2015•University of Hertfordshire Research Archive (University of Hertfordshire)Open access

Placemaking for Cities : Pilot project on the transfer of good practice in community-led placemaking

Hans Schlappa

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Abstract

This report provides an account of the main outcomes of Placemaking 4 Cities (P4C) project and offers critical evaluation of process as well as content of this pilot project in good practice transfer (GPT). In doing so this report draws together detailed descriptions and assessments of the transfer process from learning logs, the mid-term review and exit interviews with P4C participants. The learning logs and the mid-term review are attached in a separate appendix entitled ‘Supporting Documents’. The first part of the report is concerned with an analysis of the results that were achieved. It begins with a presentation of the good practices and anticipated outcomes defined in the baseline study and compares these to the actual results and outputs achieved. The good practices that were adopted and adapted through the transfer are presented at the end of this section. We then review the methodological approach that was adopted to facilitate the GPT, focusing in particular the preparation and executing of the peer review which was central to the transfer process. This is followed by an attempt to assess the impact of the P4C pilot for participating cities of the medium and longer term and the report concludes with a number of recommendations about the design and delivery of future GPT networks.

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This report provides an account of the main outcomes of Placemaking 4 Cities (P4C) project and offers critical evaluation of process as well as content of this pilot project in good practice transfer (GPT). In doing so this report draws together detailed descriptions and assessments of the transfer process from learning logs, the mid-term review and exit interviews with P4C participants. The learning logs and the mid-term review are attached in a separate appendix entitled ‘Supporting Documents’. The first part of the report is concerned with an analysis of the results that were achieved. It begins with a presentation of the good practices and anticipated outcomes defined in the baseline study and compares these to the actual results and outputs achieved. The good practices that were adopted and adapted through the transfer are presented at the end of this section. We then review the methodological approach that was adopted to facilitate the GPT, focusing in particular the preparation and executing of the peer review which was central to the transfer process. This is followed by an attempt to assess the impact of the P4C pilot for participating cities of the medium and longer term and the report concludes with a number of recommendations about the design and delivery of future GPT networks.

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Available abstract

This report provides an account of the main outcomes of Placemaking 4 Cities (P4C) project and offers critical evaluation of process as well as content of this pilot project in good practice transfer (GPT). In doing so this report draws together detailed descriptions and assessments of the transfer process from learning logs, the mid-term review and exit interviews with P4C participants. The learning logs and the mid-term review are attached in a separate appendix entitled ‘Supporting Documents’. The first part of the report is concerned with an analysis of the results that were achieved. It begins with a presentation of the good practices and anticipated outcomes defined in the baseline study and compares these to the actual results and outputs achieved. The good practices that were adopted and adapted through the transfer are presented at the end of this section. We then review the methodological approach that was adopted to facilitate the GPT, focusing in particular the preparation and executing of the peer review which was central to the transfer process. This is followed by an attempt to assess the impact of the P4C pilot for participating cities of the medium and longer term and the report concludes with a number of recommendations about the design and delivery of future GPT networks.

Key concepts: Placemaking, Geography, Engineering, Civil engineering, Urban planning, Urban design

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