World Regional Studies ›› 2022, Vol. 31 ›› Issue (5): 998-1008.DOI: 10.3969/j.issn.1004-9479.2022.05.2021021
Previous Articles Next Articles
Jiaqi ZHANG1(), Xiaoke GUAN1, Xiaohui WANG2
Received:
2021-01-11
Revised:
2021-04-06
Online:
2022-09-15
Published:
2022-09-15
作者简介:
张家旗(1988-),男,讲师,博士,研究方向为城市空间大数据挖掘与分析,E-mail:2018023@zzuli.edu.cn。
基金资助:
Jiaqi ZHANG, Xiaoke GUAN, Xiaohui WANG. Spatial pattern characteristics and convenience evaluation of tourism resources in Zhengzhou[J]. World Regional Studies, 2022, 31(5): 998-1008.
张家旗, 关小克, 王肖惠. 郑州市旅游资源空间格局特征及便利度评价[J]. 世界地理研究, 2022, 31(5): 998-1008.
Add to citation manager EndNote|Ris|BibTeX
URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2022.05.2021021
重分类后 | 重组后 | 数量/个 |
---|---|---|
风景名胜、旅游景点、国家级景点、省级景点 | 景点名胜 | 994 |
公园、动物园、植物园、水族馆 | “三园一馆” | 298 |
寺庙道观、教堂 | 宗教场所 | 302 |
城市广场 | 城市广场 | 156 |
纪念馆 | 纪念馆 | 24 |
Tab.1 Reorganization of tourism POI after reclassification
重分类后 | 重组后 | 数量/个 |
---|---|---|
风景名胜、旅游景点、国家级景点、省级景点 | 景点名胜 | 994 |
公园、动物园、植物园、水族馆 | “三园一馆” | 298 |
寺庙道观、教堂 | 宗教场所 | 302 |
城市广场 | 城市广场 | 156 |
纪念馆 | 纪念馆 | 24 |
区域 | 景点名胜/个 | “三园一馆”/个 | 宗教场所/个 | 城市广场/个 | 纪念馆/个 | 共计/个 | 密度/(个/km2) |
---|---|---|---|---|---|---|---|
二七区 | 47 | 28 | 20 | 16 | 2 | 113 | 0.71 |
惠济区 | 57 | 14 | 18 | 9 | 1 | 99 | 0.43 |
金水区 | 96 | 63 | 22 | 32 | 3 | 216 | 0.88 |
上街区 | 0 | 5 | 3 | 3 | 0 | 11 | 0.67 |
管城回族区 | 57 | 39 | 21 | 16 | 2 | 135 | 0.68 |
中原区 | 34 | 46 | 24 | 17 | 0 | 121 | 0.62 |
新郑市 | 270 | 28 | 30 | 20 | 2 | 350 | 0.39 |
新密市 | 30 | 2 | 16 | 4 | 0 | 52 | 0.05 |
巩义市 | 117 | 17 | 35 | 10 | 7 | 186 | 0.18 |
登封市 | 74 | 8 | 23 | 3 | 3 | 111 | 0.09 |
荥阳市 | 130 | 32 | 68 | 19 | 4 | 253 | 0.26 |
中牟市 | 82 | 16 | 22 | 7 | 0 | 127 | 0.09 |
Tab.2 Quantitative distribution of tourism resources in different districts and counties of Zhengzhou
区域 | 景点名胜/个 | “三园一馆”/个 | 宗教场所/个 | 城市广场/个 | 纪念馆/个 | 共计/个 | 密度/(个/km2) |
---|---|---|---|---|---|---|---|
二七区 | 47 | 28 | 20 | 16 | 2 | 113 | 0.71 |
惠济区 | 57 | 14 | 18 | 9 | 1 | 99 | 0.43 |
金水区 | 96 | 63 | 22 | 32 | 3 | 216 | 0.88 |
上街区 | 0 | 5 | 3 | 3 | 0 | 11 | 0.67 |
管城回族区 | 57 | 39 | 21 | 16 | 2 | 135 | 0.68 |
中原区 | 34 | 46 | 24 | 17 | 0 | 121 | 0.62 |
新郑市 | 270 | 28 | 30 | 20 | 2 | 350 | 0.39 |
新密市 | 30 | 2 | 16 | 4 | 0 | 52 | 0.05 |
巩义市 | 117 | 17 | 35 | 10 | 7 | 186 | 0.18 |
登封市 | 74 | 8 | 23 | 3 | 3 | 111 | 0.09 |
荥阳市 | 130 | 32 | 68 | 19 | 4 | 253 | 0.26 |
中牟市 | 82 | 16 | 22 | 7 | 0 | 127 | 0.09 |
旅游资源类型 | 中心坐标 | 长半轴/km | 短半轴/km | 方位角/° | 面积/km2 | 扁率 |
