收稿日期: 2022-09-08
修回日期: 2022-12-17
网络出版日期: 2023-09-21
基金资助
甘肃省教育厅“双一流”科研重点项目(GSSYLXM-04);甘肃省哲学社会科学规划项目(2021YB058);甘肃省高等学校创新基金项目(2020B-113);国家社科基金一般项目(15BJY037);中央引导地方科技发展资金项目(22ZY1QA005)
Influence of road network form on urban vitality in the main urban area of Lanzhou City
Received date: 2022-09-08
Revised date: 2022-12-17
Online published: 2023-09-21
便捷发达的交通有利于提升城市活力,从而促进城市的高质量发展。为深入挖掘城市活力变化机理,以兰州市主城区为例,基于路网形态和地理大数据,使用空间设计网络分析方法和地理加权回归模型分析路网对城市活力的影响。结果表明:(1)城市活力随着路网向外逐渐降低,变化规律与路网接近度呈现高度一致性。(2)在提升兰州市主城区城市活力方面,穿行度作用较为微弱,但有利于发挥兰州市在兰西城市群中的联通作用。(3)街道和城区的衔接处和边缘接近度较高,黄河两岸城市活力值受地理限制存在较强的差异性。(4)路网形态布局合理的地区往往会吸引更多的商业和服务活动,具有更大的市场潜力和更多的经济机会。研究结果可以明确路网形态对城市活力的影响,为兰州市主城区提升城市活力提供参考,有助于促进城市活力的提升。
卢北 , 曾俊伟 , 钱勇生 , 魏谞婷 , 杨民安 , 李海军 . 兰州市主城区路网形态对城市活力的影响分析[J]. 干旱区地理, 2023 , 46(8) : 1333 -1343 . DOI: 10.12118/j.issn.1000-6060.2022.450
Flexible transportation is conducive to enhancing urban vitality and thus drives the high-quality development of cities. In order to characterize urban vitality in a more practical way, the impact of its influencing factors such as road network morphology, the spatial heterogeneity of these factors, and its mechanisms of change must be explored to provide a basis for future planning and lay a theoretical foundation for further urban vitality improvement. This paper uses the raster calculator in ArcGIS to quantify the city of Baidu’s population heat map and characterize its urban vitality. Based on road network morphology and geographic big data, sDNA is used to calculate the topological structure index of the road network, and the GWR model is used to analyze the spatial heterogeneity of the impact of road network morphology and other factors on urban vitality. sDNA emphasizes the integration and coordination of the urban transportation network. It can better reflect actual traffic location and has advantages in the analysis of multi-level traffic networks. The GWR model can explore the spatial heterogeneity of the impact of urban vitality influencing factors. The results demonstrate the following. (1) Urban vitality gradually decreases as the road network spreads outward, and the change rule is highly consistent with the network quantity penalized by euclidean distace (NQPDE). (2) Two phase betweenness has little effect on improving the urban vitality of Lanzhou City, but it plays a key node and connectivity role in the Lanzhou-Xining urban agglomeration. (3) The NQPDE value of the intersection and edge of the street and the city are high, but the urban vitality values on both sides of the Yellow River are markedly different due to geographical restrictions. For areas with relatively low urban vitality, the key to enhancing vitality lies in the establishment of basic service facilities and the rational allocation of branches. The rational planning of the bridges connecting the two sides will bring new changes to the urban vitality of Lanzhou City. In summary, areas with rational network layouts tend to attract more business and service activities, have greater market potential, and more economic opportunities. The research results can help clarify the influence of road network form on urban vitality, provide a reference for improving urban vitality in the main urban area of Lanzhou City, and help promote and improve urban vitality in general.
