引用本文:姚海芳, 路紫, 刘劲松.石家庄正定国际机场航空旅客分布特征识别——基于手机信令数据的研究[J].西南大学学报(自然科学版),2019,41(12):84~92
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石家庄正定国际机场航空旅客分布特征识别——基于手机信令数据的研究
姚海芳, 路紫, 刘劲松1,2
1. 河北师范大学 旅游系, 石家庄 050024;2. 河北师范大学 数学与信息科学学院, 石家庄 050024
摘要:
航空旅客分布特征及出行行为是航空网络布局、机场集疏运体系规划的基础.以石家庄市正定国际机场为研究对象,基于手机信令数据对该机场的航空旅客分布特征进行了识别,并对其影响因素进行了剖析.研究发现:①该机场的航空旅客主要来源于河北省(占60%左右),其次是北京市,但所占比例有限(约为6%~7%).②该机场进港、出港旅客的空间分布呈现出以石家庄市为核心的辐射扩张模式,具有明显的交通指向性,说明机场集疏运网络对航空旅客的分布具有重要贡献.③统计分析表明,进港、出港航班数量与进港、出港旅客数量呈显著正相关关系(p<0.001),且进港、出港旅客24 h动态分布特征与航班时刻结构变化同步性较高,这表明航班时刻结构是影响其变化的主要因素,优化航班时刻资源可以吸引更多远距离航空旅客,进而提高该机场的客运量.
关键词:  手机信令数据  航空旅客  分布特征  石家庄正定国际机场
DOI:10.13718/j.cnki.xdzk.2019.12.012
分类号:K909
基金项目:河北省高等学校科学技术研究项目(BJ2018038);河北省自然科学基金项目(D2019205090);国家自然科学基金面上项目(41671138).
Identification of Air Passenger Distribution Characteristics at Shijiazhuang Zhengding International Airport ——A Study Based on Mobile Phone Signaling Data
YAO Hai-fang, LU Zi, LIU Jin-song1,2
1. School of Tourism, Hebei Normal University, Shijiazhuang 050024, China;2. College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China
Abstract:
The characteristics of air passenger distribution and travel behavior are the basis of air network layout and airport transportation system planning. Previous studies have focused more on air passenger travel behavior and less on distribution characteristics. Taking the Shijiazhuang Zhengding International Airport as an example, this paper identified the characteristics of air passenger distribution in the airport based on mobile phone signaling data and analyzed its influencing factors. The results showed that Shijiazhuang Airport air passengers came mainly from Hebei province (accounting for about 60% of the total), followed by those from Beijing(accounting for about 6%~7%). The spatial distribution of the inbound and outbound passengers of Shijiazhuang Airport exhibited a radiation expansion mode with Shijiazhuang as the core, which had an obvious traffic directivity, indicating that the ground access of the airport had an important contribution to the distribution of air passengers. The number of inbound and outbound flights was in a highly significant positive correlation with the number of inbound and outbound passengers (p<0.001), and the characteristics of 24-hour dynamic distribution of inbound and outbound passengers were highly synchronized with the changes of flight time structurethus indicating that the structure of flight time is the main factor affecting the distribution changes. In order to improve the passenger capacity of the Shijiazhuang Airport, the resources of flight time should be optimized so as to attract more long-distance air passengers.
Key words:  cellphone signaling data  air passenger  distribution pattern  Shijiazhuang Zhengding International Airport
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