---|---|---|---|---|---|---|
景点名胜 | 113°33′10″E,34°39′12″N | 40.33 | 25.90 | 96.84 | 3 280.65 | 0.36 |
“三园一馆” | 113°35′00″E,34°43′37″N | 28.60 | 18.27 | 90.37 | 1 641.46 | 0.36 |
宗教场所 | 113°29′00″E,34°42′20″N | 36.12 | 23.13 | 81.80 | 2 625.03 | 0.36 |
城市广场 | 113°35′20″E,34°42′54″N | 30.22 | 21.00 | 110.49 | 1 994.14 | 0.31 |
纪念馆 | 113°23′20″E,34°41′56″N | 37.51 | 18.97 | 78.17 | 2 235.37 | 0.49 |
Tab.3 Standard deviation ellipse analysis results of different types of tourism resources in Zhengzhou
旅游资源类型 | 中心坐标 | 长半轴/km | 短半轴/km | 方位角/° | 面积/km2 | 扁率 |
---|---|---|---|---|---|---|
景点名胜 | 113°33′10″E,34°39′12″N | 40.33 | 25.90 | 96.84 | 3 280.65 | 0.36 |
“三园一馆” | 113°35′00″E,34°43′37″N | 28.60 | 18.27 | 90.37 | 1 641.46 | 0.36 |
宗教场所 | 113°29′00″E,34°42′20″N | 36.12 | 23.13 | 81.80 | 2 625.03 | 0.36 |
城市广场 | 113°35′20″E,34°42′54″N | 30.22 | 21.00 | 110.49 | 1 994.14 | 0.31 |
纪念馆 | 113°23′20″E,34°41′56″N | 37.51 | 18.97 | 78.17 | 2 235.37 | 0.49 |
旅游资源 | 交通设施 | 酒店 | 餐饮 | 纪念馆 | 宗教场所 | 城市广场 | 景点名胜 | “三园一馆” | 汇总 |
---|---|---|---|---|---|---|---|---|---|
交通设施 | 1.00 | 0.91 | 0.92 | 0.36 | 0.49 | 0.73 | 0.30 | 0.81 | 0.56 |
酒店 | 0.91 | 1.00 | 0.88 | 0.34 | 0.43 | 0.62 | 0.27 | 0.70 | 0.50 |
餐饮 | 0.92 | 0.88 | 1.00 | 0.30 | 0.46 | 0.69 | 0.24 | 0.78 | 0.50 |
纪念馆 | 0.36 | 0.34 | 0.30 | 1.00 | 0.32 | 0.27 | 0.16 | 0.33 | 0.29 |
宗教场所 | 0.49 | 0.43 | 0.46 | 0.32 | 1.00 | 0.46 | 0.31 | 0.51 | 0.55 |
城市广场 | 0.73 | 0.62 | 0.69 | 0.27 | 0.46 | 1.00 | 0.31 | 0.75 | 0.58 |
景点名胜 | 0.30 | 0.27 | 0.24 | 0.16 | 0.31 | 0.31 | 1.00 | 0.32 | 0.92 |
“三园一馆” | 0.81 | 0.70 | 0.78 | 0.33 | 0.51 | 0.75 | 0.32 | 1.00 | 0.62 |
旅游汇总 | 0.56 | 0.50 | 0.50 | 0.29 | 0.55 | 0.58 | 0.92 | 0.62 | 1.00 |
Tab.4 Spatial correlation analysis results of tourism resources with transportation, catering and hotel
旅游资源 | 交通设施 | 酒店 | 餐饮 | 纪念馆 | 宗教场所 | 城市广场 | 景点名胜 | “三园一馆” | 汇总 |
---|---|---|---|---|---|---|---|---|---|
交通设施 | 1.00 | 0.91 | 0.92 | 0.36 | 0.49 | 0.73 | 0.30 | 0.81 | 0.56 |
酒店 | 0.91 | 1.00 | 0.88 | 0.34 | 0.43 | 0.62 | 0.27 | 0.70 | 0.50 |
餐饮 | 0.92 | 0.88 | 1.00 | 0.30 | 0.46 | 0.69 | 0.24 | 0.78 | 0.50 |
纪念馆 | 0.36 | 0.34 | 0.30 | 1.00 | 0.32 | 0.27 | 0.16 | 0.33 | 0.29 |
宗教场所 | 0.49 | 0.43 | 0.46 | 0.32 | 1.00 | 0.46 | 0.31 | 0.51 | 0.55 |
城市广场 | 0.73 | 0.62 | 0.69 | 0.27 | 0.46 | 1.00 | 0.31 | 0.75 | 0.58 |
景点名胜 | 0.30 | 0.27 | 0.24 | 0.16 | 0.31 | 0.31 | 1.00 | 0.32 | 0.92 |
“三园一馆” | 0.81 | 0.70 | 0.78 | 0.33 | 0.51 | 0.75 | 0.32 | 1.00 | 0.62 |
旅游汇总 | 0.56 | 0.50 | 0.50 | 0.29 | 0.55 | 0.58 | 0.92 | 0.62 | 1.00 |
