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On assessing governmental sustainable residential planning and its alignment with residents’ and estate investors’ objectives
Dalarna University, School of Technology and Business Studies, Statistics. (Microdata Analysis)ORCID iD: 0000-0002-7512-5321
Dalarna University, School of Technology and Business Studies, Statistics.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Human Geography. Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-4871-833X
2017 (English)Report (Other academic)
Abstract [en]

There are three key actors in forming the sustainable spatial distribution of residency in an area, (local) government, the estate investor and the resident, each with its own objective. Most urban planning studies have mainly focused on the ex-post evaluation of residential development by considering the objective of each actor separately. This paper outlines a conceptual model where the three key actors and their unique objectives are integrated with the aim of providing an ex-ante evaluation of residential development for government to make policies operational on a micro level. The methodology is implemented on a Swedish city, where sustainable residential development is in high need due to the influx of immigrants. The case study demonstrates that the model can integrate the macro and micro actors well. The model can provide noteworthy insights for the government on where the objectives of sustainability, livability and profit can be met. A sensitivity check of the parameter settings shows that the implementation of the model is robust for replication in other cities.

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2017. , 20 p.
Series
Working papers in transport, tourism, information technology and microdata analysis, ISSN 1650-5581 ; 2017:01
Keyword [en]
Sustainable urban development; CO2 emissions; Multi-agent system model; Urban mobility
National Category
Social and Economic Geography
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-24514OAI: oai:DiVA.org:du-24514DiVA: diva2:1079362
Available from: 2017-03-08 Created: 2017-03-08 Last updated: 2017-03-08Bibliographically approved

Open Access in DiVA

The full text will be freely available from 2017-03-31 12:27
Available from 2017-03-31 12:27

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf