scholarly journals Monitoring and Understanding Urban Transformation: A Mixed Method Approach

2022 ◽  
Vol 3 ◽  
Author(s):  
Thomas J. Bannan ◽  
James Evans ◽  
Jack S. Benton ◽  
Pete Edwards ◽  
Sebastian Diez ◽  
...  
Keyword(s):  
Mixed Method ◽  
Green Infrastructure ◽  
Data Science ◽  
Urban Transformation ◽  
Public Authorities ◽  
Infrastructure Monitoring ◽  
Health And Wellbeing ◽  
Multiple Levels ◽  
Method Approach ◽  
Time Resource

Cities must address many challenges including air quality, climate change and the health and wellbeing of communities. Public authorities and developers increasingly look to improve these through the implementation of interventions and innovations, such as low traffic neighbourhoods, deep housing retrofits and green infrastructure. Monitoring the impacts of interventions is essential to determine the success of such projects and to build evidence for broader urban transformation. In this paper we present a mixed-method cross-disciplinary approach that brings together cutting edge atmospheric and data science, measurements of activity in public spaces and novel methods to assess wellbeing-promoting behaviours. The Manchester Urban Observatory focuses on living areas that have a high density of inter-related systems, which require observation, understanding and intervention at multiple levels. This must be completed in line with urban planning goals as well as a clear and succinct data solution that allows robust scientific conclusions to be made and viewed in real time. Delivery of such a monitoring strategy is not trivial and is time, resource and expertise heavy. This paper discusses the methods employed by the Manchester Urban Observatory to monitor the effectiveness off interventions implemented within cities and effective communication strategies with local communities.

Underpining the Relaionships between Burnout, Depression and Somatic Stress - A Mixed Method Approach

2018 ◽  
Vol 2 (1) ◽  
pp. 5-16
Author(s):  
Syed Gohar Abbas ◽  
◽  
Jalil Ahmed ◽  
Zainab Fakhr
Keyword(s):  
Mixed Method ◽  
Mixed Method Approach ◽  
Somatic Stress ◽  
Method Approach

A case study evaluation of a community multidisciplinary team in South East England using a mixed-method approach

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711569
Author(s):  
Jessica Wyatt Muscat
Keyword(s):  
Mental Health ◽  
Mixed Method ◽  
Social Care ◽  
Free Form ◽  
Normalisation Process Theory ◽  
Multidisciplinary Teams ◽  
Mixed Method Approach ◽  
Health And Social Care ◽  
Method Approach

BackgroundCommunity multidisciplinary teams (MDTs) represent a model of integrated care comprising health, social care, and the voluntary sector where members work collaboratively to coordinate care for those patients most at risk.AimThe evaluation will answer the question, ‘What are the enablers and what are the restrictors to the embedding of the case study MDT into the routine practice of the health and social care teams involved in the project?’MethodThe MDT was evaluated using a mixed-method approach with normalisation process theory as a methodological tool. Both quantitative and qualitative data were gathered through a questionnaire consisting of the NoMAD survey followed by free-form questions.ResultsThe concepts of the MDT were generally clear, and participants could see the potential benefits of the programme, though this was found to be lower in GPs. Certain professionals, particularly mental health and nursing professionals, found it difficult to integrate the MDT into normal working patterns because of a lack of resources. Participants also felt there was a lack of training for MDT working. A lack of awareness of evidence supporting the programme was shown particularly within management, GP, and nursing roles.ConclusionSpecific recommendations have been made in order to improve the MDT under evaluation. These include adjustments to IT systems and meeting documentation, continued education as to the purpose of the MDT, and the engagement of GPs to enable better buy-in. Recommendations were made to focus the agenda with specialist attendance when necessary, and to expand the MDT remit, particularly in mental health and geriatrics.

So You Have Some Green Infrastructure Monitoring Data, Now What?

2017 ◽  
Vol 2017 (14) ◽  
pp. 1151-1165
Author(s):  
Elizabeth Mannarino ◽  
Dwayne Myers ◽  
Varsha Raj
Keyword(s):  
Green Infrastructure ◽  
Monitoring Data ◽  
Infrastructure Monitoring

Conditionality & Coercion

2019 ◽  
Author(s):  
Isabela Mares ◽  
Lauren E. Young
Keyword(s):  
Mixed Method ◽  
Personal Characteristics ◽  
Policy Preferences ◽  
The European Union ◽  
Vote Buying ◽  
Private Benefits ◽  
Public Benefits ◽  
Local Actors ◽  
Democratic Systems ◽  
Method Approach

In many recent democracies, candidates compete for office using illegal strategies to influence voters. In Hungary and Romania, local actors including mayors and bureaucrats offer access to social policy benefits to voters who offer to support their preferred candidates, and they threaten others with the loss of a range of policy and private benefits for voting the “wrong” way. These quid pro quo exchanges are often called clientelism. How can politicians and their accomplices get away with such illegal campaigning in otherwise democratic, competitive elections? When do they rely on the worst forms of clientelism that involve threatening voters and manipulating public benefits? This book uses a mixed method approach to understand how illegal forms of campaigning including vote buying and electoral coercion persist in two democratic countries in the European Union. It argues that clientelistic strategies must be disaggregated based on whether they use public or private resources, and whether they involve positive promises or negative threats and coercion. The authors document that the type of clientelistic strategies that candidates and brokers use varies systematically across localities based on their underlying social coalitions, and also show that voters assess and sanction different forms of clientelism in different ways. Voters glean information about politicians’ personal characteristics and their policy preferences from the clientelistic strategies these candidates deploy. Most voters judge candidates who use clientelism harshly. So how does clientelism, including its most odious coercive forms, persist in democratic systems? This book suggests that politicians can get away with clientelism by using forms of it that are in line with the policy preferences of constituencies whose votes they need. Clientelistic and programmatic strategies are not as distinct as previous studies have argued.

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