因素 | 0~1 km | 1~2 km | 2~3 km | 3~4 km | 4~5 km | 权重 |
---|---|---|---|---|---|---|
旅游资源 | 5 | 4 | 3 | 2 | 1 | 0.390 |
交通设施 | 5 | 4 | 3 | 2 | 1 | 0.220 |
餐饮 | 5 | 4 | 3 | 2 | 1 | 0.195 |
酒店 | 5 | 4 | 3 | 2 | 1 | 0.195 |
Tab.5 Weight of tourism resource convenience influencing factors and its score setting in different buffer zones
因素 | 0~1 km | 1~2 km | 2~3 km | 3~4 km | 4~5 km | 权重 |
---|---|---|---|---|---|---|
旅游资源 | 5 | 4 | 3 | 2 | 1 | 0.390 |
交通设施 | 5 | 4 | 3 | 2 | 1 | 0.220 |
餐饮 | 5 | 4 | 3 | 2 | 1 | 0.195 |
酒店 | 5 | 4 | 3 | 2 | 1 | 0.195 |
1 | 张城铭,翁时秀,保继刚.1978年改革开放以来中国旅游业发展的地理格局.地理学报,2019,74(10):1980-2000. |
ZHANG C, WENG S, BAO J. The geographical pattern of China's tourism development since the reform and opening-up in 1978. Acta Geographica Sinica, 2019, 74(10):1980-2000. | |
2 | 朱鹤,刘家明,陶慧,等.基于网络信息的北京市旅游资源吸引力评价及空间分析.自然资源学报,2015,30(12):2081-2094. |
ZHU H, LIU J, TAO H, et al. Evaluation and spatial analysis of tourism resources attraction in Beijing based on the internet information. Journal of Natural Resources, 2015, 30(12):2081-2094. | |
3 | 刘俊,李云云,林楚,等.长江旅游带旅游资源空间格局研究.长江流域资源与环境,2016,25(7):1009-1015. |
LIU J, LI Y, LIN C, et al. Spatial pattern of the tourism resources of Yangtze River tourism belt. Resources and Environment in the Yangtze Basin, 2016, 25(7):1009-1015. | |
4 | 徐薛艳,龙涛.上海中心城区海外游客兴趣点(POI)时空分布特征研究.世界地理研究,2018,27(5):147-156. |
XU X, LONG T. Spatial-temporal distribution of oversea tourists' Points of Interest (POI) in central urban area of Shanghai. World Regional Studies, 2018, 27(5):147-156. | |
5 | 徐冬,黄震方,吕龙,等.基于POI挖掘的城市休闲旅游空间特征研究——以南京为例. 地理与地理信息科学,2018,34(1):59-64. |
XU D, HUANG Z, LV L, et al. Research on spatial characteristics of urban leisure tourism based on POI mining: A case study of Nanjing city. Geography and Geo-Information Science, 2018, 34(1):59-64. | |
6 | SANTOS F, ALMEIDA A, MARTINS C, et al. Using POI functionality and accessibility levels for delivering personalized tourism recommendations. Computers, Environment and Urban Systems, 2019(77):101173. |
7 | SUGIMOTO K, OTA K, SUZUKI S. Visitor mobility and spatial structure in a local urban tourism destination: GPS tracking and network analysis. Sustainability, 2019, 11(3):919. |
8 | LI J, XU L, TANG L, et al. Big data in tourism research: A literature review. Tourism Management, 2018(68):301-323. |
9 | XU F, NASH N, WHITMARSH L. Big data or small data? A methodological review of sustainable tourism. Journal of Sustainable Tourism,2020, 28(2):144-163. |
