71 citations · 144 across the 10 of their papers we have counts for
10 papers
Perspectives on stability and mobility of transit passenger's travel behaviour through smart card data
Zhiyong Cui, Ying Long
Existing studies have extensively used spatiotemporal data to discover the mobility patterns of various types of travellers. Smart card data (SCD) collected by the automated fare c…
Discovering functional zones using bus smart card data and points of interest in Beijing
Haoying Han, Xiang Yu, Ying Long
Cities comprise various functional zones, including residential, educational, commercial zones, etc. It is important for urban planners to identify different functional zones and u…
Early Birds, Night Owls,and Tireless/Recurring Itinerants: An Exploratory Analysis of Extreme Transit Behaviors in Beijing, China
Ying Long, Xingjian Liu, Jiangping Zhou +1
This paper seeks to understand extreme public transit riders in Beijing using both traditional household survey and emerging new data sources such as Smart Card Data (SCD). We focu…
Profiling underprivileged residents with mid-term public transit smartcard data of Beijing
Ying Long, Xingjian Liu, Jiangping Zhou +1
Mobility of economically underprivileged residents in China has seldom been well profiled due to privacy issue and the characteristics of Chinese over poverty. In this paper, we id…
Population spatialization and synthesis with open data
Ying Long, Zhenjiang Shen
Individuals together with their locations & attributes are essential to feed micro-level applied urban models (for example, spatial micro-simulation and agent-based modeling) for p…
Big Models: From Beijing to the whole China
Ying Long, Kang Wu, Jianghao Wang +1
This paper propose the concept of big model as a novel research paradigm for regional and urban studies. Big models are fine-scale regional/urban simulation models for a large geog…
Mapping parcel-level urban areas for a large geographical area
Ying Long, Yao Shen
As a vital indicator for measuring urban development, urban areas are expected to be identified explicitly and conveniently with widely available dataset thereby benefiting the pla…
Simulating urban expansion in the parcel level for all Chinese cities
Ying Long, Kang Wu, Qizhi Mao
Large-scale models are generally associated with big modelling units in space, like counties or super grids (several to dozens km2). Few applied urban models can pursue large-scale…
Automated identification and characterization of parcels (AICP) with OpenStreetMap and Points of Interest
Ying Long, Xingjian Liu
Against the paucity of urban parcels in China, this paper proposes a method to automatically identify and characterize parcels (AICP) with OpenStreetMap (OSM) and Points of Interes…
Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing
Ying Long, Jean-Claude Thill
Location Based Services (LBS) provide a new perspective for spatiotemporally analyzing dynamic urban systems. Research has investigated urban dynamics using GSM (Global System for…