Characteristic town is an important measure to promote the construction of new urbanization, development of urban-rural integration, rural revitalization, industrial structure upgrading, and improve social and economic development. Constructing the development level index system and development level measurement of characteristic town has important practical significance for the sustainable and high-quality development of characteristic town. According to the characteristics of it, the paper constructs the evaluation index system of the development level of characteristic towns from five dimensions, such as industrial resources and construction foundation, the weight of the evaluation index is determined based by applying the entropy weight & analytic hierarchy process method, based on fuzzy mathematical theory, establishes the fuzzy-entropy weight method-analytic hierarchy process (F-EWM-AHP) comprehensive measurement model for the development level of characteristic towns, and empirical test the characteristic town development level, the results show that the comprehensive measurement model is consistent with the actual situation. The results can provide scientific basis for the characteristic town development evaluation, provides reference for the sustainable and high-quality development of characteristic towns under the background of rural revitalization.
ParkCLeeJH. Supplier selection and stepwise benchmarking: a new hybrid model using DEA and AHP based on cluster analysis. J Oper Res Soc2018; 69(3): 449–466.
2.
MoslemSGhorbanzadehOBlaschkeT, et al.Analysing stakeholder consensus for a sustainable transport development decision by the fuzzy AHP and interval AHP. Sustainability2019; 11(12): 3271.
3.
MiloševićMRMiloševićDMStanojevićAD, et al.Fuzzy and interval AHP approaches in sustainable management for the architectural heritage in smart cities. Mathematics-Basel2021; 9(4): 304.
4.
DangVTWangJDangWV. An integrated fuzzy AHP and fuzzy TOPSIS approach to assess sustainable urban development in an emerging economy. Int J Environ Res Publ Health2019; 16(16): 2902.
5.
PandeCBMoharirKNPanneerselvamB, et al.Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques. Appl Water Sci2021; 11(12): 186.
6.
PratomoRASamsuraDAvan der KrabbenE. Transformation of local people’s property rights induced by new town development (case studies in Peri-Urban areas in Indonesia). Land2020; 9(7): 236.
7.
BencuréJCTripathiNKMiyazakiH, et al.Development of an innovative land valuation model (iLVM) for mass appraisal application in sub-urban areas using AHP: an integration of theoretical and practical approaches. Sustainability-Basel2019; 11(13): 3731–3739.
8.
SahaPPaulB. Identification of potential strategic sites for city planning based on water quality through GIS-AHP-integrated model. Environ Sci Pollut R2021; 28(18): 23073–23086.
9.
NyimbiliPHErdenT. A hybrid approach integrating entropy-AHP and GIS for suitability assessment of urban emergency facilities. ISPRS Int J GeoInf2020; 9(7): 419.
10.
DulebaS. Introduction and comparative analysis of the multi-level parsimonious AHP methodology in a public transport development decision problem. J Oper Res Soc2022; 73(2): 230–243.
11.
MoralesJFde VriesWT. Establishment of land use suitability map criteria using analytic hierarchy process (AHP) with practitioners and beneficiaries. Land2021; 10(3): 235.
12.
YanYZhouRYeX, et al.Suitability evaluation of urban construction land based on an approach of vertical-horizontal processes. ISPRS Int J GeoInf2018; 7(5): 198.
13.
HarrisR. Modes of informal urban development: a global phenomenon. J Plan Lit2018; 33(3): 267–286.
14.
WagnerMde VriesWT. Comparative review of methods supporting decision-making in urban development and land management. Land2019; 8(8): 123.
15.
WangBde JongMvan BuerenE, et al.Planning and development of a high-speed railway new town under state entrepreneurialism in China. Urban Geogr2024; 45(2): 115–136.
16.
GhasemkhaniNVayghanSSAbdollahiA, et al.Urban development modeling using integrated fuzzy systems, ordered weighted averaging (OWA), and geospatial techniques. Sustainability2020; 12(3): 809–814.
17.
ZhuSLiDFengH, et al.AHP-TOPSIS-based evaluation of the relative performance of multiple neighborhood renewal projects: a case study in Nanjing, China. Sustainability2019; 11(17): 4545.
18.
DulebaS. An AHP-ISM approach for considering public preferences in a public transport development decision. Transport-Vilinius2019; 34(6): 662–671.
19.
LeeMHCheonDYHanSH. An AHP analysis on the habitability performance toward the modernized hanok in Korea. Buildings-Basel2019; 9(8): 177.
20.
ZhangLXuXGuoY. Comprehensive evaluation of the implementation effect of commercial street quality improvement based on AHP-entropy weight method—taking hefei Shuanggang old street as an example. Land2022; 11(11): 2091.
21.
MaceikaABugajevAŠostakOR, et al.Decision tree and AHP methods application for projects assessment: a case study. Sustainability-Basel2021; 13(10): 5502.
22.
HalderBBanikPAlmohamadH, et al.Land suitability investigation for solar power plant using GIS, AHP and multi-criteria decision approach: a case of megacity Kolkata, West Bengal, India. Sustainability2022; 14(18): 11276.
23.
WangWMPengHH. A fuzzy multi-criteria evaluation framework for urban sustainable development. Mathematics-Basel2020; 8(3): 330.
24.
CaiSFanJYangW. Flooding risk assessment and analysis based on GIS and the TFN-AHP method: a case study of Chongqing, China. Atmosphere-Basel2021; 12(5): 623.
25.
ParkYLeeSWLeeJ. Comparison of fuzzy AHP and AHP in multicriteria inventory classification while planning green infrastructure for resilient stream ecosystems. Sustainability2020; 12(21): 9035.
26.
GompfKTraversoMHetterichJ. Using analytical hierarchy process (AHP) to introduce weights to social life cycle assessment of mobility services. Sustainability2021; 13(3): 1258.
27.
KilSHParkHMParkM, et al.Location selection of urban rooftop greenhouses in Seoul based on AHP and GIS. Land2023; 12(12): 2187.
28.
KimJHKingBEKimS. Development of a slow city tourism evaluation index: a Delphi-AHP review of Cittaslow requirements. J Sustain Tour2022; 30(4): 846–874.
29.
KijewskaKTorbackiWIwanS. Application of AHP and DEMATEL methods in choosing and analysing the measures for the distribution of goods in Szczecin region. Sustainability2018; 10(7): 2365.
30.
AzimifardAMoosaviradSHAriafarS. Selecting sustainable supplier countries for Iran's steel industry at three levels by using AHP and TOPSIS methods. Resour Policy2018; 57: 30–44.
31.
MaYShiTYZhangW, et al.Comprehensive policy evaluation of NEV development in China, Japan, the United States, and Germany based on the EW-AHP model. J Clean Prod2019; 214: 389–402.
32.
KannengießerNLinsSDehlingT, et al.Trade-offs between distributed ledger technology characteristics. ACM Comput Surv2020; 53(2): 42.
33.
WangGLiuLShiP, et al.Flood risk assessment of metro system using improved trapezoidal fuzzy AHP: a case study of Guangzhou. Remote Sens-Basel2021; 13(24): 5154.
34.
WangHLuXDengY, et al.China’s CO2 peak before 2030 implied from characteristics and growth of cities. Nat Sustain2019; 2(8): 748–754.
35.
DingZZhuMWuZ, et al.Combining AHP-entropy approach with GIS for construction waste landfill selection—a case study of Shenzhen. Int J Environ Res Publ Health2018; 15(10): 2254.
