Paper
8 May 2022 Characteristic analysis of metropolitan travel network based on mobile signaling data: a case study of Xiamen-Zhangzhou-Quanzhou metropolitan area
Yi Liu, Tong Liu, Jun Ma
Author Affiliations +
Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022); 122491N (2022) https://doi.org/10.1117/12.2636954
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022), 2022, Xiamen, China
Abstract
Metropolitan area is a spatial form of urbanization with big cities as the center and 1-hour-commuter circle as the basic scope. Transportation in metropolitan areas has the characteristics of high density, high growth, tidal and centripetal. Based on the mobile signaling data, this paper analyzes the travel characteristics of Xiamen-Zhangzhou-Quanzhou metropolitan area. This area is still in the embryonic and rapid development stage. The coastal area has dense transportation infrastructure, high travel intensity, and the centripetal characteristics of the travel network are obvious. At the same time, the multi center development pattern is gradually emerging. Due to the concentration of population and jobs in Xiamen Island, the pressure of commuter traffic and the shortage of rail transit, the development pattern of public transport guiding the expansion of urban development space has not yet been formed.
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Yi Liu, Tong Liu, and Jun Ma "Characteristic analysis of metropolitan travel network based on mobile signaling data: a case study of Xiamen-Zhangzhou-Quanzhou metropolitan area", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022), 122491N (8 May 2022); https://doi.org/10.1117/12.2636954
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KEYWORDS
Radiation effects

Roads

Analytical research

Satellites

Research facilities

Signal attenuation

Signal processing

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