The scale and density of highway network is an intuitive indicator to understand and analyze the development level of regional highway. In this paper, we use the density index to compare and analyze the difference in the development level of highway networks between China and the world's major transportation power countries, and we also analyze the development law of highway network scale. On this basis, combined with the future economic and social development trends, we put forward some strategies for the development of China's highway network, which can provide reference for the formulation of highway network planning and related policies.
KEYWORDS: Radiation effects, Roads, Analytical research, Satellites, Tolerancing, System integration, Social sciences, Signal processing, Signal attenuation, Research facilities
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.
Intercity transportation in urban agglomerations has the characteristics of large travel scale, diversified travel modes, diversified travel purposes, unbalanced temporal and spatial distribution and so on. Based on the mobile signaling data, this paper calculates the intercity travel volume and external traffic travel volume of the Beijing-Tianjin-Hebei urban agglomeration through data cleaning, processing, fusion and mining. Using the spatial autocorrelation analysis method, the spatial effect of intercity highway traffic travel is analyzed. The results indicate that the intercity highway travel volume of adjacent cities shows a significant positive correlation, and intercity highway travel is positively correlated with population, economic development level, urbanization development level and residents' income level.
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