|Table of Contents|

Scale of parking facilities in scenic spots adjacent with city landscape under constraint of traffic carrying capacity(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2023年3期
Page:
116-124
Research Field:
交通工程
Publishing date:

Info

Title:
Scale of parking facilities in scenic spots adjacent with city landscape under constraint of traffic carrying capacity
Author(s):
GUAN Shan1 LI Cong-ying2 FAN Jia-hao2 ZHANG Hong-tao2 ZHANG Tai2
(1. School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China)
Keywords:
traffic engineering scenic spots adjacent with city landscape traffic carrying capacity scale of parking facility space-time consumption method
PACS:
U491.7
DOI:
10.19721/j.cnki.1671-8879.2023.03.012
Abstract:
In order to alleviate the traffic congestion on the road network around the scenic spots adjacent with city landscape, and optimize the supply of parking facilities within the scenic spots, the traffic carrying capacity of the road network around the scenic spots adjacent with city landscape and its constraining effect on the scale of parking facilities were studied. The interaction between the dynamic traffic and the parking on the surrounding roads around scenic spots adjacent with city landscape was explored, and the model of parking supply and demand in scenic spots based on the traffic characteristics of the road network around scenic spots was constructed. The influence of small and medium-sized cars and regular buses on the traffic carrying capacity of the road network was analyzed, and a model of traffic carrying capacity of the road network around scenic spots adjacent with city landscape was constructed. Based on the constraint of scenic traffic capacity on the scale of parking facilities, the model of parking facilities supply in scenic areas was constructed. The model was applied to Xi'an Kunming Pond scenic area and its surrounding roads. The results show that the traffic carrying capacity of the road network around Kunming Pond is6 413 veh/h, and the number of parking facilities supply matching the traffic carrying capacity of the road network is 7 581, while the current number of parking facilities supply in is5 988, with a shortage of 1 593 parking spaces in the Kunming Pond scenic area. The supply method of parking facilities under the constraint of traffic carrying capacity of scenic spots adjacent with city landscape, which provides a new idea for optimizing the structure of surrounding road facilities and formulating the parking management policy of scenic spots, and the research has reference significance to alleviate traffic congestion of city-scene transportation system, improve the status of parking facilities in scenic spots adjacent with city landscape, regulate the traffic network of scenic spots and the supply and demand state of scenic resources.5 tabs, 7 figs, 25 refs.

References:

