2015
DOI: 10.1080/17477891.2015.1075859
|View full text |Cite
|
Sign up to set email alerts
|

Gendering flood early warning systems: the case of Pakistan

Abstract: After the devastating 2010 flood in Pakistan, an early warning system (EWS) for river floods has been established in the Lai basin passing through the twin cities of Islamabad and Rawalpindi. Inequalities in society are amplified at the time of disasters, and EWS that are people-centred proved more effective in communicating risk and saving people. This article undertakes a gender analysis of Pakistan's EWS for each of the four pillars of people-centred EWS in order to highlight gendered and classed vulnerabil… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
37
0
5

Year Published

2017
2017
2024
2024

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 45 publications
(42 citation statements)
references
References 22 publications
0
37
0
5
Order By: Relevance
“…Putting people first is the key message of the approach known as ''first mile.'' Criticizing the dominance of the hazard paradigm in the warning system debate, this approach advocates more discussion to understand who the people are, their degrees of vulnerability and capacities, their needs in terms of gender (Mustafa et al 2015), age (Peek 2008), disability (Bennett 2020), mobility status, language, and culture, spreading the message ''leaving no one behind.'' Some scholars have pointed out that this type of warning system can be tailored for different audiences as well as used for vulnerability reduction (Kelman and Glantz 2014) in different sectors, such as urban planning (Zia and Wagner 2015).…”
Section: People-centered Early Warning Systems?mentioning
confidence: 99%
“…Putting people first is the key message of the approach known as ''first mile.'' Criticizing the dominance of the hazard paradigm in the warning system debate, this approach advocates more discussion to understand who the people are, their degrees of vulnerability and capacities, their needs in terms of gender (Mustafa et al 2015), age (Peek 2008), disability (Bennett 2020), mobility status, language, and culture, spreading the message ''leaving no one behind.'' Some scholars have pointed out that this type of warning system can be tailored for different audiences as well as used for vulnerability reduction (Kelman and Glantz 2014) in different sectors, such as urban planning (Zia and Wagner 2015).…”
Section: People-centered Early Warning Systems?mentioning
confidence: 99%
“…It is noteworthy that the majority of women and girls had no independent access to the tools used for communicating flood warnings, such as loudspeakers in mosques, mobile phones, and FM radio. Therefore, merely providing early flood warnings through various media sources may not necessarily ensure that women and other vulnerable groups have information on which to take action (Mustafa et al 2015).…”
Section: Pakistan-disaster Response Policiesmentioning
confidence: 99%
“…Formal warning systems exist only for coastal and riverine flooding. Even in this case, though, the warning system entails facsimile messages from the Pakistan Meteorological Department (PMD) to government functionaries who may pass on the information orally to their subordinates, who in turn may or may not convey it to the general populace using local police stations or mosques (Mustafa and Wescoat, Jr., 1997; Mustafa et al, 2015). Vernacular warning systems, meanwhile, depend on indigenous knowledge and sometimes are more equitably accessible from a gender standpoint (Mustafa et al, 2015).…”
Section: Geographical Research Contextmentioning
confidence: 99%
“…Once an extreme event is happening, in a society with gendered lines of power and livelihoods, the signs of it are also inevitably gendered (see, for example, Sultana, 2014; Mustafa et al, 2015). Gendered power relations frequently are internalised, and therefore are much harder to confront.…”
Section: Climate Vulnerability: From Numbers To Narrativesmentioning
confidence: 99%