Study on spatial pattern of traffic network development based on geographic conditions monitoring data

doi:10.13474/j.cnki.11-2246.2019.0059

Abstract

Abstract:

The traffic access index is an important indicator to characterize the spatial pattern of a regional transportation network. Based on the traffic data related to the national geographic conditions monitoring, this study conducts research on the measurement of the accessibility index based on traffic network density and traffic convenience. A set of calculation methods for traffic accessibility index such as kerneldensity analysis, Euclidean distance analysis and attractiveness analysis are introduced, and the traffic network spatial pattern monitoring is carried out in Hangzhou as the pilot area.

Key words: geographic conditions, transportation network density, traffic convenience, traffic accessibility index, spatial pattern

CLC Number:

P208

HU Chuanwen, LUO Guangfei, YANG Wenjing, NI Xichun. Study on spatial pattern of traffic network development based on geographic conditions monitoring data[J]. 测绘通报, 2019, 0(2): 131-136.

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