考虑站点类型的城市轨道交通接驳方式选择建模与分析

宋成举, 范本科, 昝永俊, 尹耀君

交通运输研究 ›› 2024, Vol. 10 ›› Issue (5) : 101-111.

交通运输研究 ›› 2024, Vol. 10 ›› Issue (5) : 101-111. DOI: 10.16503/j.cnki.2095-9931.2024.05.009
案例研究

考虑站点类型的城市轨道交通接驳方式选择建模与分析

作者信息 +

Modeling and Analysis of Urban Rail Transit Connection Mode Selection Considering Station Type

  • SONG Chengju ,  
  • FAN Benke ,  
  • ZAN Yongjun ,  
  • YIN Yaojun
Author information +
文章历史 +

摘要

为更精确地揭示出行者对城市轨道交通接驳方式选择的决策机制,将站点类型作为无序多分类变量引入混合Logit模型,以分析出行者接驳方式的选择行为。首先,通过聚类分析获取轨道交通站点类型数据;然后,结合KDTree空间搜索及网络爬虫获得的交通方式特性数据,以及通过RP调查获得的出行者特性数据,建立城市轨道交通接驳方式选择的混合Logit模型;最后,通过敏感性分析探讨不同类型轨道交通站点的接驳特性以及出行者对接驳方式的选择行为。研究结果表明:接驳距离、接驳费用、接驳时长、收入、出行目的、职业、年龄、性别、同行人数、学历以及接驳时间段均与接驳方式的选择显著相关;与中心型城市轨道交通站点相比,出行者在边缘型站点时倾向选择摩托车、公交车、私家车、出租车或网约车接驳,在混合型轨道交通站点倾向选择自行车或公交车接驳,不同站点类型的出行者对接驳方式选择的敏感性存在差异。由此可见,站点类型对站点接驳方式结构具有一定影响,可采取优化中心型站点接驳设施,提高边缘型站点公共交通的可达性,并完善混合型站点非机动接驳方式的基础设施等措施,来满足不同类型站点出行者的需求。

Abstract

To more accurately reveal the decision-making mechanism of travelers' connection modes of urban rail transit, this paper introduced station type as a disordered multi-categorical variable into the mixed Logit model to analyze travelers' choice behavior of connection modes. A mixed Logit model for connecting mode selection of urban rail transit was established by clustering rail stations to obtain station types, combining the traffic mode and travelers′ characteristics data obtained from KDTree spatial search and web crawl and RP investigation. The connection characteristics of different types of rail stations and travelers' choice behavior of connecting mode were explored by sensitivity analysis. The results showed that the connection distance, connection cost, connection duration, income, travel purpose, occupation, age, gender, number of peers, education level, and connection time were significantly correlated with connection mode selection. Compared with the central type of urban rail transit station, travelers tended to choose motorcycles, buses, private car, taxis or ride-hailing connections at the edge type of urban rail transit station, and bicycle or bus connections at the mixed type of urban rail transit station. Travelers of different station types have different sensitivity to connection mode selection. As can be seen, station type has a certain impact on the structure of station connection mode. Measures could be taken to optimize the connection facilities of central stations, improve the accessibility of public transportation at edge stations, and improve the infrastructure of non motorized connections at mixed stations to meet the needs of travelers at different types of stations.

关键词

出行方式选择 / 接驳方式 / 混合Logit / KDTree空间搜索 / 系统聚类

Key words

travel mode selection / connection mode selection / mix Logit / KDTree spatial search / system clustering

引用本文

导出引用
宋成举, 范本科, 昝永俊, . 考虑站点类型的城市轨道交通接驳方式选择建模与分析[J]. 交通运输研究. 2024, 10(5): 101-111 https://doi.org/10.16503/j.cnki.2095-9931.2024.05.009
SONG Chengju, FAN Benke, ZAN Yongjun, et al. Modeling and Analysis of Urban Rail Transit Connection Mode Selection Considering Station Type[J]. Transport Research. 2024, 10(5): 101-111 https://doi.org/10.16503/j.cnki.2095-9931.2024.05.009
中图分类号: U491   

