{"title":"Urban road waterlogging multi-level assessment integrated flood models and road network models","authors":"","doi":"10.1016/j.trd.2024.104305","DOIUrl":null,"url":null,"abstract":"<div><p>Road centerline and maximum inundation depth methods have been used in most previous studies to assess road waterlogging, but accurately expressing the spatiotemporal characteristics of road waterlogging is difficult. To address this issue, a new multilevel road waterlogging assessment model based on four spatial scales and four assessment indices was developed. Then, a road waterlogging information acquisition method was designed based on flood models (FMs) and spatial analysis methods, and existing multihierarchical road network models (RNMs) were extended to integrate road waterlogging information. Next, with a typical region selected as the study area, road waterlogging information under specific rainstorm scenarios was acquired and analyzed with the FMs and RNMs. Then, a multilevel assessment of road waterlogging and various analyses were conducted. The case study showed that compared to traditional models, the new model improved the prediction of the spatiotemporal characteristics of road waterlogging.</p></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920924002621","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Road centerline and maximum inundation depth methods have been used in most previous studies to assess road waterlogging, but accurately expressing the spatiotemporal characteristics of road waterlogging is difficult. To address this issue, a new multilevel road waterlogging assessment model based on four spatial scales and four assessment indices was developed. Then, a road waterlogging information acquisition method was designed based on flood models (FMs) and spatial analysis methods, and existing multihierarchical road network models (RNMs) were extended to integrate road waterlogging information. Next, with a typical region selected as the study area, road waterlogging information under specific rainstorm scenarios was acquired and analyzed with the FMs and RNMs. Then, a multilevel assessment of road waterlogging and various analyses were conducted. The case study showed that compared to traditional models, the new model improved the prediction of the spatiotemporal characteristics of road waterlogging.
期刊介绍：
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.
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