Impact of the Change in Topography Caused by Road Construction on the Flood Vulnerability of Mobility on Road Networks in Urban Areas

Mukesh, M. S.; Katpatal, Yashwant B.

doi:10.1061/ajrua6.0001137

Cited by 11 publications

(4 citation statements)

References 36 publications

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“…The planned integration of the system to Google-Map means that the generated data will be available to users globally and at their comfort which summarizes the novelty of this work. Recent civil engineering road construction models recommends that major roads that have greater impedance during floods should be distributed throughout the region so that mobility is less affected by floods [ [28] , [29] , [30] ]. Implementing the developed device will enable the road users to be aware of level of flooding on the roads promptly so as to use the alternative distributed roads.…”

Section: Discussionmentioning

confidence: 99%

Inventing a robust road-vehicle flood level monitoring device for disaster mitigation

Oduah,

Anierobi,

Ilori

2023

Heliyon

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Section: Discussionmentioning

confidence: 99%

Inventing a robust road-vehicle flood level monitoring device for disaster mitigation

Oduah,

Anierobi,

Ilori

2023

Heliyon

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“…The road network under the flood condition was generated using flood water level over the road network, betweenness centrality and network strength measurement (Mukesh et al , 2022), where flood water level above 300 mm is considered inaccessible (Pregnolato et al , 2016). The depth of water accumulated over each road network determined by Mukesh and Katpatal (2021) using Soil Conservation Service Curve Number (SCS-CN) and the Time Area Histogram method by considering soil characteristics, water retention and infiltration characteristics, surface slope and flow velocity is used in the present study (Figure 3).…”

Section: Methodsmentioning

confidence: 99%

“…Zhang and Alipour (2019) integrated road network vulnerability for flood hazard by considering infrastructure, topology and flow-based risk assessment to assess the risk of the primary road network for different return periods. Mukesh and Katpatal (2021) measured the vulnerability of the road network for a hazardous flood condition caused because of changes in topography. Kanti Sen and Dutta (2020) integrated Geographic information system (GIS)-Bayesian Belief Network for a flood hazard to quantify the resilience of road infrastructure based on vulnerability and recovery of the road network from flooding.…”

Section: Introductionmentioning

confidence: 99%

Measurement of city road network resilience in hazardous flood events

Mukesh

Katpatal

Londhe

2022

IJDRBE

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Purpose Recently, the serviceability of the transportation infrastructure in urban areas has become crucial. Any impact of the hazardous conditions on the urban road network causes significant disruption to the functioning of the urban region, making the city’s resilience a point of concern. Thereby, the purpose of the study is to examine the city’s recovery capacity to absorb the impacts of adverse events like urban floods. Design/methodology/approach This study examines the road network resilience for an urban flood event for zones proposed by the Municipal Corporation to develop multiple central business districts. This study proposes a novel approach to measure the resilience of road networks in an urban region under floods caused due to heavy rainfall. A novel Road Network Resilience Index (RNRI) based on the serviceability of the road network during floods is proposed, estimated using Analytic Hierarchy Process - Multiple Criteria Evaluation (AHP-MCE) approaches by using the change in street centrality, impervious area and road network density. This study examines and analyses the resilience of road networks in two conditions: flood and nonflood conditions. Resilience was estimated for both the conditions at the city level and the decentralized zone level. Findings Based on RNRI values, this study identifies zones having a lower or higher resilience index. The central, southern and eastern zones have lower road network resilience and western and northern zones have high road network resilience. Practical implications The proposed methodology can be used to increase road network resilience within the city under flood conditions. Originality/value The previous literature on road network resilience concentrates on the physical properties of roads after flood events. This study demonstrates the use of nonstructural measures to improve the resilience of the road network by innovatively using the AHP-MCE approach and street centrality to measure the resilience of the road network.

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“…Furthermore, this study recommends that urban area design be implemented in urban planning to avoid flood risk. Furthermore, Mukesh & Katpatal (2021) investigated the impact of road networks and their changes, classified as one of the factors changing the topography character of Nagpur city in central India, which led to urban flooding. Dahanayake & Wickramasinghe (2022) argued that most of the urban flooding in Sri Lanka was monsoon rainfall and urbanisation activities such as flooding In the Colombo District of Sri Lanka, urban flooding in urban areas resulted from LU development from 1999 to 2018.…”

Section: Impact Of Lu On Urban Floodingmentioning

confidence: 99%

The Impacts of Land Use Changes in Urban Hydrology, Runoff and Flooding: A Review

Alshammari¹,

Rahman²,

Rainis³

et al. 2023

CUS

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The issue of Land Use (LU) change has received considerable critical attention because it is one of the most significant factors caused by human activities worldwide. Recent critical changes in this direction have affected urban hydrology. LU change affects water resources and hydrological characteristics such as runoff and urban flooding. The development of LU causes a rapid increase in impermeable surfaces, increasing the flooding rate. LU also plays a vital role in extending water drainage, groundwater intrusion, and flooding during and after rainfall. This paper aims to investigate LU change impacts on runoff and urban flooding. This review focused on most articles, conference papers, and book chapters published in SCOPUS, including Google Scholar. The study was limitation to the last published from 2017-2021 and also extended some published theories for different years published. In addition, in the short and long term, the development of LU affects the environment, and most factors are involved at a catchment level. However, there is a strong relationship between human activities at the catchment level and runoff. The study concluded that LU strongly influences topography and the landscape in arid, semi-arid, and humid zones. This is why runoff and water distribution happen in urban areas. Furthermore, this study found that builtup area is a critical factor that increases urban flood risk, especially in lowlands along floodplains. It is common for the frequency of floods to become more severe due to a rapid increase in impervious surfaces brought on by urbanisation, increasing runoff. The review concludes that runoff affects by catchment size and its condition. Finally, humans can be reduced runoff and flood risk with a sensibility strategy.

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Impact of the Change in Topography Caused by Road Construction on the Flood Vulnerability of Mobility on Road Networks in Urban Areas

Cited by 11 publications

References 36 publications

Inventing a robust road-vehicle flood level monitoring device for disaster mitigation

Inventing a robust road-vehicle flood level monitoring device for disaster mitigation

Measurement of city road network resilience in hazardous flood events

The Impacts of Land Use Changes in Urban Hydrology, Runoff and Flooding: A Review

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