Identifying localized amenities for gentrification using a machine learning-based framework

Zeng, Jin; Yue, Yang; Gao, Qi-Li; Gu, Yanyan; Ma, Chunlan

doi:10.1016/j.apgeog.2022.102748

Cited by 11 publications

(1 citation statement)

References 54 publications

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“…Cai et al examined the layout characteristics and identified existing issues within the retail industry by analyzing cities of varying scales and using them as case studies [35]. Zeng et al investigated the functional convenience of upscale retail within communities and examined its interrelationships with land use, services, and facility scales [36]. Wang et al examined the distribution characteristics and influencing factors of the retail industry at the street level [37].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Distribution Characteristics and Influencing Factors on the Retail Industry in the Central Urban Area of Lanzhou City at the Scale of Daily Living Circles

Lu,

Yu,

Xin

et al. 2023

IJGI

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Using a people-centered approach to new urbanization, China has committed to building high-quality living environments through improving urban livability and promoting a stronger sense of belonging among residents. Retail stores serve as one of the most immediate and accessible destinations for residents’ consumption, and their spatial configuration has a direct impact on residents’ satisfaction and happiness in their daily lives. In this context, for the present study we selected the central urban area of Lanzhou City as the case study area. Based on POI data and using the daily life circle as the basic unit, we applied methods such as kernel density analysis, hotspot analysis, and the Shannon–Weaver index to analyze spatial distribution patterns of the retail industry. Furthermore, we applied Geodetector to analyze the impacts of four factors that are closely related to the retail industry: economic level, convenience level, market demand, and location. The conclusions are as follows: In the central urban area of Lanzhou, the retail industry exhibits a belt distribution pattern along the Yellow River. The density of distribution gradually decreases from the city center toward the outskirts, forming four prominent agglomeration centers. Overall, within the central urban area of Lanzhou, the spatial distribution of the retail industry at the scale of daily living circles shows that only a small proportion of the industry demonstrates noticeable clustering effects. In terms of spatial patterns, the retail industry at the scale of the daily living circles demonstrates similar characteristics in terms of diversity and agglomeration distribution. It exhibits a decreasing trend from the urban core toward the peripheral areas. The agglomeration distribution pattern of the retail industry in the central urban area of Lanzhou is considerably influenced by market demand, economic level, convenience, and location. The spatial distribution of the retail industry in the central urban area is primarily influenced by economic factors and convenience, while market demand plays a major role and location has a relatively minimal impact.

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Section: Literature Reviewmentioning

confidence: 99%