Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics
المؤلفون المشاركون
Zhan, Xianyuan
Chen, Yifan
Zhang, Yuliang
Ukkusuri, Satish V.
Yang, Chao
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-28
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
A key issue to understand urban system is to characterize the activity dynamics in a city—when, where, what, and how activities happen in a city.
To better understand the urban activity dynamics, city-wide and multiday activity participation sequence data, namely, activity chain as well as suitable spatiotemporal models, are needed.
The commonly used household travel survey data in activity analysis suffers from limited sample size and temporal coverage.
The emergence of large-scale spatiotemporal data in urban areas, such as mobile phone data, provides a new opportunity to infer urban activities and the underlying dynamics.
However, the challenge is the absence of labeled activity information in mobile phone data.
Consequently, how to fuse the useful information in household survey data and mobile phone data to build city-wide, multiday, and all-time activity chains becomes an important research question.
Moreover, the multidimension structure of the activity data (e.g., location, start time, duration, type) makes the extraction of spatiotemporal activity patterns another difficult problem.
In this study, the authors first introduce an activity chain inference model based on tensor decomposition to infer the missing activity labels in large-scale and multiday activity data, and then develop a spatiotemporal event clustering model based on DBSCAN, called STE-DBSCAN, to identify the spatiotemporal activity patterns.
The proposed approaches achieved good accuracy and produced patterns with a high level of interpretability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Chao& Zhang, Yuliang& Zhan, Xianyuan& Ukkusuri, Satish V.& Chen, Yifan. 2020. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Chao…[et al.]. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Chao& Zhang, Yuliang& Zhan, Xianyuan& Ukkusuri, Satish V.& Chen, Yifan. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1175722
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر