ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 31, Number 11(4) (2019)
Copyright(C) MYU K.K.
pp. 3859-3870
S&M2055 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2019.2589
Published: November 30, 2019

Spatial Clustering of Seoul’s Elderly Captive Riders Using Smart Card Spatial Autocorrelation Analysis [PDF]

Junhyung Lee and Jaekang Lee

(Received August 31, 2019; Accepted November 19, 2019)

Keywords: spatial autocorrelation, elderly, smart card, big data, social service

Smart card transactions contain user information and travel patterns. Thus, in this study, elderly smart card transactions were analyzed to determine elderly captive riders’ hot spots that need appropriate social services for them. There has been minimal focus on the spatial autocorrelation of smart card big data when developing new traffic policies. Therefore, in this study, spatial autocorrelation analysis was performed using Seoul’s smart card data for six weeks. In the collected data, it was found that 76.3% of the elderly trips were concentrated on subways, which offer free tickets. For this reason, we examined elderly captive bus riders in this study. Moran’s I was 0.277 for the elderly smart card transactions, and it has a positive spatial autocorrelation with the significance level of 0.01. Local indicators of spatial association (LISA) analysis is used to determine the spatially autocorrelated areas. Fifty administrative units (dongs) in Seoul were considered hot spots, and spatial clustering was confirmed; 61 dongs were considered cold spots. The distributions of hot spots and cold spots seem to be closely related to the subway supply level rather than the elderly population. Twenty-eight hot spots seriously need appropriate social services for elderly bus users because those hot spots do not operate subway service. First, barrier-free bus stops should be installed at the 28 hot spots. Second, bus lines that pass the 28 hot spots need to have high priority when supplying low-floor buses. Third, the low-floor bus shuttle service from/to the 28 hot spots is proposed by analyzing the top nine origins and destinations of the elderly. To propose advanced public transportation policies for the elderly, smart card spatial autocorrelation analysis can be used.

Corresponding author: Junhyung Lee


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Junhyung Lee and Jaekang Lee, Spatial Clustering of Seoul’s Elderly Captive Riders Using Smart Card Spatial Autocorrelation Analysis, Sens. Mater., Vol. 31, No. 11, 2019, p. 3859-3870.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2018/2019 (Bio4Apps 2018/2019)
Guest editor, Xiaojun Han (Harbin Institute of Technology)
Conference website


Special Issue on New Trend of Robotics and Applications
Guest editor, Ikuo Yamamoto (Nagasaki University)


Special Issue on Software, Algorithms, and Applications Using Sensors and Networks
Guest editor, Yoshito Tobe (Aoyama Gakuin University)
Call for paper


Special Issue on Sensor Fusion and Environment Perception for Autonomous Systems
Guest editor, Chenguang Yang (University of the West of England, Bristol)


Special Issue on Smart Sensing Technology and Materials for Smart Industry and Environmental Applications
Guest editor, Somyot Kaitwanidvilai (King Mongkut’s Institute of Technology Ladkrabang)


Special Issue on Advanced Materials on Electronic and Mechanical Devices and their Application on Sensors (2)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on CMOS-driven Biomedical Innovations
Guest editor, Kiichi Niitsu (Nagoya University)
Call for paper


Special Issue on Environmental Sensing
Guest editor, Hiroshi Aoki and Tetsuya Nakazato (National Institute of Advanced Industrial Science and Technology, AIST)
Call for paper


Special Issue on Innovation in Smart Sensing Control, Metrology, Optimization and Intelligent Automation
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)
Conference website
Call for paper


Special Issue on Advanced Micro and Nanomaterials for various Sensor Applications (Selected Papers from ICASI 2019)
Guest editor, Sheng-Joue Young (National Formosa University), Shoou-Jinn Chang (National Cheng Kung University), Liang-Wen Ji (National Formosa University), and Yu-Jen Hsiao (Southern Taiwan University of Science and Technology)
Conference website
Call for paper


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (2)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Cheng-Hsing Hsu (National United University), Ja-Hao Chen (Feng Chia University), and Wei-Ling Hsu (Huaiyin Normal University)
Conference website
Call for paper


Special Issue on Biological Odor Sensing System and Their Applications
Guest editor, Takeshi Sakurai (Tokyo University of Agriculture)
Call for paper


Special Issue on Novel Sensing Technologies for Point of Care, Home Care, and Personal Health Care
Guest editor, Yu-Lin Wang (National Tsing Hua University)
Call for paper


Special Issue on Advances in Shape Memory Materials
Guest editor, Ryosuke Matsui (Aichi Institute of Technology) and Hiroyuki Miki (Tohoku University)
Call for paper


Special Issue on Sensing in Medical Robots
Guest editor, Kenji Kawashima (Tokyo Medical and Dental University)
Call for paper


Special Issue on Optical Sensors: Novel Materials, Approaches, and Applications
Guest editor, Yap Wing Fen (Universiti Putra Malaysia)
Call for paper


Special Issue on Perceptual Deep Learning in Computer Vision and its Application
Guest editor, Chih-Hsien Hsia (National Ilan University)
Call for paper


Special Issue on On-Site Energy
Guest editor, Hiroki Kuwano (Tohoku University)
Call for paper


Special Issue on Sensing Technologies and Their Applications
Guest editor, Rey-Chue Hwang (I-Shou University)
Call for paper


Special Issue on New Trends in Smart Sensor Systems
Guest editor, Takahiro Hayashi (Kansai University)
Call for paper


Special Issue on Micro nano Biomedical Sensors, Devices, and Materials
Guest editor, Tetsuji Dohi (Chuo University) and Seiichi Takamatsu (The University of Tokyo)
Call for paper


Special Issue on Advanced Micro and Nanomaterials for various Sensor Applications (Selected Papers from ICASI 2020)
Guest editor, Sheng-Joue Young (National Formosa University), Shoou-Jinn Chang (National Cheng Kung University), Liang-Wen Ji (National Formosa University), and Yu-Jen Hsiao (Southern Taiwan University of Science and Technology)
Conference website
Call for paper



Copyright(C) MYU K.K.