机构

• 地理科学与资源研究所 [6]
• 自动化研究所 [3]
• 数学与系统科学研究院 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [9]
• 会议论文 [1]

发表日期

• 2023 [2]
• 2022 [5]
• 2021 [1]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 页码: 27 作者:  Zhao, Tianhong;  Huang, Zhengdong;  Tu, Wei;  Biljecki, Filip;  Chen, Long   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/11/16 Graph deep learning  multiview learning  travel demand prediction  multimodal transportation  smart card data   Length L-function for network-constrained point data 期刊论文  OAI收割 TRANSACTIONS IN GIS, 2023, 卷号: N/A 作者:  Fang, Zidong;  Song, Ci;  Shu, Hua;  Chen, Jie;  Liu, Tianyu   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/04/06 Understanding taxi ridership with spatial spillover effects and temporal dynamics 期刊论文  OAI收割 CITIES, 2022, 卷号: 125, 页码: 14 作者:  Zhu, Pengyu;  Huang, Jie;  Wang, Jiaoe;  Liu, Yu;  Li, Jiarong   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/09/21 Taxi demand  Spatial econometric model  Spatial autocorrelation  Big data  Built environment   Understanding taxi ridership with spatial spillover effects and temporal dynamics 期刊论文  OAI收割 CITIES, 2022, 卷号: 125, 页码: 14 作者:  Zhu, Pengyu;  Huang, Jie;  Wang, Jiaoe;  Liu, Yu;  Li, Jiarong   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/09/21 Taxi demand  Spatial econometric model  Spatial autocorrelation  Big data  Built environment   Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14 作者:  Mi, Chunlei;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：25/0  |  提交时间：2022/09/21 taxi-calling demands prediction  residual attention graph convolutional long short-term memory networks  deep learning  pattern dependence   Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14 作者:  Mi, Chunlei;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：21/0  |  提交时间：2022/09/21 taxi-calling demands prediction  residual attention graph convolutional long short-term memory networks  deep learning  pattern dependence   Investigating Human Travel Patterns from an Activity Semantic Flow Perspective: A Case Study within the Fifth Ring Road in Beijing Using Taxi Trajectory Data 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 23 作者:  Liu, Yusi;  Gao, Xiang;  Yi, Disheng;  Jiang, Heping;  Zhao, Yuxin   |  收藏  |  浏览/下载：18/0  |  提交时间：2022/09/21 activity semantic  activity inference  Bayesian rules  flow clustering  travel behaviors  taxi trajectory   MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文  OAI收割 IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0 作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang   |  收藏  |  浏览/下载：33/0  |  提交时间：2021/06/16 Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning   Taxi-hailing platforms: Inform or Assign drivers? 期刊论文  OAI收割 TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 卷号: 142, 页码: 197-212 作者:  Sun, Luoyi;  Teunter, Ruud H.;  Hua, Guowei;  Wu, Tian   |  收藏  |  浏览/下载：17/0  |  提交时间：2021/01/14 Sharing economy  Two-sided market  Peer-to-peer market  Ride-sourcing platform   Exploring the Side Information Fusion Method with Spatial-temporal Model for Taxi Demand Prediction 会议论文  OAI收割 中国 厦门, 2020-7-24 作者:  Jia Mou;  Yu Liu;  Dongchang Liu   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/05/27 SideInfo-STNet  Spatial-temporal data  Taxi demand prediction  Deep learning