[1] | Row A T, Jacobs J. The death and life of great American cities[J]. The Yale Law Journal, 1962, 71(8): 1597, doi: 10.2307/794509. |
[2] | Lynch K. A theory of good city form[M]. Cambridge, MA: MIT Press, 1981. |
[3] | Montgomery J. Editorial urban vitality and the culture of cities[J]. Planning Practice & Research, 1995, 10(2): 101-110. |
[4] | Montgomery J. Making a city: Urbanity, vitality and urban design[J]. Journal of Urban Design, 1998, 3(1): 93-116. |
[5] | Sung H, Lee S, Cheon S H. Operationalizing Jane Jacobs’s urban design theory: Empirical verification from the great city of Seoul, Korea[J]. Journal of Planning Education and Research, 2015, 35(2): 117-130. |
[6] | Still B, Simmonds D. Parking restraint policy and urban vitality[J]. Transport Reviews, 2000, 20(3): 291-316. |
[7] | Lopes M N, Camanho A S. Public green space use and consequences on urban vitality: An assessment of European cities[J]. Social Indicators Research, 2013, 113(3): 751-767. |
[8] | Ye Y, Li D, Liu X J. How block density and typology affect urban vitality: An exploratory analysis in Shenzhen, China[J]. Urban Geography, 2018, 39(4): 631-652. |
[9] | Chion M. Producing urban vitality: The case of dance in San Francisco[J]. Urban Geography, 2009, 30(4): 416-439. |
[10] | 金延杰. 中国城市经济活力评价[J]. 地理科学, 2007, 27(1): 9-16. |
[10] | [Jin Yanjie. Study on urban economic vitality index in China[J]. Scientia Geographica Sinica, 2007, 27(1): 9-16.] |
[11] | 刘黎, 徐逸伦, 江善虎, 等. 基于模糊物元模型的城市活力评价[J]. 地理与地理信息科学, 2010, 26(1): 73-77. |
[11] | [Liu Li, Xu Yilun, Jiang Shanhu, et al. Evaluation of urban vitality based on fuzzy matter-element model[J]. Geography and Geo-information Science, 2010, 26(1): 73-77.] |
[12] | 汪胜兰, 李丁, 冶小梅, 等. 城市活力的模糊综合评价研究——以湖北主要城市为例[J]. 华中师范大学学报(自然科学版), 2013, 47(3): 440-445, 449. |
[12] | [Wang Shenglan, Li Ding, Ye Xiaomei, et al. Fuzzy comprehensive evaluation on the urban vitality: A case of the main cities in Hubei Province[J]. Journal of Huazhong Normal University (Natural Sciences Edition), 2013, 47(3): 440-445, 449.] |
[13] | 杨朗, 张晓明, 周丽娜. 大数据视角下广州老城活力时空特征及影响机制[J]. 城市学刊, 2020, 41(4): 40-46. |
[13] | [Yang Lang, Zhang Xiaoming, Zhou Lina. Analysis of the temporal and spatial characteristics of vitality and influencing mechanism from the perspective of big data: Case study of Guangzhou old town[J]. Journal of Urban Studies, 2020, 41(4): 40-46.] |
[14] | 唐璐, 许捍卫, 丁彦文. 融合多源地理大数据的城市街区综合活力评价[J]. 地球信息科学学报, 2022, 24(8): 1575-1588. |
[14] | [Tang Lu, Xu Hanwei, Ding Yanwen. Comprehensive vitality evaluation of urban blocks based on multi-source geographic big data[J]. Journal of Geo-information Science, 2022, 24(8): 1575-1588.] |
[15] | Guo X, Chen H F, Yang X P. An evaluation of street dynamic vitality and its influential factors based on multi-source big data[J]. ISPRS International Journal of Geo-information, 2021, 10(3): 143, doi: 10.3390/land11050646. |
[16] | Fang C L, He S W, Wang L. Spatial characterization of urban vitality and the association with various street network metrics from the multi-scalar perspective[J]. Frontiers in Public Health, 2021, 9: 677910, doi: 10.3389/fpubh.2021.677910. |
[17] | 王娜, 吴健生, 李胜, 等. 基于多源数据的城市活力空间特征及建成环境对其影响机制研究——以深圳市为例[J]. 热带地理, 2021, 41(6): 1280-1291. |
[17] | [Wang Na, Wu Jiansheng, Li Sheng, et al. Spatial features of urban vitality and the impact of built environment on them based on multi-source data: A case study of Shenzhen[J]. Tropical Geography, 2021, 41(6): 1280-1291.] |
