
重庆交通大学学报(自然科学版) ›› 2024, Vol. 43 ›› Issue (5): 99-105.DOI: 10.3969/j.issn.1674-0696.2024.05.13
• 交通+大数据人工智能 • 上一篇
何明卫1,纳静笠1,朱权2,荀丽梅1
收稿日期:2023-07-12
修回日期:2023-11-12
发布日期:2024-05-20
作者简介:何明卫(1981—),男,四川南江人,副教授,博士,主要从事出行决策行为方面的研究。E-mail:kmhmw@kust.edu.cn
基金资助:HE Mingwei1, NA Jingli1, ZHU Quan2, XUN Limei1
Received:2023-07-12
Revised:2023-11-12
Published:2024-05-20
摘要: 引导小汽车用户使用公交有助于缓解城市交通拥堵和推动交通领域节能减排。采用昆明市小汽车用户出行调查数据,基于随机森林模型探究建成环境、公交服务质量、个人社会经济属性对小汽车用户公交使用的影响。研究表明:建成环境是影响小汽车用户公交使用的最重要因素,相对重要性之和为53.7%,路网密度、土地利用混合度、居住区位、公交站点数量与小汽车用户公交使用密切相关;个人社会经济属性相对重要性之和为24.9%,家庭年收入变量相对重要性最高(5.2%);公交服务质量相对重要性之和为21.4%,分别为便利性(5.8%)、舒适性(5.6%)、可靠性(5.2%)、安全性(4.8%);建成环境对小汽车用户公交使用具有非线性影响且非线性影响在不同收入水平的小汽车用户之间存在差异。研究结果有助于更好理解小汽车用户的公交使用行为,从而采取针对性策略促进小汽车用户使用公交。
中图分类号:
何明卫1,纳静笠1,朱权2,荀丽梅1. 城市小汽车用户公交使用的影响因素分析[J]. 重庆交通大学学报(自然科学版), 2024, 43(5): 99-105.
HE Mingwei1, NA Jingli1, ZHU Quan2, XUN Limei1. Influencing Factors on the Use of Bus by Urban Car Users[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(5): 99-105.
| [1] 肖冰, 何明卫, 费怡. 基于结构方程模型的小汽车车主公交使用频次的影响机理研究[J]. 昆明理工大学学报(自然科学版), 2021, 46(3): 141-148.
XIAO Bing, HE Mingwei, FEI Yi. The influence mechanism of public transport use frequency for car owners based on structural equation mo-del [J]. Journal of Kunming University of Science and Technology (Natural Sciences), 2021, 46(3): 141-148. [2] 严海, 王熙蕊, 梁文博, 等. 基于结构方程模型的通勤交通方式选择[J]. 北京工业大学学报, 2015, 41(4): 590-596. YAN Hai, WANG Xirui, LIANG Wenbo, et al. Commute traffic mode choice based on structural equation model [J]. Journal of Beijing University of Technology, 2015, 41(4): 590-596. [3] CHAKRABARTI S. How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles [J]. Transport Policy, 2017, 54: 80-89. [4] JAIN S, AGGARWAL P, KUMAR P, et al. Identifying public prefer-ences using multi-criteria decision making for assessing the shift of urban commuters from private to public transport: A case study of Delhi [J]. Transportation Research Part F: Traffic Psychology and Behavior, 2014, 24: 60-70. [5] KANG A S, JAYARAMAN K, SOH K L, et al. Convenience, flexible service, and commute impedance as the predictors of drivers intention to switch and behavioral readiness to use public transport [J]. Transpo-rtation Research Part F: Traffic Psychology and Behaviour, 2019, 62: 505-519. [6] GAO Kun, YANG Ying, SUN Lijun, et al. Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips [J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2020, 71: 272-287. [7] 赵丽元, 王书贤, 韦佳伶. 基于IC卡数据的建成环境与公交出行率关系研究[J]. 交通运输系统工程与信息, 2019, 19(4): 233-238. ZHAO Liyuan, WANG Shuxian, WEI Jialing. Exploring the relationship between built environment and bus transit usage based on IC card data [J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(4): 233-238. [8] LIU Yan, WANG Siqin, XIE Bin. Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia [J]. Transport Policy, 2019, 76: 78-89. [9] SUN Bindong, ERMAGUN A, DAN Bo. Built environmental impacts on commuting mode choice and distance: evidence from Shanghai [J]. Transportation Research Part D: Transport and Environment, 2017, 52: 441-453. [10] 仝照民, 安睿, 刘耀林. 建成环境对居民通勤方式选择的影响——以武汉市城中村为例[J]. 