Volume 41 Issue 4
Aug.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(4): 163-172
FENG Zhimei, GUO Mingyang, HE Yulong, PENG Hao. A Combined Weighting-improved TOPSIS Method for Evaluating Integration of Urban Greenway-Waterfront Road-municipal Non-motorized Transport Network[J]. Journal of Transport Information and Safety, 2023, 41(4): 163-172. doi: 10.3963/j.jssn.1674-4861.2023.04.017
Citation: FENG Zhimei, GUO Mingyang, HE Yulong, PENG Hao. A Combined Weighting-improved TOPSIS Method for Evaluating Integration of Urban Greenway-Waterfront Road-municipal Non-motorized Transport Network[J]. Journal of Transport Information and Safety, 2023, 41(4): 163-172. doi: 10.3963/j.jssn.1674-4861.2023.04.017
shu

A Combined Weighting-improved TOPSIS Method for Evaluating Integration of Urban Greenway-Waterfront Road-municipal Non-motorized Transport Network

doi: 10.3963/j.jssn.1674-4861.2023.04.017
  • 1.

    Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

  • 2.

    Beijing Municipal Professional Design Institute Co., Ltd.. Beijing 100037, China

  • Received Date: 2023-02-22
    Available Online: 2023-11-23
    Abstract
  • In order to solve the problem of mutual independence and poor connection between urban greenways, waterfront roads, and municipal non-motorized transport network. In a view of the lack of existing studies on the evaluation of the level of tri-networks integration, an evaluation method based on the combination of weighting-improved TOPSIS model is investigated. The traditional TOPSIS method uses ideal solutions to calculate closeness without considering outliers and actual conditions. Therefore, an outlier detection method based on Gaussian distribution is used to deal with extreme outliers, and an evaluation model is established to comprehensively assess the level of tri-network integration. Previous methods of evaluating road network are usually conducted on a single object without considering the integration of multiple objects. Therefore, considering factors of the three networks, travel characteristics of non-motorized transport network and residents' travel convenience, an evaluation system and 13 related indicators, including network connectivity, accessibility and other features, are developed from field surveys. In order to avoid the bias generated by a single weighting, this paper establishes an optimization model of weight combination so that the subjective and objective weights determined by Analytic Hierarchy Process (AHP) and entropy weighting method deviate from the combination of weights to the smallest extent. This study takes the non-motorized transport network in Chaoyang District as a case study for model verification. According to location and function, the network is segmented into 21 greenways, and the ranking for three-network integration of the greenways are obtained. Compared with previous evaluation methods, the results show that the standard deviation of closeness from the improved model is 0.278, which yields better distinction for evaluation of network integration. Besides, the proposed model can accurately identify the main factors that affect the integration of the three networks, and make optimization based on the weight of each indicator. Thus, the proposed evaluation method can be used to a reference to optimize and promote the integration of greenways, waterfront roads and municipal non-motorized transport.

     

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    • References(24)
  • [1]
    住房和城乡建设部. 城市道路工程设计规范(2016年版): CJJ 37—2012[S]. 北京: 中国建筑工业出版社, 2016.

    Ministry of Housing and Urban-rural Construction. Code for design of urban road engineering(2016): CJJ 37—2012[S]. Beijing: China Architecture & Building Press, 2016. (in Chinese)
    [2]
    住房和城乡建设部. 城镇绿道工程技术标准: CJJ/ T304-2019[S]. 北京: 中国建筑工业出版社, 2019.

    Ministry of Housing and Urban-rural Construction. Technical standard for engineering of urban greenway: CJJ/T304-2019[S]. Beijing: China Architecture & Building Press, 2019. (in Chinese)
    [3]
    刘超, 杨一帆, 杨慧祎, 等. 多维度视角下的城市滨水空间设计策略: 以《北京滨水空间城市设计导则》为例[C]. 2020/ 2021中国城市规划年会暨2021中国城市规划学术季, 中国四川成都: 中国城市规划学会, 2021.

