SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

被引:0
|
作者
Ruiz Sanchez, Tomas [1 ]
Mars Aicart, Maria del Lidon [2 ]
Arroyo Lopez, Maria Rosa [1 ]
Serna Nocedal, Ainhoa [3 ]
机构
[1] Univ Politecn Valencia, Transport Dept, Valencia, Spain
[2] Univ Valencia, Social Psychol Dept, Valencia, Spain
[3] Mondragon Unibertsitatea, Informat Syst Dept, Arrasate Mondragon, Spain
关键词
TRAVEL; BEHAVIOR; TRUST;
D O I
10.4995/CIT2016.2016.4251
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The characteristics of people who are related or tied to each individual affects her activitytravel behavior. That influence is especially associated to social and recreational activities, which are increasingly important. Collecting high quality data from those social networks is very difficult, because respondents are asked about their general social life, which is most demanding to remember that specific facts. On the other hand, currently there are different potential sources of transport data, which is characterized by the huge amount of information available, the velocity with it is obtained and the variety of format in which is presented. This sort of information is commonly known as Big Data. In this paper we identify potential sources of social network related big data that can be used in Transport Planning. Then, a review of current applications in Transport Planning is presented. Finally, some future prospects of using social network related big data are highlighted.
引用
下载
收藏
页码:1184 / 1191
页数:8
相关论文
共 50 条
  • [1] BIG DATA AND THE CONSUMPTION OF NEWS IN SOCIAL NETWORKS
    Gomes, Paulo Pinheiro, Jr.
    GESTAO E DESENVOLVIMENTO, 2014, 11 (01): : 46 - 57
  • [2] Analyzing Entrepreneurial Social Networks with Big Data
    Wang, Feng
    Mack, Elizabeth A.
    Maciewjewski, Ross
    ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS, 2017, 107 (01) : 130 - 150
  • [3] Management of Distributed Big Data for Social Networks
    Leung, Carson K.
    Zhang, Hao
    2016 16TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2016, : 639 - 648
  • [4] Optimization of Big Data Scheduling in Social Networks
    Fu, Weina
    Liu, Shuai
    Srivastava, Gautam
    ENTROPY, 2019, 21 (09)
  • [5] Big data and understanding change in the context of planning transport systems
    Milne, Dave
    Watling, David
    JOURNAL OF TRANSPORT GEOGRAPHY, 2019, 76 : 235 - 244
  • [6] Big Data Mining of Social Networks for Friend Recommendation
    Jiang, Fan
    Leung, Carson K.
    Pazdor, Adam G. M.
    PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016, 2016, : 921 - 922
  • [7] Big Data on Social Networks: A Research on Technology Brands
    Kilinc, Ozgur
    Arici, Ali
    CONNECTIST-ISTANBUL UNIVERSITY JOURNAL OF COMMUNICATION SCIENCES, 2020, (58): : 201 - 240
  • [8] Optimized Rank Estimator in Big Data Social Networks
    Pirouz, Matin
    Parsa, Sai Phani
    Zhan, Justin
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON BIG DATA AND EDUCATION (ICBDE 2018), 2018, : 80 - 84
  • [9] Trustworthy Caching for Mobile Big Data in Social Networks
    Xu, Qichao
    Su, Zhou
    Dai, Minghui
    IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2018, : 808 - 812
  • [10] Green Neighbourhoods: The Role of Big Data in Low Voltage Networks’ Planning
    Greetham D.V.
    Hattam L.
    Studies in Big Data, 2019, 42 : 151 - 169