| Pervasive Computing and Computer Human Interaction |
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| Urban impedance computing model based on points of interest |
| ZHENG Song pan, CHEN Yu zhong,YU Zhi yong |
1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China;
2. Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou 350108, China;
3. Space Syntax Laboratory, Bartlett School of Architecutre, University College London, London NW12BX, UK |
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Abstract An urban impedance computing model was proposed based on the points of interest from social networks for realtime calculation of urban impedance. The model used the land blocks divided by urban traffic networks as the basic units, and factors such as the average traffic distance, turning angle, turning times, intersection and the population and so on were considered to calculate the urban impedance within an accessible radius. In the experiment, the urban impedance was calculated for each 2 h using the proposed model, and was compared with the utility model and the gravity model. The results show that the similarity between our impedance model and the actual road situation is 80% higher than the utility model and 60% higher than the gravity model, respectively. The proposed model improves the applicability of urban impedance calculation and reflects the variation in different time periods.
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Published: 01 June 2016
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基于兴趣点的城市阻抗计算模型
为实现城市阻抗的实时计算, 提出一种基于社交网络兴趣点的城市阻抗计算模型.模型以城市路网划分地块为基本单位,综合考虑地块中心到兴趣点间的平均路网距离、转弯角度、转弯次数、交叉口以及人口等因素,计算城市地块在可达半径范围内的阻抗值.将提出的模型与效用模型、潜力模型以每2 h作为时间段进行计算对比.结果表明：提出的阻抗模型与实际路况的相似度比效用模型、潜力模型分别高出80%与60%,有效提高了模型在城市阻抗计算上的适用性,反映出城市地块在不同时间段的阻抗变化.
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