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- W605670967 abstract "The space-time prism is a key concept in time geography and geographic information science that captures both spatial and temporal constraints on an object’s potential mobility. For mobility within spatial networks such as transportation systems, network-time prisms (NTPs) delimit accessible locations in network space with respect to time given scheduling constraints, movement constraints and speed limits imposed by the network. The boundary of a NTP has been used as a measure of individuals’ accessibility to a network and opportunities in that network. However, the interior structure of NTPs has lacked quantitative characterization, including the distribution of visit probabilities at accessible locations. Intuitively, locations along the shorter routes are more likely to be visited than those along circuitous routes, since they provide more available time and higher flexibility. This paper models visit probabilities within NTPs using the continuous-time semi-Markov process. The authors simulate visit probabilities using Python and ArcPy, visualize these distributions using ESRI ArcGIS, and compare them with empirical probabilities derived from GPS trajectories in New York City, USA. The visit probabilities provide a quantitative description of individuals’ potential mobility within a NTP and a foundation for developing the refined accessibility benefit and cost measures that go beyond the binary nature of classical NTPs." @default.
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- W605670967 date "2015-01-01" @default.
- W605670967 modified "2023-09-26" @default.
- W605670967 title "Modeling Visit Probabilities Within Network Time Prisms Using Continuous-Time Semi-Markov Techniques" @default.
- W605670967 hasPublicationYear "2015" @default.
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