Learning and Knowledge Generation in Local Decision Making in the South

The Case of Urban Infrastructure Provision in Arequipa, Peru

Bibliographic Data

ID12076092
AuthorsJessica Pineda-Zumaran (0000-0002-2701-298X, United Nations University, Tokyo, Japan, corresponding author)
Year2015
Volume36
Issue1
Pages60-75
Publication date2015-09-08
Open AccessYes
TypeARTICLE
VenueJournal of Planning Education and Research (JOURNAL)
Journal identifiersISSN: 0739-456X • E-ISSN: 1552-6577
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0739456x15601186
OpenAlexW2117536349
LanguageEN
Citations received3
References cited29

Although current planning research acknowledges that learning and knowledge generation are key elements in decision making, the actual extent of their influence is still uncertain. By examining infrastructure-led decision making in Peru, this article presents a Learning-based Approach (LbA) to analyze the extent of their influence in the quality of decisions. The results reveal that learning and (new) knowledge can equally enhance and worsen local decision-making quality to different degrees. Nonetheless, the quality of infrastructure-led decisions can improve largely by empowering municipal officials usually engaged in routine practice through the generation of (spatial) knowledge on the physical and functional aspects of cities

Business · Key (lock · Knowledge management · Quality (philosophy · Computer Science · Urban and Rural Development Challenges · Urban Planning and Governance · Urban Planning and Valuation

Tools

Open DOISci-Hub