地理科学进展, 2021, 40(12): 2048-2060. TONG Zhaomin, AN Rui, LIU Yaolin. Impact of the built environment on residents commuting mode choices: A case study of urban village in Wuhan City[J]. Progress in Geography, 2021, 40(12): 2048-2060. [11] WANG Lanjing, ZHAO Chunli, LIU Xiaofei, et al. Non-linear effects of the built environment and social environment on bus use among older adults in China: An application of the XGBoost model [J]. International Journal of Environmental Research and Public Health, 2021, 18(18): 9592. [12] ZHANG Chunqin, LIU Yong, LU Weite, et al. Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service [J]. Transportation Research Part A: Policy and Practice, 2019, 120: 149-164. [13] YAO Di, XU Liqun, ZHANG Chunqin, et al. Revisiting the interac-tions between bus service quality, car ownership and mode use: A case study in Changzhou, China[J]. Transportation Research Part A: Policy and Practice, 2021, 154: 329-344. [14] 尹超英, 邵春福, 王晓全, 等. 考虑空间异质性的建成环境对通勤方式选择的影响[J]. 吉林大学学报(工学版), 2020, 50(2): 543-548. YIN Chaoying, SHAO Chunfu, WANG Xiaoquan, et al. Influence of built environment on commuting mode choice considering spatial heterogeneity[J].Journal of Jilin University (Engineering and Technology Edition), 2020, 50(2): 543-548. [15] BREIMAN L. Random forests [J]. Machine Learning, 2001, 45(1):5-32. [16] HAGENAUER J, HELBICH M. A comparative study of machine learning classifiers for modeling travel mode choice [J]. Expert Systems with Applications, 2017, 78: 273-282. [17] 杨林川, 朱庆. 建成环境对老年人出行行为影响的空间异质性[J]. 西南交通大学学报, 2023, 58(3): 696-703. YANG Linchuan, ZHU Qing. Spatiallyheterogeneous effects of built environment on travel behavior of older adults [J]. Journal of Southwest Jiaotong University, 2023, 58(3): 696-703. [18] CHENG Long, CHEN Xuewu, YANG Shuo, et al. Active travel for active ageing in China: the role of built environment [J]. Journal of Transport Geography, 2019, 76: 142-152. |
| [1] | 张旭1,杨晓光2,庞聿皓3,李英帅3. 交通语言综述化研究[J]. 重庆交通大学学报(自然科学版), 2024, 43(1): 39-45. |
| [2] | 邵长桥,陈艳清. 高速公路收费站ETC/MTC混合收费车道通行能力计算模型研究[J]. 重庆交通大学学报(自然科学版), 2024, 43(1): 52-58. |
| [3] | 王登忠1,2,马东方3,方博3,王如杰3,袁超1. 基于移动性导向的公交网络可达性研究[J]. 重庆交通大学学报(自然科学版), 2024, 43(1): 59-66. |
| [4] | 赵欣,李瑞,酆磊. 基于公交优先的干线协调信号控制改进模型[J]. 重庆交通大学学报(自然科学版), 2024, 43(1): 67-74. |
| [5] | 周和平,李文杰. 考虑鲁棒成本与绝对后悔的最短路径问题研究[J]. 重庆交通大学学报(自然科学版), 2024, 43(1): 91-98. |
| [6] | 赵红专, 李林, 周旦, 陈建鹏, 展新. 车联网环境下的可变单向交通控制算法研究[J]. 重庆交通大学学报(自然科学版), 2023, 42(6): 111-118. |
| [7] | 韩宝睿, 濮海建, 朱震军. 基于改进Lotka-Volterra模型的城市轨道交通与常规公交竞合关系演变研究[J]. 重庆交通大学学报(自然科学版), 2023, 42(2): 106-112. |
| [8] | 何烈云, 周妍, 黄少泽, 刘强. 叠加放行信号控制方式适用条件及效益评价[J]. 重庆交通大学学报(自然科学版), 2023, 42(1): 113-119. |
| [9] | 李振龙, 董爱华, 杨磊. 基于群决策和熵权法的换道轨迹评价研究[J]. 重庆交通大学学报(自然科学版), 2023, 42(1): 120-127. |
| [10] | 赵树恩, 刘伟. 基于改进VGG模型的低照度道路交通标志识别[J]. 重庆交通大学学报(自然科学版), 2021, 40(10): 178-184. |
| [11] | 李英帅1,闫琦若1,赵聪2. 基于公交车右转内轮差效应的范围研究[J]. 重庆交通大学学报(自然科学版), 2021, 40(09): 43-48. |
| [12] | 阎莹1,刘革1,田敏1,刘佳乐1,穆岩2. 基于Trucksim的弯坡组合路段临界车速确定方法[J]. 重庆交通大学学报(自然科学版), 2021, 40(09): 49-54. |
| [13] | 胡明伟1,2,3,施小龙1,翟素云4,刘鹏1. 自动驾驶混合交通流的交通和环境效益评估[J]. 重庆交通大学学报(自然科学版), 2021, 40(08): 7-14. |
| [14] | 李佳1,王雪松2. 密集路网中城市主干路中观安全分析模型[J]. 重庆交通大学学报(自然科学版), 2021, 40(08): 34-41. |
| [15] | 焦柳丹1,朱影含1,吴雅2,宋向南3. 基于演化博弈理论的城市轨道交通高峰票价定价研究[J]. 重庆交通大学学报(自然科学版), 2021, 40(08): 42-49. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||