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Ai-Sheng Wang, Zhang-Cai Yin and Shen Ying
The possibility of moving objects accessing different types of points of interest (POIs) at specific times is not always the same, so quantitative time geography research needs to consider the actual POI semantic information, including POI attributes and...
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Zhangcai Yin, Yuan Chen and Shen Ying
Time geography considers that the motion of moving objects can be expressed using space?time paths. The existing time geography methods construct space-time paths using discrete trajectory points of a moving point object to characterize its motion patter...
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Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim and Ana Stanescu
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using...
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Katherine Ho and Rebecca Loraamm
Animal movements are realizations of complex spatiotemporal processes. Central to these processes are the varied environmental contexts in which animals move, which fundamentally impact the movement trajectories of individuals at fine spatial and tempora...
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Zhangcai Yin, Kuan Huang, Shen Ying, Wei Huang and Ziqiang Kang
Time geography considers that the probability of moving objects distributed in an accessible transportation network is not always uniform, and therefore the probability density function applied to quantitative time geography analysis needs to consider th...
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David J. Hoelzel, Joachim Scheiner
Pág. 207 - 229
Several authors delineate ?geographies of opportunity,? which are assumed to influence individual life courses. In transport geography and related subjects, ?opportunity? is a term that is frequently used to circumscribe dynamics of spatial and social mo...
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Guangwen Song, Chunxia Zhang, Luzi Xiao, Zhuoting Wang, Jianguo Chen and Xu Zhang
The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature has taken it as a homogenous group and seldom explored the varied impacts of different kinds of ambient populations on thefts. ...
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Chang Ren, Luliang Tang, Jed Long, Zihan Kan and Xue Yang
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at ...
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Deepak Elias and Bart Kuijpers
Space?time prisms are used to model the uncertainty of space?time locations of moving objects between (for instance, GPS-measured) sample points. However, not all space?time points in a prism are equally likely and we propose a simple, formal model for t...
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Zhang-Cai Yin, Zhang-Hao-Nan Jin, Shen Ying, Hui Liu, San-Juan Li and Jia-Qiang Xiao
Probabilistic time geography uses a fixed distance threshold for the definition of the encounter events of moving objects. However, because of the distance-decay effect, different distances within the fixed threshold ensure that the encounter events do n...
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