Uncovering Spatio-temporal Travel Patterns Using a Tensor-based Model from Metro Smart Card Data in Shenzhen, China

Individual mobility patterns are an important factor in urban traffic planning and traffic flow forecasting. How to understand the spatio-temporal distribution of passengers deeply and accurately, so as to provide theoretical support for the planning and operation of the metro network, is an urgent issue of wide concern. In this paper, we applied NCP decomposition to uncover the characteristics of travel patterns from temporal and spatial dimensions in the metro network of Shenzhen City. Utilizing matrix factorization and correlation analysis, we extracted several stable components from the collective mobility and find that the departure and arrival mobility patterns have different characteristics in both the temporal and spatial dimension. According to the point of interest (POI) data in the Shenzhen City, the function attributes of the station are identified and then we found that the spatial distribution characteristics of different patterns are different. We explored the distribution of travel time classified according to the spatio-temporal characteristics of stable patterns. The proposed method can decompose stable travel patterns from the collective mobility and the results in this study can help us to better understand different mobility patterns in both spatial and temporal dimensions.

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Disasters: Spatio-Temporal Distribution of Dhankuta District, Nepal

Rupantaran: A Multidisciplinary Journal ◽

10.3126/rupantaran.v3i0.31746 ◽

2020 ◽

Vol 3 ◽

pp. 93-107

Author(s):

Tika Ram Linkha

Keyword(s):

Disaster Preparedness ◽

Heavy Rainfall ◽

Temporal Distribution ◽

Secondary Data ◽

Spatial Dimension ◽

Temporal And Spatial Distribution ◽

Disaster Data ◽

Temporal And Spatial ◽

Spatio Temporal ◽

The Impact

This paper attempts to analyze the temporal and spatial distribution of disaster in Dhanktua district, Nepal. It provides information regarding when and where the disasters have mostly occurred in Dhankuta. Disaster can occur at any time at anywhere although every disaster has a temporal and spatial dimension which helps to predict the future events In this context, this paper provides the history and trend of disasters in Dhankuta. This paper is based on mostly secondary data extracted from the Ministry of Home Affairs, Disaster Risk Reduction (DRR) Portal. To analyze this, mostly descriptive methods has been applied where the quantitative method also applied for the reflection of disaster data. Fire, landslide, heavy rainfall and thunderbolt were the major disasters that frequently occurred in this district during 2017-2019. It is found that fire incidents were frequently occurred in the month of March, the landslide in July, heavy rainfall in July and thunderbolt in April. It is interesting that, those years where the incidents of fire were higher the incidents of the landslide were low and vice versa and there is a positive relationship between landslide and heavy rainfall. This study will important to local levels and relevant agencies for disaster preparedness because the impact of the disaster is based on the level of preparedness. This analysis is based on limited data which covered 10 March 2017 to 31 December 2019. This study provides a new perspective in the field of disaster where temporal and spatial dimensions are considered.

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Spatio-Temporal Distribution of Carabids Influenced by Small-Scale Admixture of Oak Trees in Pine Stands

Diversity ◽

10.3390/d12100398 ◽

2020 ◽

Vol 12 (10) ◽

pp. 398

Author(s):

Alexandra Wehnert ◽

Sven Wagner ◽

Franka Huth

Keyword(s):

Linear Models ◽

Interspecific Interactions ◽

Temporal Distribution ◽

Quercus Petraea ◽

Small Scale ◽

Spatial Effects ◽

Oak Trees ◽

Geostatistical Models ◽

Temporal And Spatial ◽

Spatio Temporal

In a region with poor soil fertility, low annual precipitation and large areas of homogenous Pinus sylvestris L. forests, conservation of old sessile oak (Quercus petraea (Matt.) Liebl.) trees is one option to enrich structure and species richness. We studied the affinities of Carabus coriaceus, C. violaceus, C. hortensis and C. arvensis for specific tree species and the resultant intra- and interspecific interactions. We focused on their temporal and spatial distributions. Pitfall traps were used as a surface-related capture method on a grid over an area of three hectares. Generalised linear models and generalised linear geostatistical models were used to analyse carabid activity densities related to distance-dependent spatial effects corresponding to tree zones (oak, oak–pine, pine). The results demonstrated significant spatial affinities among these carabids, especially for females and during the period of highest activity. Individuals of C. coriaceus showed a tendency to the oak zone and C. hortensis exhibited a significant affinity to the oak–pine mixture. Imagines of C. arvensis and C. violaceus were more closely related to pine. The observed temporal and spatial coexistence of the different Carabus species reveals that single admixed old oak trees can support greater diversity within pine-dominated forests.

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Analysis on the Spatio-Temporal Distribution Characteristics of Atmospheric Dustfall in Jinan City

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.1587 ◽

2014 ◽

Vol 955-959 ◽

pp. 1587-1590

Author(s):

Fen Zhao ◽

Li Rong Xu

Keyword(s):

Spatial Distribution ◽

Temporal Distribution ◽

Ecological Environment ◽

Distribution Characteristics ◽

Spring Season ◽

Temporal And Spatial Distribution ◽

Jinan City ◽

Temporal And Spatial ◽

Spatio Temporal ◽

One Year

The data of 116 atmospheric dust monitoring points in Jinan from 2009 to 2012 were analyzed. The average annual atmospheric dustfall was maintained at 10.47 to 14.34 t•km-2•month-1, and the change was less than 15.14%. Within one year, the atmospheric dustfall was mainly concentrated in the spring season (March to May), accounting for 27.72% to 33.44% of the annual dustfall. The lowest dustfall was concentrated in September to November. The dustfall in Jinan City was generally in a decreasing trend. The dustfall of each district is different from one another, the arrangement of 6 districts in Jinan is Huaiyin> Tianqiao> Shizhong> Licheng> Lixia>Changqing. Special meteorological and ecological environment are the mainly factors to influence temporal and spatial distribution of the dustfall in Jinan.

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Spatio-temporal dynamics of web pages diffused in WeChat

Information Discovery and Delivery ◽

10.1108/idd-05-2017-0044 ◽

2017 ◽

Vol 45 (3) ◽

pp. 139-148 ◽

Cited By ~ 2

Author(s):

Liang Liu ◽

Bin Chen ◽

Wangchun Jiang ◽

Lingnan He ◽

Xiaogang Qiu

Keyword(s):

Information Diffusion ◽

Temporal Dynamics ◽

Web Pages ◽

Content Type ◽

Diffusion Velocity ◽

Significant Difference ◽

Temporal And Spatial ◽

Spatio Temporal ◽

Temporal Dimensions ◽

Data Driven Modeling

Purpose WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials. Design/methodology/approach A large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored. Findings Through comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions. Originality/value These findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.

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