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Investigating urban metro stations as cognitive places in cities using points of interest

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References

2012Crowdsourcing Geographic Knowledge578 cited
1999Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands540 cited
2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
2008Modelling vague places with knowledge from the Web345 cited
2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership333 cited
2015Transit-oriented development, integration of land use and transport, and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbon320 cited
2015Extracting and understanding urban areas of interest using geotagged photos310 cited
2015Automated identification and characterization of parcels with OpenStreetMap and points of interest300 cited
2003Where's Downtown?: Behavioral Methods for Determining Referents of Vague Spatial Queries285 cited
2016Developing a TOD typology for Beijing metro station areas271 cited
2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs258 cited
2007Classifying railway stations for sustainable transitions – balancing node and place functions

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202 cited

2010Classifying railway stations for strategic transport and land use planning: Context matters!188 cited

2016A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region188 cited

2014Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership182 cited

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2023Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China37 cited
2021Evaluating the Space Use of Large Railway Hub Station Areas in Beijing toward Integrated Station-City Development29 cited
2020Tourist Attraction and Points of Interest (POIs) Using Search Engine Data: Case of Seoul28 cited
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