yeran Sun, Yinming Ren and Xuan Sun
Recently, Uber released datasets named Uber Movement to the public in support of urban planning and transportation planning. To prevent user privacy issues, Uber aggregates car GPS traces into small areas. After aggregating car GPS traces into small area...
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Di Lv, Yong Zhang, Jiongbin Lin, Peiyuan Wan and Yongli Hu
More and more people in mega cities are choosing to travel by public transportation due to its convenience and punctuality. It is widely acknowledged that there may be some potential associations between passengers. Their travel behavior may be working t...
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Nashid K. Khadem, Md Muhib Kabir, Snehanshu Banerjee and Mansoureh Jeihani
In contemporary times, bike sharing programs are gaining importance as an influential transportation mode in both urban and rural areas. They are also used as a vital transportation mode on university campuses which serve as a healthy and environmentally...
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Hao Wu, Lingbo Liu, Yang Yu, Zhenghong Peng, Hongzan Jiao and Qiang Niu
The commute of residents in a big city often brings tidal traffic pressure or congestions. Understanding the causes behind this phenomenon is of great significance for urban space optimization. Various spatial big data make the fine description of urban ...
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Peter Horbachov, Stanislav Svichynskyi
Modern approaches to the modeling of transport demand imply the use of calibration procedures during the origin-destination (O-D) matrix estimation or transit assignment. These procedures lead to misrepresenting generated and attracted trips or changing ...
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Anselmo Ramalho Pitombeira Neto,Francisco Moraes Oliveira Neto,Carlos Felipe Grangeiro Loureiro
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Reza Tolouei, Stefanos Psarras, Rawle Prince
Pág. 39 - 52
Conventionally, trip matrices have been derived by a combination of roadside interviews (RSIs) and the application of trip-end and gravity models (to extrapolate and infill unobserved movements), followed by matrix estimation methods to incorporate evide...
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