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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