    LIU C, YANG Y F, YANG H W, et al. Urban waterfront space design strategy from multi-dimensional perspective: a case study of Urban Design Guidelines for Beijing Waterfront[C]. 2020/2021 China Urban Planning Annual Conference and 2021 China Urban Planning Academic Season. Chengdu: Urban Planning Society of China, 2021. (in Chinese)
    [4]
    聂月明. 考虑慢行交通连通性改善的慢行出行行为分析[D]. 北京: 北京交通大学, 2020.

    NIE Y M. Study on slow traffic travel behavior considering the improvement of slow traffic connectivity[D]. Beijing: Beijing Jiaotong University, 2020. (in Chinese)
    [5]
    马瑞. 基于CAE的北京旧城历史街区慢行交通可达性评价研究[D]. 北京: 北京工业大学, 2020.

    MA R. Research on accessibility evaluation of slow traffic in historical street of Beijing's old city based on CAE[D]. Beijing: Beijing University of Technology, 2020. (in Chinese)
    [6]
    HU B B, ZHONG Z F, ZHANG Y L, et al. Understanding the influencing factors of bicycle-sharing demand based on residents' trips[J]. Physica A: Statistical Mechanics and Its Applications, 2022, 586: 126472. doi: 10.1016/j.physa.2021.126472
    [7]
    钱星雨. 公共交通网络可达性测算与改善策略研究[D]. 北京: 北京交通大学, 2021.

    QIAN X Y. Research on accessibility modelling measurement and improvement strategy of public transport network[D]. Beijing: Beijing Jiaotong University, 2021. (in Chinese)
    [8]
    朱战强, 黄存忠, 柳林, 等. "绿道-邻里"视角下建成环境对城市绿道使用的影响: 以广州为例[J]. 热带地理, 2019, 39(2): 247-253. https://www.cnki.com.cn/Article/CJFDTOTAL-RDDD201902010.htm

    ZHU Z Q, HUANG C Z, LIU L, et al. Influence of built environment on urban greenway use from the perspective of greenway-neighborhood relationships: acase study of Guangzhou, China[J]. Tropical Geography, 2019, 39(2): 247-253. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-RDDD201902010.htm
    [9]
    唐艺家, 裴男才, 施招婉, 等. 广州市绿道网络连通性、可达性及其对城市化的响应[J]. 生态学杂志, 2022, 41(9): 1804-1812. doi: 10.13292/j.1000-4890.202206.004

    TANG Y J, PEI N C, SHI Z W, et al. The connectivity and accessibility of Guangzhou greenway network and its response to urbanization[J]. Chinese Journal of Ecology, 2022, 41(9): 1804-1812. (in Chinese) doi: 10.13292/j.1000-4890.202206.004
    [10]
    ZENG P, XU W X, LIU B B, et al. Walkability assessment of metro catchment area: a machine learning method based on the fusion of subject-objective perspectives[J]. Frontiers in Public Health, 2022, 10(6): 1086277.
    [11]
    MU T, LAO Y. A study on the walkability of Zijingang east campus of Zhejiang University: based on network distance walk score[J]. Sustainability, 2022, 14(17): 11108. doi: 10.3390/su141711108
    [12]
    闫欣欣, 袁振洲, 毛思捷, 等. 基于熵权-TOPSIS模型的慢行交通与城市设计协调评价方法[J]. 公路交通科技, 2018, 35(9): 107-114. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201809016.htm

    YAN X X, YUAN Z Z, MAO S J, et al. Coordination evaluation of non-motorized traffic and urban design based on entropy weight-TOPSIS model[J]. Journal of Highway and Transportation Research and Development, 2018, 35(9): 107-114. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK201809016.htm
    [13]
    施洲, 刘东东, 纪锋, 等. 超大型沉井基础的施工风险评估[J]. 西南交通大学学报, 2021, 56(6): 1241-1249. https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT202106014.htm

    SHI Z, LIU D D, JI F, et al. Construction risk assessment of super-large open caisson foundation[J]. Journal of Southwest Jiaotong University, 2021, 56(6): 1241-1249. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT202106014.htm
    [14]
    ZHA S S, GUO Y, HUANG S H, et al. A hybrid MCDM approach based on ANP and TOPSIS for facility layout selection[J]. Transactions of Nanjing University of Aeronautics and Astronautics, 2018, 35(6): 1027-1037.
    [15]
    孔奥, 胥耀方, 段力伟, 等. 考虑社交距离的综合客运枢纽换乘衔接效果评价[J]. 交通信息与安全, 2022, 40(4): 167-176. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202204018.htm