[18] | 毛炜圣, 钟业喜. 长江中游城市群城市活力水平空间格局及影响因素[J]. 世界地理研究, 2020, 29(1): 86-95. |
[18] | [Mao Weisheng, Zhong Yexi. Spatial pattern and influencing factors of urban vitality in the middle reaches of the Yangtze River[J]. World Regional Studies, 2020, 29(1): 86-95.] |
[19] | 叶宇, 庄宇. 新区空间形态与活力的演化假说: 基于街道可达性、建筑密度和形态以及功能混合度的整合分析[J]. 国际城市规划, 2017, 32(2): 43-49. |
[19] | [Ye Yu, Zhuang Yu. A hypothesis of urban morphogenesis and urban vitality in newly built-up areas: Analyses based on street accessibility, building density and functional mixture[J]. Urban Planning International, 2017, 32(2): 43-49.] |
[20] | 吴莞姝, 党煜婷, 赵凯. 基于多维感知的城市活力空间特征研究[J]. 地球信息科学学报, 2022, 24(10): 1867-1882. |
[20] | [Wu Wanshu, Dang Yuting, Zhao Kai. Spatial characteristics of urban vitality based on multi-dimensional perception[J]. Journal of Geo-information Science, 2022, 24(10): 1867-1882.] |
[21] | 朱婷婷, 涂伟, 乐阳, 等. 利用地理标签数据感知城市活力[J]. 测绘学报, 2020, 49(3): 365-374. |
[21] | [Zhu Tingting, Tu Wei, Le Yang, et al. Sensing urban vibrancy using geo-tagged data[J]. Acta Geodaetica et Cartographica Sinica, 2020, 49(3): 365-374.] |
[22] | Liu H, Li X M. Understanding the driving factors for urban human settlement vitality at street level: A case study of Dalian, China[J]. Land, 2022, 11(5): 646, doi: 10.3390/land11050646. |
[23] | 高玉祥, 董晓峰, 梁颖. 基于GIS的宁夏路网空间特征研究[J]. 干旱区地理, 2021, 44(1): 268-276. |
[23] | [Gao Yuxiang, Dong Xiaofeng, Liang Ying. Spatial features of road networks in Ningxia based on GIS[J]. Arid Land Geography, 2021, 44(1): 268-276.] |
[24] | 梁军, 彭嘉恒. 考虑路网拓扑时变的交通拥堵自适应预测方法研究[J]. 中国公路学报, 2022, 35(9): 157-170. |
[24] | [Liang Jun, Peng Jiaheng. Research on an adaptive traffic congestion prediction method considering a time-varying network topology[J]. China Journal of Highway and Transport, 2022, 35(9): 157-170.] |
[25] | Li J G, Li J W, Yuan Y Z, et al. Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi’an, Shaanxi, China[J]. Cities, 2019, 86: 62-70. |
[26] | Li X, Qian Y S, Zeng J W, et al. The influence of strip-city street network structure on spatial vitality: Case studies in Lanzhou, China[J]. Land, 2021, 10(11): 1107, doi: 10.3390/land10111107. |
[27] | 姜栋, 赵文吉, 王艳慧, 等. 地理加权回归的城市道路时空运行态势空间网格计算方法[J]. 武汉大学学报(信息科学版), 2003, 48(6): 988-996. |
[27] | [Jiang Dong, Zhao Wenji, Wang Yanhui, et al. Analysis of urban road spatiotemporal situation by geographically weighted regression with spatial grid computing method[J]. Geomatics and Information Science of Wuhan University, 2003, 48(6): 988-996.] |
[28] | 周璐瑶. 基于手机信令数据的武汉市城市活力与影响因素分析[D]. 武汉: 武汉大学, 2020. |
[28] | [Zhou Luyao. Analysis of urban vitality and influencing factors based on mobile phone signaling data in Wuhan[D]. Wuhan: Wuhan University, 2020.] |
[29] | 董磊磊, 潘竟虎, 王卫国, 等. 基于遥感和GWR的兰州中心城区夏季热场格局及与土地覆盖的关系[J]. 土壤, 2018, 50(2): 404-413. |
[29] | [Dong Leilei, Pan Jinghu, Wang Weiguo, et al. Spatiotemporal pattern of summer thermal field and its relationship with land cover in Lanzhou based on RS and GWR[J]. Soils, 2018, 50(2): 404-413.] |
[30] | 柏荷, 明義森, 刘启航, 等. 基于MGWR模型的黄河流域GPM卫星降水数据降尺度研究[J]. 干旱区地理, 2023, 46(7): 1052-1062. |
[30] | [Bai He, Ming Yisen, Liu Qihang, et al. Downscaling of GPM satellite precipitation data in the Yellow River Basin based on MGWR mode[J]. Arid Land Geography 2023, 46(7): 1052-1062.] |
[31] | Tobler W R. A computer movie simulating urban growth in the Detroit region[J]. Economic Geography, 1970, 46: 234-240. |
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