Artykuły w czasopismach na temat „Ridesplitting”
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Cahyo, Anggit, Nahry i Helen Burhan. "Mode choice model analysis between ridesouring and ridesplitting service in DKI Jakarta". MATEC Web of Conferences 270 (2019): 03013. http://dx.doi.org/10.1051/matecconf/201927003013.
Pełny tekst źródłaLi, Xiaomei, Yiwen Zhang, Zijie Yang, Yijun Zhu, Cihang Li i Wenxiang Li. "Modeling Choice Behaviors for Ridesplitting under a Carbon Credit Scheme". Sustainability 15, nr 16 (10.08.2023): 12241. http://dx.doi.org/10.3390/su151612241.
Pełny tekst źródłaWang, Jincheng, Qunqi Wu, Zilin Chen, Yilong Ren i Yaqun Gao. "Exploring the Factors of Intercity Ridesplitting Based on Observed and GIS Data: A Case Study in China". ISPRS International Journal of Geo-Information 10, nr 9 (17.09.2021): 622. http://dx.doi.org/10.3390/ijgi10090622.
Pełny tekst źródłaLi, Xinghua, Feiyu Feng, Wei Wang, Cheng Cheng, Tianzuo Wang i Pengcheng Tang. "Structure Analysis of Factors Influencing the Preference of Ridesplitting". Journal of Advanced Transportation 2021 (24.02.2021): 1–8. http://dx.doi.org/10.1155/2021/8820701.
Pełny tekst źródłaDu, Mingyang, Lin Cheng, Xuefeng Li, Qiyang Liu i Jingzong Yang. "Spatial variation of ridesplitting adoption rate in Chicago". Transportation Research Part A: Policy and Practice 164 (październik 2022): 13–37. http://dx.doi.org/10.1016/j.tra.2022.07.018.
Pełny tekst źródłaBeojone, Caio Vitor, i Nikolas Geroliminis. "A dynamic multi-region MFD model for ride-sourcing with ridesplitting". Transportation Research Part B: Methodological 177 (listopad 2023): 102821. http://dx.doi.org/10.1016/j.trb.2023.102821.
Pełny tekst źródłaLi, Wenxiang, Lei Wang, Ziyuan Pu, Long Cheng i Linchuan Yang. "What determines the real-world CO2 emission reductions of ridesplitting trips?" Travel Behaviour and Society 35 (kwiecień 2024): 100734. http://dx.doi.org/10.1016/j.tbs.2023.100734.
Pełny tekst źródłaTu, Meiting, Wenxiang Li, Olivier Orfila, Ye Li i Dominique Gruyer. "Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu". Transportation Research Part D: Transport and Environment 93 (kwiecień 2021): 102776. http://dx.doi.org/10.1016/j.trd.2021.102776.
Pełny tekst źródłaZhu, Zheng, Xiaoran Qin, Jintao Ke, Zhengfei Zheng i Hai Yang. "Analysis of multi-modal commute behavior with feeding and competing ridesplitting services". Transportation Research Part A: Policy and Practice 132 (luty 2020): 713–27. http://dx.doi.org/10.1016/j.tra.2019.12.018.
Pełny tekst źródłaChen, Xiqun (Michael), Majid Zahiri i Shuaichao Zhang. "Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach". Transportation Research Part C: Emerging Technologies 76 (marzec 2017): 51–70. http://dx.doi.org/10.1016/j.trc.2016.12.018.
Pełny tekst źródłaYang, Hongtai, Peng Luo, Chaojing Li, Guocong Zhai i Anthony G. O. Yeh. "Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates". Transportation Research Part A: Policy and Practice 169 (marzec 2023): 103577. http://dx.doi.org/10.1016/j.tra.2022.103577.
Pełny tekst źródłaLiu, Hao, Saipraneeth Devunuri, Lewis Lehe i Vikash V. Gayah. "Scale effects in ridesplitting: A case study of the City of Chicago". Transportation Research Part A: Policy and Practice 173 (lipiec 2023): 103690. http://dx.doi.org/10.1016/j.tra.2023.103690.
