A semantic spatio-temporal model for the modelization of mobilities in urban setting

被引：0
作者：
Jin, Meihan [1 ]
Claramunt, Christophe [2 ]
机构：
[1] Harbin Inst Technol, Sch Architecture & Urban Planning, HIT Campus, Shenzhen, Peoples R China
[2] Ecole Navale, Inst Rech, BCRM Brest, IRENav, CC 600, Lanveoc, France
来源：
REVUE INTERNATIONALE DE GEOMATIQUE | 2018年 / 28卷 / 03期
关键词：
urban trajectories; spatio-temporal data modeling; spatio-temporal database;
D O I：
10.3166/rig.2018.00059
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
The research presented in this paper introduces a conceptual modeling and database management approach for representing and analyzing human trajectories in urban spaces. The model considers the spatial, temporal and semantic dimensions in order to take into account the full range of properties that emerge from mobility patterns. Several object data types and data manipulation constructs are developed and experimented on top of an urban dataset testbed currently available in the city of Beijing. The interest of the approach is twofold: first, it clearly appears that very large mobility datasets can be integrated in current extensible GIS; secondly, significant patterns can be derived at the database manipulation level using some specifically developed query functions.
引用
收藏
页码：311 / 338
页数：28
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