[1] 杨 云,乔晓青,肖邱瑞.可持续发展与城市路网交通承载力关系探析[J].重庆交通大学学报(社会科学版),2013,13(5):27-30.
YANG Yun,QIAO Xiao-qing,XIAO Qiu-rui.Analysis on the relationship between sustainabledevelopment and urban road network carrying capacity[J].Journal of Chongqing JiaotongUniversity(Social Sciences Edition),2013,13(5):27-30.
[2]陈春妹,任福田,荣 建.路网容量研究综述[J].公路交通科技,2002,19(3):97-101.
CHEN Chun-mei,REN Fu-tian,RONG Jian.Review of road network capacity[J].Journal ofHighway and Transportation Research and Development,2002,19(3):97-101.
[3]CHAO C,ZHANG Y B.Study on traffic carrying capacity of Tangshan City[C]//IEEE.Proceedings of 2011 International Conference on Computer Science and Service System(CSSS).New York:IEEE,2011:2642-2646.
[4]GAO Y H,QU Z W,SONG X M,et al.Modeling of urban road network traffic carryingcapacity based on equivalent traffic flow[J].Simulation Modelling Practice andTheory,2022,115:102462.
[5]邓 娜,袁振洲.基于改进时空耗散法的交通承载力理论模型研究[J].公路,2017,62(6):211-215.
DENG Na,YUAN Zhen-zhou.Research on theoretical model of traffic carrying capacity based onimproved time and space exhaustion method[J].Highway,2017,62(6):211-215.
[6]白同舟,刘雪杰,李 先.加强交通承载力约束的内涵辨析:以北京市为例[J].城市交通,2019,17(5):91-98.
BAI Tong-zhou,LIU Xue-jie,LI Xian.Discussions on transportation capacity as a constraint for urban development:Taking Beijing as an example[J].Urban Transport ofChina,2019,17(5):91-98.
[7]齐 喆,张贵祥.北京市交通综合承载力评价与提升策略[J].生态经济,2016,32(1):82-84,124.
QI Zhe,ZHANG Gui-xiang.Research on evaluation and development strategy of comprehensive traffic carrying capacity in Beijing[J].Ecological Economy,2016,32(1):82-84,124.
[8]詹歆晔,郁亚娟,郭怀成,等.特大城市交通承载力定量模型的建立与应用[J].环境科学学报,2008,28(9):1923-1931.
ZHAN Xin-ye,YU Ya-juan,GUO Huai-cheng,et al.Modeling and application of metropolitantransportation support capacity[J].Acta Scientiae Circumstantiae,2008,28(9):1923-1931.
[9]吴爱民.控详阶段大城市新城交通承载力研究[D].南京:南京理工大学,2017.
WU Ai-min.Study on traffic carrying capacity of big cities and new towns in detailed control stage[D].Nanjing:Nanjing University of Science and Technology,2017.
[10]金 雪.基于多模式网络交通承载力的产业新城土地开发强度研究[D].南京:东南大学,2021.
JIN Xue.Research on land development intensity of new industrial town based on carryingcapacity of multi-mode traffic network[D].Nanjing:Southeast University,2021.
[11]WEI X X,SHEN L Y,LI J Y,et al.An alternative method for assessing urban transportationcarrying capacity[J].Ecological Indicators,2022,142:109299.
[12]VOLODIN A,GUDKOVA N,ASTAFIEV A,et al.Impact of carrying capacity on the functioning of the railway network[J].MATEC Web of Conferences,2020,329:01015.
[13]白 玉,薛 昆,杨晓光.基于路网容量的停车需求预测方法[J].交通运输工程学报,2004,4(4):49-52.
BAI Yu,XUE Kun,YANG Xiao-guang.Forecasting method of parking-demand based oncapacity-of-network[J].Journal of Traffic and Transportation Engineering,2004,4(4):49-52.
[14]杨忠振,夏天成.基于路网容量的城市中心商业区停车设施供给研究[J].交通运输工程与信息学报,2006,4(2):1-5.
YANG Zhong-zhen,XIA Tian-cheng.Study on the supply of parking facility in central commercialdistrict based on the capacity of road network[J].Journal of Transportation Engineering andInformation,2006,4(2):1-5.
[15]刘 俊.静态交通与路网流量的互动机理探讨[D].武汉:华中科技大学,2011.
LIU Jun.Research on interactional mechanism between static traffic and road-network traffic flow[D].Wuhan:Huazhong University of Science and Technology,2011.
[16]单博文.基于道路服务水平的停车需求预测[J].武汉理工大学学报(交通科学与工程版),2012,36(3):541-544.
SHAN Bo-wen.Parking demand forecasting based on road level of services[J].Journal of WuhanUniversity of Technology(Transportation Science & Engineering),2012,36(3):541-544.
[17]李成利.路网容量约束下的停车供给模型研究[D].西安:长安大学,2015.
LI Cheng-li.Study on parking supply model based on road network capacity restriction[D].Xi'an:Chang'an University,2015.
[18]余 杰.城景相依型景区交通组织优化研究:以杭州西湖风景名胜区为例[D].南京:东南大学,2016.
YU Jie.Research on traffic organization optimization in scenic spots featuring with city landscapedependency:Take Hangzhou West Lake Scenic as an example[D].Nanjing:Southeast University,2016.
[19]马健霄.城市局域交通网络容量研究[D].南京:南京林业大学,2008.
MA Jian-xiao.Study on urban local traffic network capacity[D].Nanjing:Nanjing Forestry University,2008.
[20]牛馨雅.城市停车泊位供给规模研究[D].济南:山东大学,2016.
NIU Xin-ya.Study on the scale of urban parking plot[D].Jinan:Shandong University,2016.
[21]李小静,王花兰,范媛媛,等.城市道路交通承载力研究综述[J].交通运输系统工程与信息,2022,22(6):15-25.
LI Xiao-jing,WANG Hua-lan,FAN Yuan-yuan,et al.Literature review on urban road traffic carrying capacity[J].Journal of Transportation Systems Engineering and InformationTechnology,2022,22(6):15-25.
[22]张东明,姚梦佳,周雪梅,等.开发地块周边路网交通承载力余量计算方法[J].青岛理工大学学报,2022,43(5):110-119.
ZHANG Dong-ming,YAO Meng-jia,ZHOU Xue-mei,et al.Calculation method for traffic bearingcapacity margin of road network around development plot[J].Journal of Qingdao University ofTechnology,2022,43(5):110-119.
[23]何南柱.大城市中心商业区交通承载能力研究[D].重庆:重庆交通大学,2015.
HE Nan-zhu.Study on the traffic capacity of city central business district[D].Chongqing:Chongqing Jiaotong University,2015.
[24]张程程.交通方式结构的改变对岛屿城市交通承载力的影响研究[D].重庆:重庆交通大学,2014.
ZHANG Cheng-cheng.Study on the impact of the change of transportation structure on traffic capacity of island city[D].Chongqing:Chongqing Jiaotong University,2014.
[25]常 铮.基于实时交通数据的道路网实际承载力时空消耗模型[D].哈尔滨:东北林业大学,2022.
CHANG Zheng.Spatial and temporal consumption method of road network actual carryingcapacity based on real-time traffic data[D].Harbin:Northeast Forestry University,2022.

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Last Update: 2023-06-30