A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks
文献类型：期刊论文
| 作者 | Wang, Shaohua1,3; Gao, Song4; Feng, Xin1; Murray, Alan T.1; Zeng, Yuan2 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2018 |
| 卷号 | 32期号:7页码:1368-1390 |
| 关键词 | Route planning network analysis spatial optimization shortest-path heuristics |
| ISSN号 | 1365-8816 |
| DOI | 10.1080/13658816.2018.1431838 |
| 通讯作者 | Gao, Song(song.gao@wisc.edu) |
| 英文摘要 | Given different types of constraints on human life, people must make decisions that satisfy social activity needs. Minimizing costs (i.e. distance, time, or money) associated with travel plays an important role in perceived and realized social quality of life. Identifying optimal interaction locations on road networks when there are multiple moving objects (MMO) with space-time constraints remains a challenge. In this research, we formalize the problem of finding dynamic ideal interaction locations for MMO as a spatial optimization model and introduce a context-based geoprocessing heuristic framework to address this problem. As a proof of concept, a case study involving identification of a meetup location for multiple people under traffic conditions is used to validate the proposed geoprocessing framework. Five heuristic methods with regard to efficient shortest-path search space have been tested. We find that the R* tree-based algorithm performs the best with high quality solutions and low computation time. This framework is implemented in a geographic information systems environment to facilitate integration with external geographic contextual information, e.g. temporary road barriers, points of interest, and real-time traffic information, when dynamically searching for ideal meetup sites. The proposed method can be applied in trip planning, carpooling services, collaborative interaction, and logistics management. |
| WOS关键词 | SUSTAINABLE URBAN-TRANSPORTATION ; SPACE-TIME PRISMS ; WEBER-PROBLEM ; GEOGRAPHICAL INFORMATION ; SHORTEST PATHS ; OPENSTREETMAP ; OPTIMIZATION ; UNCERTAINTY ; ALGORITHM |
| 资助项目 | Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison from the Wisconsin Alumni Research Foundation[135-AAC5663] ; National Postdoctoral International Exchange Program of China[20150081] |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000432634200006 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison from the Wisconsin Alumni Research Foundation ; National Postdoctoral International Exchange Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54964]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Gao, Song |
| 作者单位 | 1.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA 2.Esri Inc, Redlands, CA USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA |
| 推荐引用方式 GB/T 7714 | Wang, Shaohua,Gao, Song,Feng, Xin,et al. A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2018,32(7):1368-1390. |
| APA | Wang, Shaohua,Gao, Song,Feng, Xin,Murray, Alan T.,&Zeng, Yuan.(2018).A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,32(7),1368-1390. |
| MLA | Wang, Shaohua,et al."A context-based geoprocessing framework for optimizing meetup location of multiple moving objects along road networks".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 32.7(2018):1368-1390. |
入库方式： OAI收割
来源：地理科学与资源研究所
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