Publication: Predicting Urban Employment Distributions: A Toolkit for More Targeted Urban Investment and Planning Decisions
Date
2022-06
ISSN
Published
2022-06
Author(s)
Avner, Paolo
Maruyama Rentschler, Jun Erik
Barzin, Samira
O’Clery, Neave
Abstract
Cities are intricately interconnected
socioeconomic systems, with transport networks connecting
people to their jobs, health, and education facilities, and
ensuring the smooth functioning of supply chains. When
floods happen, they isolate people and firms from these
vital networks, causing cascading disruptions and losses.
Such floods are not limited to rare and extreme events.
Especially in developing country cities, the lack of
resilient infrastructure systems means that even regular
rainfall events, for example, during rainy seasons, can
cause havoc. Attention is often biased towards direct asset
losses from floods, rather than the wider economic costs of
disrupted networks. This is due primarily to the complex
dynamics of economic and infrastructure networks. But public
transport and road usage data are also often limited,
especially when the predominant modes of transport are
informal and walking. So how can we identify and prioritize
cost-effective measures for urban resilience This note
describes an analytical approach that can help prioritize
investments in urban transport resilience and public
transport, while also strengthening the economic case for
such investments.
Link to Data Set
Citation
“Avner, Paolo; Maruyama Rentschler, Jun Erik; Barzin, Samira; O’Clery, Neave. 2022. Predicting Urban Employment Distributions: A Toolkit for More Targeted Urban Investment and Planning Decisions. © Washington, DC. http://hdl.handle.net/10986/37577 License: CC BY 3.0 IGO.”