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

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

Kang Liu2019

Article2019

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

Kang Liu · Song Gao · Feng Lu · Jincheng Jiang · Ling Yin

77 citations·0/0 files stored·Cities

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Geographic Information Systems Studies Urban Design and Spatial Analysis Human Mobility and Location-Based Analysis

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References

2012Crowdsourcing Geographic Knowledge 1999Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr 2008Modelling vague places with knowledge from the Web 2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership 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 Lisbon 2015Extracting and understanding urban areas of interest using geotagged photos

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2022Estimating urban functional distributions with semantics preserved POI embedding 2022Characterizing metro stations via urban function: Thematic evidence from transit-oriented development (TOD) in Hong Kong 2022Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai 2023Conflating point of interest (POI) data: A systematic review of matching methods

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Details

Year2019

Typearticle

Published2019-12-12

VenueCities

ISSN-L0264-2751

Languageen

Citations77

Files0 public / 0

ShelfGeographic Information Systems Studies

Identifiers

doi10.1016/j.cities.2019.102561

openalex_workW2996079839

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2022Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest

2023Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China

2021Evaluating the Space Use of Large Railway Hub Station Areas in Beijing toward Integrated Station-City Development

2020Tourist Attraction and Points of Interest (POIs) Using Search Engine Data: Case of Seoul