The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events

Abstract

Global warming, sea-level rise, and rapid urbanization all increase the risk of compound extreme weather events, presenting challenges for the operation of urban-related infrastructure, including transportation infrastructure. In this context, some questions become important. For example, what are the temporal and spatial distribution and development trends of transportation resilience when considering the impact of multilpe extreme weather events on the urban transportation system? What is the degree of loss of urban transportation resilience (UT resilience) under different extreme event intensities, and how long will it take for the entire system to restore balance? In the future, if extreme weather events become more frequent and intense, what trends will urban transportation resilience show? Considering these problems, the current monitoring methods for transportation resilience under the influence of extreme events are lacking, especially the monitoring of the temporal and spatial dynamic changes of transportation resilience under the influence of compined extreme events. The development of big data mining technology and deep learning methods for spatiotemporal predictions made the construction of spatiotemporal data sets for evaluating and predicting UT resilience-intensity indicators possible. Such data sets reveal the temporal and spatial features and evolution of UT resilience intensity under the influence of compound extreme weather events, as well as the related future change trends. They indicate the key research areas that should be focused on, namely, the transportation resilience under climate warming. This work is especially important in planning efforts to adapt to climate change and rising sea levels and is relevant to policymakers, traffic managers, civil protection managers, and the general public.

Temporal Variations in Land Surface Temperature within an Urban Ecosystem: A Comprehensive Assessment of Land Use and Land Cover Change in Kharkiv, Ukraine

“…Nonetheless, incorporating parameters like water vapor into LST acquisition methods has been shown to enhance relevance [41,51,54,58,64]. Consistent with Tair data in a Table 3, Landsat-derived LST shows a significant summer warming trend with increases in mean LSTs and recent extreme values, emphasizing the augmented effects of climate change, human activities, and UHIs during peak heat periods [7,8,10,14,20,44]. MODIS-derived LST data analysis indicates a significant increase in June and September, with moderate and non-significant trends in July and August [39,40].…”

“…A detailed analysis of LST, derived from Landsat thermal bands for April-September between 1984 and 2023, illustrates surface temperature trends Table 4. Utilizing all available temporal data points (106 scene), the study focuses on understanding the impact of local climate change, specifically regarding LST variations [14,[25][26][27][28][29][30][31][32][33]44]. The accuracy of LST analysis can vary based on the quantity of satellite images, cloud cover [64], and the acquisition method, especially validation in situ [104].…”

“…Intensive urbanization significantly affects natural ecosystems. The swift pace of urban expansion, which strains essential infrastructure, coupled with the escalation in frequency and severity of weather events linked to global climate change, intensifies the repercussions of environmental hazards [12][13][14][15][16]. Long-term changes in land use/land cover (LULC) [17][18][19][20], stemming from the conversion of natural green spaces and arable lands into impermeable surfaces, are contributing to the formation of urban heat islands (UHI) [21][22][23][24] and the elevation of land surface temperatures (LST) [25][26][27][28][29][30][31][32][33].…”

A novel approach for evaluation of CMIP6 GCMs in simulating temperature and precipitation extremes of Pakistan

“…It caused a significant increase in hot extremes and severe precipitation events in many regions of the globe (Khan et al, 2023; Ullah et al, 2023; Vogel et al, 2019). Losses in agriculture, economy and urban infrastructure have come from these persistent increases in temperature and precipitation extremes (Islam et al, 2021; Ji et al, 2022; Vogel et al, 2019). Climate extremes may have widespread effects, but the results are magnified in dry and semiarid areas (Gwenzi et al, 2022; Poshiwa & Chary, 2022; Som & Dey, 2022; Wang et al, 2022; Hamed et al, 2022c).…”

Temporal Variations in Land Surface Temperature within an Urban Ecosystem: A Comprehensive Assessment of Land Use and Land Cover Change in Kharkiv, Ukraine

“…Intensive urbanization significantly affects natural ecosystems. The swift pace of urban expansion, which strains essential infrastructure, coupled with the escalation in the frequency and severity of weather events linked to global climate change, intensifies the effects of environmental hazards [12][13][14][15][16][17]. Long-term changes in land use/land cover (LULC) [18,19], stemming from the conversion of natural green spaces and arable lands into impermeable surfaces, are contributing to the formation of urban heat islands (UHI) [20][21][22][23] and the elevation of land surface temperatures (LST) [24][25][26][27][28][29][30][31].…”