参考文献

[1]
毕宇明, 马颖, 冯丹, 等. 基于SEM-Logit模型的互联网租赁电动自行车使用行为研究[J]. 交通运输研究, 2023, 9(6):119-131.
[2]
ZHOU Y, YUAN Q, DING F, et al. Demand, mobility, and constraints: Exploring travel behaviors and mode choices of older adults using a facility-based framework[J]. Journal of Transport Geography, 2022, 102: 103368. DOI: 10.1016/j.jtrangeo.2022.103368.
[3]
景鹏, 隽志才, 贾玲玉. 采用均匀设计SP调查的出行方式选择建模与敏感性分析[J]. 预测, 2012, 31(4):75-80.
[4]
何永明, 张磊, 魏堃, 等. 重大节假日出行方式选择模型研究[J]. 大连交通大学学报, 2024, 45(1):13-19.
[5]
BAI T, LI X, SUN Z. Effects of cost adjustment on travel mode choice: Analysis and comparison of different logit models[J]. Transportation Research Procedia, 2017, 25: 2649-2659.
[6]
吴江玲, 张馨月, 任丽丽. 汽油价格上调影响下出行者出行方式选择[J]. 科学技术与工程, 2023, 23(35):15252-15258.
[7]
庄焱, 董春娇, 米雪玉, 等. 基于随机参数Logit的中小城市居民出行方式选择建模[J]. 吉林大学学报(工学版), 2024, 54(2):461-468.
[8]
HUANG Y, GAN H, LU H, et al. Park‐and‐ride choice behaviour under multimodal travel information: Analysis based on panel mixed logit model[J]. IET Intelligent Transport Systems, 2023, 17(10): 2063-2074.
[9]
LU Y, PRATOC G, SIPE N, et al. The role of household modality style in first and last mile travel mode choice[J]. Transportation Research Part A: Policy and Practice, 2022, 158: 95-109.
[10]
LIANG L, XU M, GRANT-MULLER S, et al. Household travel mode choice estimation with large-scale data: An empirical analysis based on mobility data in Milan[J]. International Journal of Sustainable Transportation, 2020, 15(1): 70-85.
[11]
HATAMI F, RAHMAN M M, NIKPARVAR B, et al. Non-linear associations between the urban built environment and commuting modal split: A random forest approach and SHAP evaluation[J]. IEEE Access, 2023, 11: 12649-12662.
[12]
CHENG L, CHEN X, DE VOS J, et al. Applying a random forest method approach to model travel mode choice behavior[J]. Travel Behaviour and Society, 2019, 14: 1-10.
[13]
MAO C, XU W, HUANG Y, et al. Investigation of passengers′ perceived transfer distance in urban rail transit stations using XGBoost and SHAP[J]. Sustainability, 2023, 15(10): 7744. DOI:10.3390/su15107744.
[14]
LEE E. Exploring transit use during COVID-19 based on XGB and SHAP using smart card data[J]. Journal of Advanced Transportation, 2022. DOI: https://doi.org/10.1155/2022/6458371.
[15]
孙韬, 黄忆宁, 陈春. 轨道站点“最后一公里”建成环境对轨道交通出行的影响[J]. 绿色科技, 2023, 25(15):192-198.
[16]
傅玉玲, 孙小慧, 张佳欣. 考虑心理潜变量的城市轨道站点接驳方式选择行为研究[J]. 交通运输工程与信息学报, 2024, 22(1):160-174.
[17]
杨惠婷. 城市轨道交通站点接驳方式选择研究[D]. 南京: 东南大学, 2018.
[18]
李文勇, 赵寅飞, 廉冠, 等. 基于移动互联交通信息的居民出行方式特性[J]. 科学技术与工程, 2023, 23(35):15246-15251.
[19]
何仁杰. 基于多源数据的高铁站接驳出行方式选择行为研究[D]. 西安: 长安大学, 2022.
[20]
吴静娴, 胡荣, 赵靖, 等. 基于多源数据的迁居个体通勤方式选择研究[J]. 武汉理工大学学报(交通科学与工程版), 2020, 44(6):984-988.
[21]
丁天. 城市轨道交通车站的分类及乘客接驳方式选择[D]. 西安: 长安大学, 2019.
[22]
金晓东. 基于计划行为理论的城市轨道交通站点接驳方式选择研究[D]. 成都: 西南交通大学, 2021.
[23]
MUJALLI R, DE O. Injury severity models for motor vehicle accidents: A review[J]. Proceedings of The Institution of Civil Engineers-Transport, 2013, 166(5): 255-270.
[24]
殷勇. 基于混合logit模型的城市轨道交通出行方式选择行为研究[D]. 大连: 大连交通大学, 2021.

基金

国家自然科学基金项目(52072143)
中央高校基本科研业务费专项(2572020BG02)
黑龙江省自然科学基金项目(LH2020G002)

Accesses

Citation

Detail

段落导航
相关文章

/