AbstractGrowth in travel demand exacerbates the road network vulnerability. This study aims to explore how the source of travel demand, that is, the land-use spatial layout, impacts road network vulnerability. Based on the interaction between land use and transportation, this study develops a new raster-based road network vulnerability assessment model and employs a logistic model to quantify the correlation between land use and vulnerability. To assess the raster-based vulnerability, this study uses the change in the total travel time for all O-D pairs before and after the disruption of all intersecting links and nodes within the geographical extent of a grid. The central city in Wuhan, China was selected as the case study which was divided into 2,096 grids of uniformly shaped and sized cells. Highly vulnerable areas showed a centripetal distribution trend and were mainly concentrated in the areas around the bridges, expressways, and arterial roads. The logistic model revealed the statistical results that the closer to residential land, public service land, and water area, the higher the vulnerability. Intensive density and land-use mix increase the vulnerability of road networks. High-risk road links were identified for adapting strategies by overlapping the congested road maps with the vulnerability results. Police implications were summarized to mitigate road vulnerability. This method provided technical support for prioritizing the improvement of road network resilience.

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