基于BP 神经网络的城市新区公共交通可持续发展评价

为解决城市快速发展带来的交通拥挤、环境恶化等问题，城市新区随之产生.公共交通的可持续发展直 接影响了城市新区的可持续发展，因此，研究城市新区公共交通可持续发展是必要的.首先，建立了城市新区 公共交通可持续发展评价指标体系，然后利用BP神经网络建立了评价模型，最后利用天津市东丽区的相关数 据对该模型的正确性及可操作性进行验证.结果表明，基于BP神经网络建立的城市新区公共交通的可持续发 展评价模型是可用的，评价结果显示天津市东丽区评价年的公共交通处于弱可持续发展水平.根据评价结果， 从投资力度、服务水平以及环境保护等方面提出了相关建议，为公共交通可持续发展建设提供参考．
Therapiddevelopmentofthecityhasarousedmanyproblemssuchasurbantrafficcongestion,andenviron? mentaldeterioration,etc.Tosolvetheseproblems,urbannewdistrictappeared.Thesustainabledevelopmentofpublic transporthasadirectimpactonthesustainabledevelopmentofurbannewdistrict.Therefore,itisnecessarytostudythe sustainabledevelopmentofpublictransportintheurbannewdistrict.First,establishthesustainabledevelopmentevalu? ationindexsystemofurbannewdistrictpublictransport.Andthen,usetheBPneuralnetworktoestablishevaluation model.Finally,verifythepracticabilityofthismodelbytherelevantdataofTianjinDongliDistrict.Theresultsshowthat thesustainabledevelopmentevaluationmodelofpublictransportinurbannewdistrictbasedonBPneuralnetworkis available.TheevaluationresultsshowthatthesustainabledevelopmentofpublictransportinTianjinDongliDistrictis inaweakconditionintheevaluationyears.Finally,therelevantsuggestionsaboutinvestment,servicelevel,andenviron? mentalprotectionwereputforwardtoprovidereferenceforthesustainabledevelopmentofpublictransport.