学术文章 [1] Peng Jing, Liuyang Du, Yuexia Chen, et al. Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school[J]. Accident Analysis & Prevention, 2021, 152: 105991 (SCI, , IF=3.655) [2] Jing, P., Chen, Y., Wang, X., Pan, K., & Yuan, D. (2021). Evaluating the effectiveness of Didi ride-hailing security measures: An integration model. Transportation Research Part F: Traffic Psychology and Behaviour, 76, 139–166. https://doi.org/10.1016/j.trf.2020.11.004 (SCI, , IF=2.518) [3] 景鹏,王伟,吴麟麟.老年人对自动驾驶汽车接受度研究[J/OL].中国公路学报:1-25[2020-12-16].http://kns.cnki.net/kcms/detail/61.1313.u.20201118.1453.002.html. [4] P. Jing, H. Hu, F. Zhan, Y. Chen and Y. Shi, "Agent-Based Simulation of Autonomous Vehicles: A Systematic Literature Review," in IEEE Access, vol. 8, pp. 79089-79103, 2020, doi: 10.1109/ACCESS.2020.2990295. [5] Jing, P.; Xu, G.; Chen, Y.; Shi, Y.; Zhan, F. The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review. Sustainability 2020, 12, 1719. (SCI/SSCI, IF=2.592) [6] Jing, P., Huang, H., Ran, B., Zhan, F., Shi, Y. Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China. [J]. Sustainability, 2019, 11, 1155. (SCI/SSCI, IF=2.592) [7] Wu L, Wang W, Jing P, et al. Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000-2018[J]. Journal of Cleaner Production, 2019.(SCI/SSCI, IF=6.395) [8] Peng Jing, Qingku You, Long Chen. Agent-Based Simulation of Children’s School Travel Mode with Parental Escort Decisions[J]. Information, 2018, 9(3):1-10.(EI) [9] P Jing, Zhao M, He M, et al. Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review[J]. Sustainability, 2018, 10(4):1185. (SCI/SSCI, IF=2.592) [10] Peng Jing, Jing Wang, Long Chen, Qi-fen. Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China[J]. Transportation Planning and Technology, 2017, 41(2):119-137.(SCIE/SSCI, IF=0.512) [11] P Jing, Huang H, Chen L. An adaptive traffic signal control in a connected vehicle environment: A systematic review[J]. Information, 2017, 8(3). (EI) [12] 景 鹏, 王 静, 查奇芬, 何美玲, 陆 颖. 影响学校出行方式选择的心理因素研究综述[J]. 中国公路学报, 2017, 30(2):107-119.(EI) [13] Jing Peng, Huang, Wei, Chen Long. Car-to-pedestrian communication safety system based on the vehicular Ad-Hoc network environment: A systematic review[J]. Information, 2017, 8(4). (EI) [14] JING Peng, WANG Jing, ZHA Qifen. Understanding Attitudes towards Travel Mode Choice for Environmentlly Sustainable Transportation: Extending the Theory of Planned Bheavior[J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY. 2016, 118(1). (SCIE, IF=2.452) [15] 景鹏, 王静, 陈龙, 查奇芬, 陈月霞. 考虑主观态度的低碳出行市场细分实证研究[J]. 预测, 2016, 35(6):37-43.(CSSCI) [16] 景鹏, 隽志才, 查奇芬. 扩展计划行为理论框架下基于MIMIC模型的城际出行行为分析[J]. 管理工程学报, 2016, 30(4):61-68.(CSSCI) [17] 景鹏, 隽志才. 考虑心理潜变量的出行方式选择行为模型[J]. 中国公路学报. 2014, 27(11):84-92.(EI, IF=1.290) [18] Jing Peng, Juan Zhi-cai, and Gao Lin-jie, “Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 308674, 10 pages, 2014. doi:10.1155/2014/308674(SCI) [19] He Meiling, Jing Peng, Wu Xiaohui, Hu Qifan, Calculationand Decomposition Model of Carbon Emissions from Transportation Energy Consumption in Jiangsu Province, China, Energy Education Science and Technology Part A: Energy Science and Research, 2014, 32(5):4423-4430.(EI) [20] Jing, P., Z. Juan. The Theory of Planned Behavior The Role of Descriptive Norms and Habit in the Prediction of Intercity Travel Mode Choice[J]. Journal of Convergence Information Technology. 2013, 8(10):211-219.(EI) [21] Lu Ying, Jing Peng. Production planning with postponement strategy based on classification of product differentiations[J]. Journal of Software, 2013, 8(9):2253-2261.(EI) [22] Lu Ying, Jing Peng. The combination of postponement operations in a supply chain network with multi-level product differentiations[J]. Journal of Networks, 2013, 8(12):2900-2907.(EI) [23] 景鹏, 隽志才. 人口统计特征对区域城际出行方式选择行为意向影响[J]. 统计与决策. 2013, 392:75-78.(CSSCI) [24] 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.(CSSCI) [25] Jing, P., Z. Juan, X. Lin. The object-oriented methodology of traffic microscope simulation system for generating vehicles from OD matrix[J]. Journal of Convergence Information Technology. 2012, 7(10): 337-346.(EI) [26] Jing, P., Z. Juan, L. Gao, Improvement of the full velocity difference car-following model. [J] Journal of Computational Information Systems. 2011, 7(10): 3651-3659.(EI) [27] Jing, P., Analysis of vehicle conversion factor in the period of melts to freeze of winter[J]. Advances in Information Sciences and Service Sciences. 2011, 3(1): 87-94.(EI) [28] 景鹏, 隽志才, 林徐勋. 基于OD的微观交通发车仿真系统设计[J]. 计算机应用研究. 2010, 27(4): 1380-1383.(IF=1.466) [29] Jing P. and S. Cui. Study of traffic flow characteristics on icy and snowy pavement of city based on multivariate statistical analysis. In 2010 International Conference on Mechanic Automation and Control Engineering. Wuhan, China. MACE2010, June 26, 2010 - June 28, 1321-1328.(EI) [30] 景鹏, 崔声伶. 城市道路冰雪路面交通流状态特性研究[J]. 中外公路. 2010(4): 313-317. [31] 景鹏, 王国林, 魏领军. 基于模糊推理系统路面平整度预测研究[J]. 中外公路, 2008(06): 70-74. [32] 景鹏, 孟祥海. 冰雪融冻期车辆折算系数研究[J]. 交通运输工程与信息学报, 2007(03): 26-32+68. [33] 强添纲, 景鹏, 康晓琼.中心城市交通生成模型构建与分析[J].森林工程,2007(03):73-76. [34] 景鹏, 孟祥海. 基于模糊聚类的冰雪融冻期交通流状态分析[J]. 东北林业大学学报, 2007(04): 46-49. 教材书籍 1. 景鹏、潘公宇. 运输系统规划与设计. 国防工业出版社. 2016 2. 胡永举、景鹏. 道路运输信息系统. 人民交通出版社. 2007 |