scholarly journals Parallel trajectory similarity joins in spatial networks

2018 ◽  
Vol 27 (3) ◽  
pp. 395-420 ◽  
Author(s):  
Shuo Shang ◽  
Lisi Chen ◽  
Zhewei Wei ◽  
Christian S. Jensen ◽  
Kai Zheng ◽  
...  
Keyword(s):  
Spatial Networks ◽  
Trajectory Similarity ◽  
Similarity Joins

scholarly journals Trajectory similarity join in spatial networks

2017 ◽  
Vol 10 (11) ◽  
pp. 1178-1189 ◽  
Author(s):  
Shuo Shang ◽  
Lisi Chen ◽  
Zhewei Wei ◽  
Christian S. Jensen ◽  
Kai Zheng ◽  
...  
Keyword(s):  
Spatial Networks ◽  
Similarity Join ◽  
Trajectory Similarity

scholarly journals Trajectory Similarity Search in Spatial Networks

2006 ◽  
Author(s):  
Eleftherios Tiakas ◽  
Apostolos Papadopoulos ◽  
Alexandros Nanopoulos ◽  
Yannis Manolopoulos ◽  
Dragan Stojanovic ◽  
...  
Keyword(s):  
Similarity Search ◽  
Spatial Networks ◽  
Trajectory Similarity

Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size

2017 ◽  
Vol 45 (3) ◽  
pp. 508-528 ◽  
Author(s):  
Andres Sevtsuk ◽  
Raul Kalvo
Keyword(s):  
Spatial Configuration ◽  
Analysis Tool ◽  
Spatial Networks ◽  
Urban Network ◽  
Household Level ◽  
New Town ◽  
New Towns ◽  
Public Facilities ◽  
User Access ◽  
Retail Demand

We introduce a version of the Huff retail expenditure model, where retail demand depends on households’ access to retail centers. Household-level survey data suggest that total retail visits in a system of retail centers depends on the relative location pattern of stores and customers. This dependence opens up an important question—could overall visits to retail centers be increased with a more efficient spatial configuration of centers in planned new towns? To answer this question, we implement the model as an Urban Network Analysis tool in Rhinoceros 3D, where facility patronage can be analyzed along spatial networks and apply it in the context of the Punggol New Town in Singapore. Using fixed household locations, we first test how estimated store visits are affected by the assumption of whether shoppers come from homes or visit shops en route to local public transit stations. We then explore how adjusting both the locations and sizes of commercial centers can maximize overall visits, using automated simulations to test a large number of scenarios. The results show that location and size adjustments to already planned retail centers in a town can yield a 10% increase in estimated store visits. The methodology and tools developed for this analysis can be extended to other context for planning and right-sizing retail developments and other public facilities so as to maximize both user access and facilities usage.

A comparative analysis of trajectory similarity measures

2021 ◽  
pp. 1-27
Author(s):  
Yaguang Tao ◽  
Alan Both ◽  
Rodrigo I. Silveira ◽  
Kevin Buchin ◽  
Stef Sijben ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Similarity Measures ◽  
Trajectory Similarity

Vehicle Trajectory Similarity

2020 ◽  
Vol 53 (5) ◽  
pp. 1-32
Author(s):  
Roniel S. De Sousa ◽  
Azzedine Boukerche ◽  
Antonio A. F. Loureiro
Keyword(s):  
Trajectory Similarity ◽  
Vehicle Trajectory

Disintegrating spatial networks based on region centrality

2021 ◽  
Vol 31 (6) ◽  
pp. 061101
Author(s):  
Zhi-Gang Wang ◽  
Ye Deng ◽  
Ze Wang ◽  
Jun Wu
Keyword(s):  
Spatial Networks
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