A Clustering Refinement Approach for Revealing Urban Spatial Structure from Smart Card Data
Facilitated by rapid development of the data-intensive techniques together with communication and sensing technology, we can take advantage of smart card data collected through Automatic Fare Collection (AFC) systems to establish connections between public transit and urban spatial structure. In thi...
Main Authors: | Liyang Tang, Yang Zhao, Kwok Leung Tsui, Yuxin He, Liwei Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/16/5606 |
Similar Items
-
Passenger Travel Patterns and Behavior Analysis of Long-Term Staying in Subway System by Massive Smart Card Data
by: Gang Xue, et al.
Published: (2020-05-01) -
A Data-Driven Framework for Analyzing Spatial Distribution of the Elderly Cardholders by Using Smart Card Data
by: Zhicheng Shi, et al.
Published: (2021-10-01) -
Unravelling the spatial properties of individual mobility patterns using longitudinal travel data
by: Oded Cats, et al.
Published: (2022-12-01) -
Designing bike networks using the concept of network clusters
by: Meisam Akbarzadeh, et al.
Published: (2018-06-01) -
Mining Customized Bus Demand Spots Based on Smart Card Data: A Case Study of the Beijing Public Transit System
by: Yiyi Cheng, et al.
Published: (2019-01-01)