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A bid-rent land-use adaptation model for mitigating road network vulnerability and traffic emissions
Zhao, L.; Peng, Z.R.; Yang, F. & Shen, S.
Abstract
Disruptions of vulnerable links in transportation
networks have been widely recognized as a serious
safety issue, generating both traffic congestion and significant
traffic emissions. This paper aims to consolidate a
proposed land-use adaptation (LUA) strategy into transportation
vulnerability assessment, quantitatively exploring
the question about how to optimize spatial patterns in longterm
land-use planning to improve network reliability,
protect existing vulnerable links and critical locations, and
reduce traffic emissions. To mitigate regional network
vulnerability, the LUA model employs the bid-rent theory
to describe the agents’ behaviors in the land market. Using
the genetic and frank-wolf algorithms, this paper analyzes
the relationship between link vulnerability and geographical
distribution of land-use patterns. The amount of trafficrelated
CO emissions is used to evaluate the environmental
impacts of the vulnerable link closure. The case study
indicates that the long-term LUA strategy at land-cell level
effectively reduces road network vulnerability, significantly
improves the performance of existing urban road
systems, and reduces traffic emissions. The model results
also show that road networks tend to become more vulnerable
with an increase in travel demand. Furthermore,
without considering accessibility reduction caused by vulnerable
transportation links, the land-use development is
more likely to make the existing vulnerable links more
susceptible. The proposed LUA methodology could allow
urban system managers and planners to take proactive
actions, thereby mitigating negative environmental impacts
caused by network disruptions rather than being obliged to
react to them.
Keywords
Land-use adaptation model; Vulnerability; Bid-rent theory; Traffic emissions
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