Version 1
: Received: 28 April 2024 / Approved: 28 April 2024 / Online: 29 April 2024 (10:06:46 CEST)
How to cite:
Yang, D.; Xu, P.; Yang, X. Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis. Preprints2024, 2024041910. https://doi.org/10.20944/preprints202404.1910.v1
Yang, D.; Xu, P.; Yang, X. Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis. Preprints 2024, 2024041910. https://doi.org/10.20944/preprints202404.1910.v1
Yang, D.; Xu, P.; Yang, X. Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis. Preprints2024, 2024041910. https://doi.org/10.20944/preprints202404.1910.v1
APA Style
Yang, D., Xu, P., & Yang, X. (2024). Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis. Preprints. https://doi.org/10.20944/preprints202404.1910.v1
Chicago/Turabian Style
Yang, D., Ping Xu and Xiaojuan Yang. 2024 "Exploring the Spatio-Temporal Evolutionary Characteristics of Paomo Restaurants in Xi’an’s Central Urban Area Through POI Data Analysis" Preprints. https://doi.org/10.20944/preprints202404.1910.v1
Abstract
This study investigates the spatial and temporal dynamics of Paomo restaurants in Xi'an's central urban area from 2012 to 2023, leveraging Point of Interest (POI) data through a series of sophisticated analytical techniques. Methods including nearest neighbor distance, kernel density estimation, and band set statistical analysis were employed to thoroughly examine the evolutionary patterns and key drivers influencing the spatial distribution of these eateries. Our results highlight a notable trend of expansion from the central city to the periphery, characterized by significant spatial agglomeration. Initially concentrated in the city center, the distribution of Paomo restaurants has progressively shifted towards multiple distinct cores, reflecting the dual influence of urban policy initiatives and the dynamics of market competition. Furthermore, the research identifies several pivotal factors shaping this spatial distribution, particularly transportation access, residential quality of life, and the availability of commercial services. These findings demonstrate the profound effects of urban spatial reconfiguration and socioeconomic development on the specialized catering industry. The insights gleaned from this analysis offer valuable guidance for urban planners and policymakers, providing strategic recommendations for the spatial planning of specialty catering services to optimize urban layouts and foster sustainable economic progress.
Keywords
POI Data, Paomo Restaurants, Spatio-temporal Evolution Characteristics, Xi'an
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
