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Changfeng Jing, Yanru Hu, Hongyang Zhang, Mingyi Du, Shishuo Xu, Xian Guo and Jie Jiang
The identification of urban functional regions (UFRs) is important for urban planning and sustainable development. Because this involves a set of interrelated processes, it is difficult to identify UFRs using only single data sources. Data fusion methods...
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Csaba Kelen, Pablo Vilarino, Georgios Christou
Pág. 1058 - 1065
New data collection technologies have all, but replaced traditional, site-based data collection methods for trip matrix development in the UK. Event data produced by Mobile Network Operators provides adequate information to identify time and location of ...
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Karlo Kevic, Ana Kuve?dic Divjak and Frederika Welle Donker
The 2019 European Open Data Directive identifies geospatial data as data that could have a major impact on human activities (high-value data, HVD) and advocates its provision as open data (OD), i.e., without barriers to access and re-use. Although Croati...
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Yose Lee and Ducksu Seo
While understanding the dynamic urban network through the concept of regional centrality has provided various implications on the structure and hierarchy of cities, the macroscopic focus of previous studies has largely overlooked the small-scale physical...
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Zhipeng Li and Xinyi Niu
The increasing popularity of intercity commuting is affecting regional development and people?s lifestyles. A key approach to addressing the challenges brought about by intercity commuting is analyzing its determinants. Although spatial nonstationarity s...
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Mochammad Arbi Hadiyat, Bertha Maya Sopha and Budhi Sholeh Wibowo
In the response surface methodology (RSM), the designed experiment helps create interfactor orthogonality and interpretable response models for the purpose of process and design optimization. However, along with the development of data-recording technolo...
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Jane Ahn, Ducksu Seo and Youngsang Kwon
Innovation City projects, aimed at balanced national development in South Korea, have relocated public institutions from the Seoul metropolitan area to provinces, decentralizing population and economic functions, over the past decade. This study measured...
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Yuan Tian, Stephan Winter, Jian Wang
Axhausen, K., Schonfelder, S., Wolf, J., Oliveria, M., & Samaga, U. (2004). Eighty weeks of gps traces, approaches to enriching trip information. Paper presented at the Transportation Research Board Annual Meeting, Washington, DC.
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Viktor Nagy
Pág. 1802 - 1808
The smart cards conquered a serious space in the traffic in the past years. The cards are used like an automatic fare collection system by the different public transport companies. The fare collection is easier, faster and last but not least more efficie...
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Gege Yang, Ci Song, Hua Shu, Jia Zhang, Tao Pei and Chenghu Zhou
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Lianfa Zhang, Jianquan Cheng and Cheng Jin
Due to the emergence of new big data technology, mobility data such as flows between origin and destination areas have increasingly become more available, cheaper, and faster. These improvements to data infrastructure have boosted spatial and temporal mo...
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Xiaogang Guo, Zhijie Xu, Jianqin Zhang, Jian Lu and Hao Zhang
Origin-destination (OD) flow pattern mining is an important research method of urban dynamics, in which OD flow clustering analysis discovers the activity patterns of urban residents and mine the coupling relationship of urban subspace and dynamic causes...
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Tamás Soltész, Attila Aba, Miklós Bánfi, Miklós Kózel
Pág. 680 - 687
Although examination of pedestrian origin-destination (OD) relations of enclosed areas such as pedestrian zones, underpasses and transport hubs is a key point in designing such infrastructure, a very few efficient methods are known in literature. This pa...
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Lee K. Jones, Nathan H. Gartner, Michael Shubov, Chronis Stamatiadis, David Einstein
Pág. 887 - 900
This study develops new methods for network assessment and control by taking explicit account of demand variability and uncertainty using partial sensor and survey data while imposing equilibrium conditions during the data collection phase. The methods c...
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Dmitry Namiot,Mariia Nekraplonna,Oleg Pokusaev,Alexander Chekmarev
Pág. 25 - 30
This article deals with approaches to assessing the use of metro stations based on correspondence matrixes describing passenger movements. Telecom operators currently maintain mobile communication in the metro. This results in operators being able to tra...
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Qiushi Gu, Haiping Zhang, Min Chen and Chongcheng Chen
At present, population mobility for the purpose of tourism has become a popular phenomenon. As it becomes easier to capture big data on the tourist digital footprint, it is possible to analyze the respective regional features and driving forces for both ...
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Ariane Scheffer, Guido Cantelmo, Francesco Viti
Pág. 585 - 592
While estimating origin-destination (OD) demand flows usually requires a large amount of data, nowadays a key issue in traffic engineering is to estimate the trip purpose while protecting user privacy. The aim of this work is to derive from macroscopic a...
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Ju Peng, Huimin Liu, Jianbo Tang, Cheng Peng, Xuexi Yang, Min Deng and Yiyuan Xu
As a hot research topic in urban geography, spatiotemporal interaction analysis has been used to detect the hotspot mobility patterns of crowds and urban structures based on the origin-destination (OD) flow data, which provide useful information for urba...
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Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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