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[1]
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Spatial pattern and influencing factors of urban elderly meal assistance facilities: a case study from Beijing, China, based on multi-source data
Journal of Asian Architecture and Building Engineering,
2025
DOI:10.1080/13467581.2025.2536778
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[2]
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Unraveling the consumer geography from the review big data: A supply-demand duality perspective using store density and expenditure intensity
Journal of Retailing and Consumer Services,
2025
DOI:10.1016/j.jretconser.2025.104423
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[3]
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How Information and Communications Technology Affects the Micro-Location Choices of Stores on On-Demand Food Delivery Platforms: Evidence from Xinjiekou’s Central Business District in Nanjing
ISPRS International Journal of Geo-Information,
2024
DOI:10.3390/ijgi13020044
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[4]
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Spatial patterns and influencing factors of takeaway consumption in 56 cities in China
Journal of Cleaner Production,
2024
DOI:10.1016/j.jclepro.2024.142712
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[5]
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The evolving landscape of Istanbul's coffee shops: Navigating disruption in a changing urban environment
Journal of Design for Resilience in Architecture and Planning,
2024
DOI:10.47818/DRArch.2024.v5si150
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[6]
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Exploring spatial pattern of eateries in Calabar City, Cross River State, Nigeria
Spatial Information Research,
2022
DOI:10.1007/s41324-022-00490-1
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[7]
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Housing typologies from different markets and prices throughout Istanbul
Journal of Design for Resilience in Architecture and Planning,
2022
DOI:10.47818/DRArch.2022.v3i2050
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[8]
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Hotspot Detection and Spatiotemporal Evolution of Catering Service Grade in Mountainous Cities from the Perspective of Geo-Information Tupu
ISPRS International Journal of Geo-Information,
2021
DOI:10.3390/ijgi10050287
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[9]
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The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles
Journal of Retailing and Consumer Services,
2021
DOI:10.1016/j.jretconser.2020.102302
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