# An Analysis of Food Accessibility of Mountain Cities in China: A Case Study of Chongqing
## 6 Conclusions and Further Work  
The present study constructed a food accessibility model based on the supermarket-market-retail structure and configured the service capacity of the model based on POIs and point-of-sale classification of food for sale in Chongqing. The enhanced two-step method was then combined with the Rest service based on Baidu's batch counting path to calculate the community food accessibility metrics algorithm. The relationships among  
Figure 14: R\({}^{2}\) coeffects of grains, oils, and eggs; vegetables; fruits; seafood; meat; and milk in Chongqing.  
neighborhood house price, house age, and food accessibility were explored using local Moran's statistics and the geographically weighted regression method to reveal the social equity of food accessibility in Chongqing. The results showed generally good accessibility of the different types of food in Chongqing, besides low accessibility of meat and seafood in a few newly built neighborhoods far from the urban center. Meanwhile, an examination of the relationship between house price data and food accessibility indicated no significant inequity in food accessibility in Chongqing. There was a positive correlation between the age of a house and accessibility to seafood, meat, vegetables and fruits in the new city extension area. This result indicates the need for government agencies to update living facilities within newly built urban areas to ensure food accessibility for residents.  
The assessment method in this paper is applicable to food accessibility analysis in all types of cities. Weightings for different stores can be set based mainly on the store turnover and consumer flow. Another method that refers to consumer flow can also be used to obtain the weights for different types of stores in the further work. We will also consider further using expert systems and hierarchical analysis methods to determine more accurate parameters in our future work. A 20 min walking time was used as a condition for food desert detection to take into account the inconvenience of transportation in Chongqing as a mountain city. For general cities, the assessment of the 15 min living circle range is of significance for research. The present study limited exploration to the regional balance of food accessibility and economic development in Chongqing from the perspective of house prices. Future studies could extend the current study to examine further correlations, such as community age distribution, employment status, literacy level, and gross domestic product (GDP).  
Conceptualization, Y.H. and Y.S.; data curation, Y.H. and N.L.; funding acquisition, Y.S.; investigation, H.P. and N.L.; methodology, Y.H. and H.P.; resources, Y.Z.; supervision, Y.S.; validation, Y.Z.; writing--original draft, Y.H.; writing--review and editing, Y.H. and H.P. All authors have read and agreed to the published version of the manuscript.  
This research was funded by the National Natural Science Foundation of China: 41631175, 42077003; the Fund of Chongqing Social Science Planning Project: 2020 QNGL39.  
Not applicable.  
The computational environment used during this research included an HP Zbook 17 laptop with a Windows 10 operating system, 16 GB RAM, and a 500 GB hard disk. The data mentioned (community points with price and age attributes, different kinds of store points) and the code used are available in a GitHub repository: [[https://github.com/Yufeng05](https://github.com/Yufeng05) He/FoodAccessAnalysis]([https://github.com/Yufeng05](https://github.com/Yufeng05) He/FoodAccessAnalysis).  
The authors declare no conflict of interest.