Socio-Economic Origin-Destination Matrix Derivation Through Contextualization of Material World

被引:0
作者
Stupar, Ivana [1 ]
Martinjak, Petra [2 ]
Turk, Vjera [3 ]
Filjar, Renato [1 ]
机构
[1] Ericsson Nikola Tesla, Krapinska 45, Zagreb, Croatia
[2] Univ Zagreb, Fac Sci, Dept Math, Zagreb, Croatia
[3] Univ Rijeka, Fac Engn, Rijeka, Croatia
来源
2018 41ST INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) | 2018年
关键词
origin-destination matrix; ODM; socio-economic activities; contextualization; contextualized OD matrix;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An origin-destination matrix contains data about individual and group mobility in a certain spatial area. As such, an origin-destination matrix represents an indicator of urban migrations and commuters' volume and can be used in strategic planning of the observed area. However, the origin-destination matrix does not contain information about the context of the migrations. In this paper we present an approach of expanding the origin-destination matrix data with the spatial data attributes containing information about the socio-economic context of activity's source and target derived from the material world. Origin-destination matrix enriched with such context can be used to gain a better understanding of socioeconomic activities in an observed area, providing an insight to their nature and cause. Knowing the reason behind urban migrations can be useful for various socio-economic purposes. We describe developed information fusion algorithm, deploy the proposed concept, and present the graphical representation of the contextualized origin-destination matrix.
引用
收藏
页码:417 / 421
页数:5
相关论文
共 17 条
[1]  
3rd Generation Partnership Project
[2]  
Technical Specification Group Services and System Aspects, 2018, 32298V1520 3GPP TS
[3]  
Alhazzani M., 2016, ARXIV PREPRINT ARXIV
[4]  
Desic S, 2017, 2017 40TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), P424, DOI 10.23919/MIPRO.2017.7973462
[5]   Inferring Unusual Crowd Events from Mobile Phone Call Detail Records [J].
Dong, Yuxiao ;
Pinelli, Fabio ;
Gkoufas, Yiannis ;
Nabi, Zubair ;
Calabrese, Francesco ;
Chawla, Nitesh V. .
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT II, 2015, 9285 :474-492
[6]  
FILID M, 2016, P KOREMA AUT TRANSP, P26
[7]  
Filjar R., 2016, COORDINATES, VXII, P8
[8]   Location-Based Services: A Road Towards Situation Awareness [J].
Filjar, Renato ;
Jezic, Gordan ;
Matijasevic, Maja .
JOURNAL OF NAVIGATION, 2008, 61 (04) :573-589
[9]   Understanding individual human mobility patterns [J].
Gonzalez, Marta C. ;
Hidalgo, Cesar A. ;
Barabasi, Albert-Laszlo .
NATURE, 2008, 453 (7196) :779-782
[10]   Development of origin-destination matrices using mobile phone call data [J].
Iqbal, Md. Shahadat ;
Choudhury, Charisma F. ;
Wang, Pu ;
Gonzalez, Marta C. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 40 :63-74