| 引用本文: | 程国柱,张宇洁,冯天军.严寒城市地铁-公交复合网络承载力计算方法[J].哈尔滨工业大学学报,2022,54(9):101.DOI:10.11918/202108087 |
| CHENG Guozhu,ZHANG Yujie,FENG Tianjun.Carrying capacity calculation method of subway-bus composite network in severe cold city[J].Journal of Harbin Institute of Technology,2022,54(9):101.DOI:10.11918/202108087 |
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| 摘要: |
| 为使城市公共交通网络的构建更符合居民实际的换乘意愿,采用复杂网络理论中的space-M方法,以承载力为连边权重,提出考虑寒区城市居民出行特征的双层网络层间连边规则,构建了地铁-常规公交的加权双层网络模型,并给出其统计特性和承载力的计算方式。根据民出行意愿调查,严寒城市不同季节下公交-地铁站点的换乘意愿有明显变化。然后以哈尔滨市地铁-公交网络为实例,对比其冬季与其他季节网络整体承载力、连边承载力、节点承载力,并对网络进行鲁棒性分析。结果表明:哈尔滨市冬季地铁-常规公交网络的整体承载力为7 960 594 人/h,低于其他季节的8 338 903人/h。对于严寒城市,应在冬季对地铁与常规公交实施更为有利的管控手段,以提高其网络承载力。 |
| 关键词: 城市公共交通网络 复杂网络 换乘意愿 交通网络承载力 交通网络鲁棒性 |
| DOI：10.11918/202108087 |
| 分类号:U491 |
| 文献标识码:A |
| 基金项目:吉林省科技发展计划项目(20220402030GH) |
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| Carrying capacity calculation method of subway-bus composite network in severe cold city |
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CHENG Guozhu1,ZHANG Yujie1,FENG Tianjun2
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(1.School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, China; 2.School of Transportation Science and Engineering, Jilin Jianzhu University, Changchun 130118, China)
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| Abstract: |
| For constructing the urban public transportation network that is more in line with the actual transfer willingness of residents, on the basis of the space-M method of complex network theory, the connecting edge rule of two-layer network with carrying capacity as edge weights was proposed considering the travel characteristics of urban residents in alpine area. The weighted two-layer network model of subway-bus network was constructed, and the statistical characteristics and carrying capacity calculation method were given. According to the survey of transfer willingness of residents, the transfer willingness of subway-bus stations varied obviously in different seasons. Then, taking the subway-bus network in Harbin as an example, the overall carrying capacity, edge carrying capacity, and node carrying capacity in winter and other seasons were compared, and the robustness of the network was analyzed. Results show that the overall carrying capacity of Harbin subway-bus network in winter was 7 960 594 person/h, which was lower than that in other seasons (8 338 903 person/h). Therefore, for alpine cities, more favorable management and control measures for subway and conventional public transportation should be implemented in winter to improve network carrying capacity. |
| Key words: urban public transportation network complex network transfer willingness traffic network carrying capacity traffic network robustness |