10 | ZHANG J. Big data and tourism geographies–An emerging paradigm for future study. Tourism Geographies, 2018, 20(5):899-904. |
11 | VU H, LI G, LAW R, et al. Tourist activity analysis by leveraging mobile social media data. Journal of Travel Research,2018, 57(7):883-898. |
12 | ALBUQUERQUE H, COSTA C, MARTINS F. The use of geographical information systems for tourism marketing purposes in Aveiro region (Portugal). Tourism Management Perspectives, 2018(26):172-178. |
13 | MUNRO J, KOBRYN H, PALMER D, et al. Charting the coast: Spatial planning for tourism using public participation GIS. Current Issues in Tourism, 2019, 22(4):486-504. |
14 | 汪德根.城市旅游空间结构演变与优化研究—以苏州市为例.城市发展研究,2007,14(1):21-26. |
WANG D.The spatial structure of urban tourism: Its evolution and optimization—A case study of Suzhou city.Urban Studies,2007,14(1):21-26. | |
15 | 李维维,马晓龙.中国大城市旅游休闲业态的空间格局研究:西安案例.人文地理,2019,34(6):153-160. |
LI W, MA X. Spatial pattern and mechanisms of the tourism and leisure industry in china's big cities: A case study of Xi'an. Human Geography, 2019, 34(6):153-160. | |
16 | 刘逸,保继刚,朱毅玲.基于大数据的旅游目的地情感评价方法探究.地理研究,2017,36(6):1091-1105. |
LIU Y, BAO J, ZHU Y. Exploring emotion methods of tourism destination evaluation: A big-data approach. Geographical Research, 2017, 36(6):1091-1105. | |
17 | 仲宁,吴小根,汪侠,等.基于网络文本分析的宜兴旅游地形象差异研究.资源开发与市场,2018,34(8):1168-1172. |
ZHONG N, WU X, WANG X, et al. Research on difference of Yixing tourism destination image based on web text analysis. Resource Development & Market, 2018, 34(8):1168-1172. | |
18 | 甄峰,秦萧,王波.大数据时代的人文地理研究与应用实践.人文地理,2014,29(3):1-6. |
ZHEN F, QIN X, WANG B. Human geography research and practical application in big data era. Human Geography, 2014, 29(3):1-6. | |
19 | 杨振山,龙瀛.大数据对人文—经济地理学研究的促进与局限.地理科学进展, 2015(4): 410-417. |
YANG Z, LONG Y. Opportunities and limitations of big data applications to human and economic geography: The state of the art. Progress in Geography, 2015(4):410-417. | |
20 | 薛冰,李京忠,肖骁,等.基于兴趣点(POI)大数据的人地关系研究综述:理论,方法与应用. 地理与地理信息科学,2019,35(6):51-60. |
XUE B, LI J, XIAO X, et al. Overview of man-land relationship research based on POI data: Theory, method and application. Geography and Geo-Information Science,2019,35(6):51-60. | |
21 | 刘大均,胡静,陈君子.武汉市休闲旅游地空间结构及差异研究.经济地理,2014,34(3):176-181. |
LIU D, HU J, CHEN J.The spatial structure and disparities of leisure tourism destinations in Wuhan. Economic Geography,2014,34(3):176-181. | |
