Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions
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 an...
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| Online Access: | http://documents.worldbank.org/curated/en/099140104282225258/P172672014f4020b00b0100a7bbebba39a2 http://hdl.handle.net/10986/37577 |
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okr-10986-375772022-06-23T18:11:46Z Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions Avner, Paolo Maruyama Rentschler, Jun Erik Barzin, Samira O’Clery, Neave EMPLOYMENT PREDICTION EMPLOYMENT DENSITY MAP SPACIAL DISTRIBUTION OF JOBS TARGETING PRODUCTIVITY IMPROVEMENT OPEN-SOURCE DATA RESILIENCE URBAN INVESTMENT PLANNING 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. 2022-06-21T16:26:59Z 2022-06-21T16:26:59Z 2022-06 Brief http://documents.worldbank.org/curated/en/099140104282225258/P172672014f4020b00b0100a7bbebba39a2 http://hdl.handle.net/10986/37577 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC Publications & Research Brief Latin America Sub-Saharan Africa |
| repository_type |
Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
EMPLOYMENT PREDICTION EMPLOYMENT DENSITY MAP SPACIAL DISTRIBUTION OF JOBS TARGETING PRODUCTIVITY IMPROVEMENT OPEN-SOURCE DATA RESILIENCE URBAN INVESTMENT PLANNING |
| spellingShingle |
EMPLOYMENT PREDICTION EMPLOYMENT DENSITY MAP SPACIAL DISTRIBUTION OF JOBS TARGETING PRODUCTIVITY IMPROVEMENT OPEN-SOURCE DATA RESILIENCE URBAN INVESTMENT PLANNING Avner, Paolo Maruyama Rentschler, Jun Erik Barzin, Samira O’Clery, Neave Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| geographic_facet |
Latin America Sub-Saharan Africa |
| description |
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. |
| format |
Brief |
| author |
Avner, Paolo Maruyama Rentschler, Jun Erik Barzin, Samira O’Clery, Neave |
| author_facet |
Avner, Paolo Maruyama Rentschler, Jun Erik Barzin, Samira O’Clery, Neave |
| author_sort |
Avner, Paolo |
| title |
Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| title_short |
Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| title_full |
Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| title_fullStr |
Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| title_full_unstemmed |
Predicting Urban Employment Distributions : A Toolkit for More Targeted Urban Investment and Planning Decisions |
| title_sort |
predicting urban employment distributions : a toolkit for more targeted urban investment and planning decisions |
| publisher |
Washington, DC |
| publishDate |
2022 |
| url |
http://documents.worldbank.org/curated/en/099140104282225258/P172672014f4020b00b0100a7bbebba39a2 http://hdl.handle.net/10986/37577 |
| _version_ |
1764487477293219840 |