成都主城区川菜餐饮业距离衰减效应研究
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摘要
为探究成都川菜餐饮业距离衰减效应,通过网络平台获取成都市区主营川菜的2 108家餐馆的相关数据。以市中心为起点,绘制公交、骑行以及驾车到达餐馆的实际距离与餐馆数量、网络点评数量、消费水平的关系图进行分析,得出以下结果:(1)餐馆的数量在驾车和骑行约5km处,公交约9km处达到峰值,之后出现距离衰减效应。(2)餐馆的平均点评数量在三种交通距离10km以内呈平稳下降,之后呈波动下降,表现出一定的距离衰减效应;(3)餐馆的人均消费中位数在三种交通距离17km～19km以内,基本在40～50元间波动,之后则出现大幅波动,表明消费水平不存在时空距离衰减效应。
In order to explore the distance decay effect of Sichuan cuisine industry,the relevant data of 2 108 restaurants specializing in Sichuan cuisine in downtown Chengdu were obtained through the network platform.Taking the Tianfu square as a starting point,the paper draws a diagram representing the relationship between the actual distance to the restaurants by bus,by bike and by car,and the number of restaurants,the number of online comments and the level of consumption.The analytical results show that:(1) the number of restaurants reaches a peak at about 5km from downtown by car and by bike and 9km from downtown by public transportation,and then the distance decay effect appears;(2) the average number of comments declines steadily for restaurants within 10 km from the downtown by three transportation,and then declines in a fluctuated manner,showing a certain distance decay effect;(3) the median of per capita consumption fluctuates between 40 to 50 Yuan in restaurants within 17 to 19 km from downtown by three transportation means,and then there is a large fluctuation,which indicates that the consumption level does not have the distance decay effect.
In order to explore the distance decay effect of Sichuan cuisine industry,the relevant data of 2 108 restaurants specializing in Sichuan cuisine in downtown Chengdu were obtained through the network platform.Taking the Tianfu square as a starting point,the paper draws a diagram representing the relationship between the actual distance to the restaurants by bus,by bike and by car,and the number of restaurants,the number of online comments and the level of consumption.The analytical results show that:(1) the number of restaurants reaches a peak at about 5km from downtown by car and by bike and 9km from downtown by public transportation,and then the distance decay effect appears;(2) the average number of comments declines steadily for restaurants within 10 km from the downtown by three transportation,and then declines in a fluctuated manner,showing a certain distance decay effect;(3) the median of per capita consumption fluctuates between 40 to 50 Yuan in restaurants within 17 to 19 km from downtown by three transportation means,and then there is a large fluctuation,which indicates that the consumption level does not have the distance decay effect.
引文
[1]Daniels P W.Service Industries:A Geographical Appraisal[M].New York:Routledge Press,2015:21-27.
[2]吴晋峰,包浩生.旅游流距离衰减现象演绎研究[J].人文地理,2005,20(2):62-65.
[3]游群林,卢政营.旅游资源吸引力距离衰减的实证研究:一个多维感知的视角[J].江西财经大学学报,2010,12(3):30-34.
[4]周玲强,毕娟.文化距离对国际旅游目的地选择行为的影响:以中国入境游市场为例[J].浙江大学学报(人文社会科学版),2017,47(4):130-142.
[5]熊伟,吴必虎.大型展会对高星级酒店房价影响的空间分析:以第100届广交会为例[J].旅游学刊,2008,23(2):80-86.
[6]禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报(信息科学版),2016,41(2):221-227.
[7]陶卓霖,程杨,戴特奇,等.公共服务设施空间可达性评价中的参数敏感性分析[J].现代城市研究,2017,32(3):30-35.
[8]Liu W P,Chen W J,Dong C L.Spatial decay of recreational services of urban parks:Characteristics and influencing factors[J].Urban Forestry&Urban Greening,2017(25):130-138.
[9]谭欣,黄大全,赵星烁.北京市主城区餐馆空间分布格局研究[J].旅游学刊,2016,43(2):75-85.
[10]周爱华,张远索,付晓,等.北京城区餐饮老字号空间格局及其影响因素研究[J].世界地理研究,2015,24(1):150-158.
[11]张旭,徐逸伦.南京市餐饮设施空间分布及其影响因素研究[J].热带地理,2009,29(4):362-367.
[12]丁宁,楚新正.乌鲁木齐市餐饮业空间格局及其影响因素研究[J].伊犁师范学院学报(自然科学版),2012(1):37-41.
[13]梁璐.城市餐饮业的空间格局及其影响因素分析:以西安市为例[J].西北大学学报(自然科学版),2007,37(6):925-930.
[14]赖怡琳.广州市城市餐饮产业集群规划设计研究[D].广州:华南理工大学,2012.
[15]黄莹.餐饮业对成都经济发展的影响研究[D].成都:西南财经大学,2011.
[16]程易易.成都市中心区餐饮业空间结构及影响因素研究[D].成都:西南交通大学,2017.
[2]吴晋峰,包浩生.旅游流距离衰减现象演绎研究[J].人文地理,2005,20(2):62-65.
[3]游群林,卢政营.旅游资源吸引力距离衰减的实证研究:一个多维感知的视角[J].江西财经大学学报,2010,12(3):30-34.
[4]周玲强,毕娟.文化距离对国际旅游目的地选择行为的影响:以中国入境游市场为例[J].浙江大学学报(人文社会科学版),2017,47(4):130-142.
[5]熊伟,吴必虎.大型展会对高星级酒店房价影响的空间分析:以第100届广交会为例[J].旅游学刊,2008,23(2):80-86.
[6]禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报(信息科学版),2016,41(2):221-227.
[7]陶卓霖,程杨,戴特奇,等.公共服务设施空间可达性评价中的参数敏感性分析[J].现代城市研究,2017,32(3):30-35.
[8]Liu W P,Chen W J,Dong C L.Spatial decay of recreational services of urban parks:Characteristics and influencing factors[J].Urban Forestry&Urban Greening,2017(25):130-138.
[9]谭欣,黄大全,赵星烁.北京市主城区餐馆空间分布格局研究[J].旅游学刊,2016,43(2):75-85.
[10]周爱华,张远索,付晓,等.北京城区餐饮老字号空间格局及其影响因素研究[J].世界地理研究,2015,24(1):150-158.
[11]张旭,徐逸伦.南京市餐饮设施空间分布及其影响因素研究[J].热带地理,2009,29(4):362-367.
[12]丁宁,楚新正.乌鲁木齐市餐饮业空间格局及其影响因素研究[J].伊犁师范学院学报(自然科学版),2012(1):37-41.
[13]梁璐.城市餐饮业的空间格局及其影响因素分析:以西安市为例[J].西北大学学报(自然科学版),2007,37(6):925-930.
[14]赖怡琳.广州市城市餐饮产业集群规划设计研究[D].广州:华南理工大学,2012.
[15]黄莹.餐饮业对成都经济发展的影响研究[D].成都:西南财经大学,2011.
[16]程易易.成都市中心区餐饮业空间结构及影响因素研究[D].成都:西南交通大学,2017.