Pełny tekst źródłaZhang, Zhe, Kun Gao, Hong-Di He, Shaohua Cui, Liyang Hu, Qing Yu i Zhong-Ren Peng. "Environmental impacts of ridesplitting considering modal substitution and associations with built environment". Transportation Research Part D: Transport and Environment 130 (maj 2024): 104160. http://dx.doi.org/10.1016/j.trd.2024.104160.
Pełny tekst źródłaXu, Yiming, Xiang Yan, Xinyu Liu i Xilei Zhao. "Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships". Transportation Research Part A: Policy and Practice 144 (luty 2021): 170–88. http://dx.doi.org/10.1016/j.tra.2020.12.005.
Pełny tekst źródłaLi, Wenxiang, Ziyuan Pu, Yuanyuan Li i Meiting Tu. "How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China". Transportation Research Part D: Transport and Environment 95 (czerwiec 2021): 102885. http://dx.doi.org/10.1016/j.trd.2021.102885.
Pełny tekst źródłaLi, Wenxiang, Ziyuan Pu, Ye Li i Xuegang (Jeff) Ban. "Characterization of ridesplitting based on observed data: A case study of Chengdu, China". Transportation Research Part C: Emerging Technologies 100 (marzec 2019): 330–53. http://dx.doi.org/10.1016/j.trc.2019.01.030.
Pełny tekst źródłaHuang, Guan, Zhan Zhao i A. G. O. Yeh. "How shareable is your trip? A path-based analysis of ridesplitting trip shareability". Computers, Environment and Urban Systems 110 (czerwiec 2024): 102120. http://dx.doi.org/10.1016/j.compenvurbsys.2024.102120.
Pełny tekst źródłaRojas-Rueda, David, Mark J. Nieuwenhuijsen, Haneen Khreis i Howard Frumkin. "Autonomous Vehicles and Public Health". Annual Review of Public Health 41, nr 1 (2.04.2020): 329–45. http://dx.doi.org/10.1146/annurev-publhealth-040119-094035.
Pełny tekst źródłaWang, Ze, Xiaowei Chen i Xiqun (Michael) Chen. "Ridesplitting is shaping young people’s travel behavior: Evidence from comparative survey via ride-sourcing platform". Transportation Research Part D: Transport and Environment 75 (październik 2019): 57–71. http://dx.doi.org/10.1016/j.trd.2019.08.017.
Pełny tekst źródłaTu, Meiting, Ye Li, Wenxiang Li, Minchao Tu, Olivier Orfila i Dominique Gruyer. "Improving ridesplitting services using optimization procedures on a shareability network: A case study of Chengdu". Technological Forecasting and Social Change 149 (grudzień 2019): 119733. http://dx.doi.org/10.1016/j.techfore.2019.119733.
Pełny tekst źródłaZhang, Zhe, Kun Gao, Hong-Di He, Jin-Ming Yang, Ruo Jia i Zhong-Ren Peng. "How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu". Transportation Research Part D: Transport and Environment 123 (październik 2023): 103912. http://dx.doi.org/10.1016/j.trd.2023.103912.
Pełny tekst źródłaZhang, Xin, Shiquan Zhong, Ning Jia, Shuai Ling, Wang Yao i Shoufeng Ma. "A barrier to the promotion of app-based ridesplitting: Travelers’ ambiguity aversion in mode choice". Transportation Research Part A: Policy and Practice 181 (marzec 2024): 103971. http://dx.doi.org/10.1016/j.tra.2024.103971.
Pełny tekst źródłaZheng, Hongyu, Xiaowei Chen i Xiqun Michael Chen. "How Does On-Demand Ridesplitting Influence Vehicle Use and Purchase Willingness? A Case Study in Hangzhou, China". IEEE Intelligent Transportation Systems Magazine 11, nr 3 (2019): 143–57. http://dx.doi.org/10.1109/mits.2019.2919503.