    KONG A, XU Y F, DUAN L W, et al. An evaluation of connectivity of transfer in comprehensive passenger transport hubs considering social distance[J]. Journal of Transport Information and Safety, 2022, 40(4): 167-176. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS202204018.htm
    [16]
    覃文文, 鄢祺阳, 谷金晶, 等. 重载货车驾驶人驾驶风格识别与量化研究[J]. 交通运输系统工程与信息, 2022, 22(4): 137-148. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202204016.htm

    QIN W W, YAN Q Y, GU J J, et al. Driving style recognition and quantification for heavy-duty truck drivers[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(4): 137-148. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202204016.htm
    [17]
    翁建军, 刘管江. 基于组合赋权-云模型的水上机场场址评价方法[J]. 交通信息与安全, 2022, 40(2): 126-134. doi: 10.3963/j.jssn.1674-4861.2022.02.015

    WENG J J, LIU G J. A site evaluation of water aerodrome based on combined weighting and a cloud model[J]. Journal of Transport Information and Safety, 2022, 40(2): 126-134. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2022.02.015
    [18]
    李志军, 向建军, 盛涛, 等. 基于G1-变异系数-KL改进TOPSIS雷达对抗干扰有效性评估[J]. 北京航空航天大学学报, 2021, 47(12): 2571-2578. https://www.cnki.com.cn/Article/CJFDTOTAL-BJHK202112018.htm

    LI Z J, XIANG J J, SHENG T, et al. G1-variation-coefficient-KL based TOPSIS radar jamming effectiveness evaluation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(12): 2571-2578. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BJHK202112018.htm
    [19]
    刘欢, 李昊. 基于改进记分函数和累积前景理论的直觉模糊TOPSIS法[J]. 哈尔滨理工大学学报, 2022, 27(4): 133-141. https://www.cnki.com.cn/Article/CJFDTOTAL-HLGX202204017.htm

    LIU H, LI H. Intuitionistic fuzzy TOPSIS method based on improved score function and cumulative prospect theory[J]. Journal of Harbin University of Science and Technology, 2022, 27(4): 133-141. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HLGX202204017.htm
    [20]
    兰格戈, 于洋. 城市建成环境对公共交通为导向的开发效能的影响规律与优化建议[J]. 福州大学学报(自然科学版), 2023, 51(4): 566-573. https://www.cnki.com.cn/Article/CJFDTOTAL-FZDZ202304018.htm

    LAN G G. YU Y. Exploration of the factors influencing the effectiveness of transit oriented development in the built environment[J]. Journal of Fuzhou University (Natural Science Edition), 2023, 51(4): 566-573. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-FZDZ202304018.htm
    [21]
    张羽佳. 基于GIS网络分析法的成都市老城区城市公园绿地可达性研究[D]. 雅安: 四川农业大学, 2020.

    ZHANG Y J. Research on accessibility of urban park green space in old town of Chengdu based on GIS network analysis[D]. Yaan: Sichuan Agricultural University, 2020. (in Chinese)
    [22]
    ZUO T, WEI H, CHEN N, et al. First-and-last mile solution via bicycling to improving transit accessibility and advancing transportation equity[J]. Cities, 2020, 99: 102614.
    [23]
    冯焕焕, 邓建华, 葛婷. 引入驾驶风格的熵权法多属性换道决策模型[J]. 交通运输系统工程与信息, 2020, 20(2): 139-144. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202002022.htm

    FENG H H, DENG J H, GE T. Multi-attributes lane-changing decision model based on entropy weight with driving styles[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(2): 139-144. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT202002022.htm
    [24]
    GONG P, CHEN B, LI X C, et al. Mapping essential urban land use categories in China(EULUC-China): preliminary results for 2018[J]. Science Bulletin, 2020, 65(3): 182-187.
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