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作品数：56被引量：72H指数：4
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Exploring metro vibrancy and its relationship with built environment:a cross-city comparison using multi-source urban data被引量：1
《Geo-Spatial Information Science》2022年第2期182-196,共15页Wei Tu Tingting Zhu Chen Zhong Xiaohu Zhang Yang Xu Qingquan Li 
supported by the National Natural Science Foundation of China[grant numbers 42071360 and 71961137003];Natural Science Foundation of Guangdong Provinces[grant number 2019A1515011049];the ESRC under JPI Urban Europe/NSFC[grant number ES/T000287/1];the European Research Council(ERC)under the European Union’s Horizon 2020 research and innova-tion programme[grant number 949670];the Basic Research Program of Shenzhen Science and Technology Innovation Committee[JCYJ20180305125113883].
Recent urban transformations have led to critical reflections on the blighted urban infrastruc-tures and called for re-stimulating vital urban places.Especially,the metro has been recognized as the backbone infrastruc...
关键词：Urban vibrancy spatial-autocorrelation spatial lag model smart card data social media 
ActivityNET:Neural networks to predict public transport trip purposes from individual smart card data and POIs被引量：1
《Geo-Spatial Information Science》2021年第4期711-721,共11页Nilufer Sari Aslam Mohamed R.Ibrahim Tao Cheng Huanfa Chen Yang Zhang 
This work is part of the Consumer Data Research Centre project(ES/L011840/1);funded by the UK Economic and Social Research Council(grant number 1477365).
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,usin...
关键词：Trip purpose prediction smart card data POIs neural networks machine learning 
Measuring positive public transit accessibility using big transit data被引量：3
《Geo-Spatial Information Science》2021年第4期722-741,共20页Tong Zhang Wenyuan Zhang Zhenxuan He 
This work was supported by the National Natural Science Foundation of China[grant number 41871308];the National Key R&D Program of China(International Scientific&Technological Cooperation Program)[grant number 2019YFE0106500];the Fundamental Research Funds for the Central Universities.
Most of the current existing accessibility measures quantify the potential of reaching desirable opportunities across space and time.Nevertheless,these potential measurements only illus-trate the maximum possible acce...
关键词：Public transit positive accessibility smart card data SPATIO-TEMPORAL 
A high-precision heuristic model to detect home and work locations from smart card data被引量：4
《Geo-Spatial Information Science》2019年第1期1-11,共11页Nilufer Sari Aslam Tao Cheng James Cheshire 
This work was funded by the Economic and Social Research Council(ESRC)in the United Kingdom[grant number 1477365].
Smart card-automated fare collection systems now routinely record large volumes of data comprising the origins and destinations of travelers.Processing and analyzing these data open new opportunities in urban modeling...
关键词：Smart card data activity location modeling heuristic primary location model home and work locations human mobility pattern urban activity pattern 
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