22 | 杜兰,葛军莲,王宏志,等.基于POI网络信息的景区最优游客接待中心选址研究——以南京钟山景区智慧旅游为例.华中师范大学学报(自然科学版), 2014, 48(4): 613-619. |
DU L, GE J, WANG H, et al. Study on scenic-oriented optimal site selection of tourist service center based on the POI network data—A case of intelligent tourism of Zhongshan Scenic, Nanjing. Journal of Huazhong Normal University (Nat. Sci.), 2014, 48(4): 613-619. | |
23 | 范梦余,陈怡宁,张辉.呼伦贝尔游客POI空间格局与移动轨迹研究——基于地理标记照片的实证分析.干旱区资源与环境, 2019, 33(6): 203-208. |
FAN M, CHEN Y, ZHANG H. Spatial patterns of tourist POI and tourist moving trajectory in Hulunbuir city. Journal of Arid Land Resources and Environment, 2019,3 3(6): 203-208. | |
24 | 李维维,陈田,马晓龙.西安城市旅游休闲业态空间热点特征及形成机制.地理科学,2020,40(3):437-446. |
LI W, CHEN T, MA X. Spatial hotspots' characteristics and mechanisms of the urban tourism and leisure industry in Xi'an city. Scientia Geographica Sinica, 2020, 40(3): 437-446. | |
25 | 常荠亦.便利度是衡量旅游质量的重要指标.光明日报,2020-01-02(010). |
CHANG J. Convenience is an important indicator of tourism quality. Guangming Daily,2020-01-02(010). | |
26 | 作合.有便利度才有满意度.人民日报,2020-01-15(019). |
ZUO H. Satisfaction comes from convenience. People's Daily,2020-01-15(019). | |
27 | 王博杰,何思源,闵庆文,等.开发适宜性视角的农业文化遗产地旅游资源评价框架——以浙江省庆元县为例.中国生态农业学报,2020,28(9):1382-1396. |
WANG B, HE S, MIN Q, et al. Framework for evaluating the development suitability of tourism resources in agricultural heritage systems: A case study of Qingyuan county in Zhejiang province. Chinese Journal of Eco-Agriculture,2020,28(9):1382-1396. | |
28 | 李倩,曲凌雁.城市旅游流网络结构特征及其影响因素——以上海市为例.世界地理研究,2021,30(1):114-124. |
LI Q, QU L. The network structure and influencing factors of the tourist flow within the city: The case of Shanghai. World Regional Studies, 2021,30(1):114-124. | |
29 | 吴必虎,俞曦.旅游规划原理.北京:中国旅游出版社,2010. |
WU B, YU X. Principles of Tourism Planning. Beijing: China Tourism Press,2010. | |
30 | 张景奇,史文宝,修春亮.POI数据在中国城市研究中的应用.地理科学,2021,41(1):140-148. |
ZHANG J, SHI W, XIU C. Urban research using points of interest data in China. Scientia Geographica Sinica,2021,41(1):140-148. | |
31 | 张家旗,陈爽, MAPUNDA D. 坦桑尼亚城市体系演变与空间分布特征.世界地理研究,2018,27(1):22-33. |
ZHANG J, CHEN S, MAPUNDA D. Evolution and spatial distribution of the urban system in Tanzania. World Regional Studies, 2018,27(1):22-33. | |
32 | 吴先赋,李永树,王金明,等.基于POI数据的成都市区生活设施空间格局分析.测绘地理信息,2019,44(3):122-126. |
WU X, LI Y, WANG J, et al. Spatial pattern analysis of living facilities in Chengdu urban area based on POI data. Journal of Geomatics,2019,44(3):122-126. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||