Pełny tekst źródłaHuang, Guan, Si Qiao i Anthony Gar-On Yeh. "Spatiotemporally heterogeneous willingness to ridesplitting and its relationship with the built environment: A case study in Chengdu, China". Transportation Research Part C: Emerging Technologies 133 (grudzień 2021): 103425. http://dx.doi.org/10.1016/j.trc.2021.103425.
Pełny tekst źródłaSoria, Jason, Ying Chen i Amanda Stathopoulos. "K-Prototypes Segmentation Analysis on Large-Scale Ridesourcing Trip Data". Transportation Research Record: Journal of the Transportation Research Board 2674, nr 9 (7.07.2020): 383–94. http://dx.doi.org/10.1177/0361198120929338.
Pełny tekst źródłaLiu, Xinghua, Wenxiang Li, Ye Li, Jing Fan i Zhiyong Shen. "Quantifying Environmental Benefits of Ridesplitting based on Observed Data from Ridesourcing Services". Transportation Research Record: Journal of the Transportation Research Board, 12.03.2021, 036119812199782. http://dx.doi.org/10.1177/0361198121997827.
Pełny tekst źródłaZhang, Fangda, Shannon C. Roberts i Claudia V. Goldman. "How Do People Prefer Ridesplitting? A Survey Study Focusing on Passenger, Matching, and Trip Characteristics". Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 8.12.2023. http://dx.doi.org/10.1177/21695067231195826.
Pełny tekst źródłaAbkarian, Hoseb, Ying Chen i Hani S. Mahmassani. "Understanding Ridesplitting Behavior with Interpretable Machine Learning Models Using Chicago Transportation Network Company Data". Transportation Research Record: Journal of the Transportation Research Board, 11.09.2021, 036119812110363. http://dx.doi.org/10.1177/03611981211036363.
Pełny tekst źródłaZhang, Xin, Shiquan Zhong, Ning Jia, Wang Yao i Shoufeng Ma. "A Barrier to the Promotion of Ridesplitting: Travelers' Ambiguity Aversion in App-Based Ridesplitting". SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4250283.
Pełny tekst źródłaLu, Qing-Long, Moeid Qurashi i Constantinos Antoniou. "A ridesplitting market equilibrium model with utility-based compensation pricing". Transportation, 28.09.2022. http://dx.doi.org/10.1007/s11116-022-10339-z.
Pełny tekst źródłaLi, Yafei, Huijun Sun, Ying Lv i Ximing Chang. "Ridesplitting demand prediction via spatiotemporal multi-graph convolution network". Expert Systems with Applications, styczeń 2024, 123207. http://dx.doi.org/10.1016/j.eswa.2024.123207.
Pełny tekst źródłaLi, Yafei, Huijun Sun i Ying Lv. "Collaborative matching of ridesplitting and connection in the ridesourcing market". Fundamental Research, sierpień 2021. http://dx.doi.org/10.1016/j.fmre.2021.07.004.
Pełny tekst źródłaWang, Lei, Wenxiang Li, Jinxian Weng, Dong Zhang i Wanjing Ma. "Do low-carbon rewards incentivize people to ridesplitting? Evidence from structural analysis". Transportation, 22.06.2022. http://dx.doi.org/10.1007/s11116-022-10302-y.
Pełny tekst źródłaQu, Boting, Xinyu Ren, Jun Feng i Xin Wang. "A Dynamic Ridesplitting Method With Potential Pick-Up Probability Based on GPS Trajectories". IEEE Transactions on Intelligent Transportation Systems, 2021, 1–17. http://dx.doi.org/10.1109/tits.2021.3095765.
Pełny tekst źródłaChen, Xiaowei, Hongyu Zheng, Ze Wang i Xiqun Chen. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires". Transportation, 27.08.2018. http://dx.doi.org/10.1007/s11116-018-9916-1.
Pełny tekst źródłaHansen, Todd, i Ipek Nese Sener. "Strangers On This Road We Are On: A Literature Review of Pooling in On-Demand Mobility Services". Transportation Research Record: Journal of the Transportation Research Board, 27.09.2022, 036119812211238. http://dx.doi.org/10.1177/03611981221123801.
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