Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai

Yu, Liangli; Wang, Fahui; Xiao, Yu; Gao, Song

doi:10.1016/j.landurbplan.2012.02.012

Cited by 376 publications

(234 citation statements)

References 50 publications

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“…In this study, we partitioned the study area into 1 km × 1 km cells as the nodes of the networks because of the lack of TAZ data. This scale is determined on the basis of relevant studies (Liu et al, 2012b) that suggest that the cell size is detailed enough to depict the urban structure. Additionally, the cells have a size similar to TAZs, acting as appropriate substitutions to represent relatively uniform socio-economic characteristics.…”

Section: Network Construction and Community Detectionmentioning

confidence: 99%

“…While large volumes of movements can be extracted from big geospatial data, most city-level studies still treat the origination and the end of a trip as two unrelated activities attempting to, for example, depict the city structure from the land use perspective (Guo et al, 2012;Liu et al, 2012b;Toole et al, 2012;Reades et al, 2009). With regard to studies that systematically view intra-city flows, Tanahashi et al (2012) applied graph-partitioning methods to the human mobility network extracted from phone records in New York City, focusing on human travel patterns between the partitioned sub-regions instead of revealing regional structures.…”

Section: Introductionmentioning

confidence: 99%

“…The recent availability of large volumes of taxi Global Positioning System (GPS) trajectories has strongly promoted related studies, including transportation analysis (Fang et al, 2012;Gao et al, 2013;Li et al, 2011), urban planning (Veloso et al, 2011;Zheng et al, 2011), land use analysis (Kang et al, 2013;Liu et al, 2012b;Qi et al, 2011;Yuan et al, 2012), human mobility patterns (Liang et al, 2012;Liu et al, 2012a), and spatial model calibration (Yue et al, 2012). Although taxi trajectories are unable to reflect continuous displacements of specific people, which are crucial for the time geography framework, they describe collective human mobility patterns of intra-city travels with accurate positions and time stamps.…”

Section: Introductionmentioning

confidence: 99%

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Structural, optical and electrical properties of Sb2Te3 films prepared by pulsed laser deposition

Liu

Deng

Cao

et al. 2015

Journal of Crystal Growth

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Delineating travel patterns and city structure has long been a core research topic in transport geography. Different from the physical structure, the city structure beneath the complex travel-flow system shows the inherent connection patterns within the city. On the basis of massive taxi trip data of Shanghai, we built spatially-embedded networks to model the intra-city spatial interactions and introduced network science methods into the issue. The community detection method is applied to reveal sub-regional structures, and several network measures are used to examine the properties of sub-regions. Considering the differences between long-and short-distance trips, we reveal a two-level hierarchical polycentric city structure of Shanghai. Further explorations on sub-network structures demonstrate that urban sub-regions have broader internal spatial interactions, while suburban centers are more influential in local traffic. By incorporating the land use of centers from the travel pattern perspective, we investigate sub-region formation and center-local places interaction patterns. This study provides insights into using emerging data sources to reveal travel patterns and city structures, which could potentially aid in applying urban and transportation policies. The sub-regional structures revealed in this study are more easily interpreted for transportation-related issues than other structures, such as administrative divisions.

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Section: Network Construction and Community Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Structural, optical and electrical properties of Sb2Te3 films prepared by pulsed laser deposition

Liu

Deng

Cao

et al. 2015

Journal of Crystal Growth

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“…Liu et al (2012) [20] used a seven-day taxi trajectory data to study the relationship between the urban land uses and traffic patterns. Their study shows that human mobility data from smartphones can provide a good estimation for urban land use patterns in a timely fashion, which can help urban planners design better routes for mitigating traffic and improving public services.…”

Section: Introductionmentioning

confidence: 99%

Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, China

Wang

Tsou

et al. 2016

Sustainability

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Abstract:In fast-growing cities, especially large cities in developing countries, land use types are changing rapidly, and different types of land use are mixed together. It is difficult to assess the land use types in these fast-growing cities in a timely and accurate way. To address this problem, this paper presents a multi-source data mining approach to study dynamic urban land use patterns. Spatiotemporal social media data reveal human activity patterns in different areas, social media text data reflects the topics discussed in different areas, and Points of Interest (POI) reflect the distribution of urban facilities in different regions. Human activity patterns, topics of discussion on social media, and the distribution of urban facilities in different regions were combined and analyzed to infer urban land use patterns. We collected 9.5 million geo-tagged Chinese social media (Sina-Weibo) messages from January 2014 to July 2014 in the urban core areas of Beijing and compared them with 385,792 commercial Points of Interest (POI) from Datatang (a Chinese digital data content provider). To estimate urban land use types and patterns in Beijing, a regular grid of 400 m × 400 m was created to divide the urban core areas into 18,492 cells. By analyzing the temporal frequency trends of social media messages within each cell using K-means clustering algorithm, we identified seven types of land use clusters in Beijing: residential areas, university dormitories, commercial areas, work areas, transportation hubs, and two types of mixed land use areas. Text mining, word clouds, and the distribution analysis of POI were used to verify the estimated land use types successfully. This study can help urban planners create up-to-date land use patterns in an economic way and help us better understand dynamic human activity patterns in a city.

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“…One way is to find routes among the data that are popular. This information can be used to make route recommendations to users [9] or to help in road network improvements and urban planning [10,11]. The service can be provided to the clients in the form of Software as a Service (SaaS), where the users can look for popular routes matching their interests near their location, e.g., running tracks that lasted at least 30 min, were longer than 5 km and were recorded in June.…”

Section: Introductionmentioning

confidence: 99%

Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy

Sainio

Westerholm

Oksanen

2015

IJGI

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The breakthrough of GPS-equipped smartphones has enabled the collection of track data from human mobility on massive scales that can be used in route recommendation, urban planning and traffic management. In this work we present a fast map server that can generate and visualize heat maps of popular routes online from massive sports track data based on client preferences, e.g., running routes lasting less than an hour. The heat maps shown respect user privacy by not showing routes with less than a predefined number of different users, for instance five. The results are represented to the client using a dynamic tile layer. The current implementation uses data collected by the Sports Tracker mobile application with over 800,000 different tracks and 2.8 billion GPS data points. Stress tests indicate that the server can handle hundreds of simultaneous client requests in a single server configuration.

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Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai

Cited by 376 publications

References 50 publications

Structural, optical and electrical properties of Sb2Te3 films prepared by pulsed laser deposition

Structural, optical and electrical properties of Sb2Te3 films prepared by pulsed laser deposition

Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, China

Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy

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