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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, Microdata Analysis. (Microdata Analysis)ORCID iD: 0000-0002-7512-5321
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-2317-9157
Dalarna University, School of Technology and Business Studies, Microdata Analysis.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: 2017-11-15Bibliographically approved
In thesis
1. Government vs Market in Sustainable Residential Development?: Microdata analysis of car travel, CO2 emission and residence location
Open this publication in new window or tab >>Government vs Market in Sustainable Residential Development?: Microdata analysis of car travel, CO2 emission and residence location
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Increasing car usage and travel demands between residential locations and destinations in order to fulfill the various needs of residents is a primary cause of CO2 emissions. To win the battle against climate change, a better understanding of the question relating to which urban residential form may most effectively mitigate the CO2 emissions is the key pathway.

This dissertation is concerned with the above problem and it mainly considers three objectives in providing insights on answering the question. The first objective is to comprehensively and microscopically understand intra-urban car travel behavior. The second objective is to estimate the induced CO2 emissions from daily intra-urban car travel and to ex-ante evaluate residential plans. The third objective is to assess whether the governmental sustainable residential development objective is aligned with the objectives of the estate market actors. To explore the research questions related to the objectives, a microdata analysis process (data collection, data assessment and transformation, data storage, data analysis and decision-making) is applied and is found essential in gaining access to key variables in exploring the answer of a preferable urban form. The dissertation offers many new solutions to various technical aspects through a microdata analysis process.

The primary contribution of this dissertation is that it outlines an operational model that comprehensively integrates the investors’ investment strategy, the residents’ choice behavior, and the governmental sustainability objective in the interest of making an ex-ante assessment of residential plans. This ex-ante assessment provides decision-support in sustainable residential development at foremost local level.

The first finding from the implementation of the model on the case study is that the market actors’ objectives are, in general, aligned with the government’s sustainable residential development objective. The second finding indicates that re-shaping the urban form into a compact city is preferable in mitigating CO2 emissions, in spite of the fact that the case city is of a polycentric urban form. These findings provide support for those advocating the compact city as the ideal for sustainable residential development, and also provide foresight on settling the answer to the preferred re-shaping of urban forms in climate change.

Place, publisher, year, edition, pages
Borlänge: Högskolan Dalarna, 2017. 140 p.
Series
Dalarna Doctoral Dissertations, 6
National Category
Social Sciences
Research subject
Complex Systems – Microdata Analysis, General Microdata Analysis - transports
Identifiers
urn:nbn:se:du-24685 (URN)978-91-85941-84-1 (ISBN)
Public defence
2017-04-28, Clas Ohlson, Studenternas Hus Tenoren, Röda vägen, Borlänge, 13:00 (English)
Opponent
Supervisors
Available from: 2017-04-05 Created: 2017-04-04 Last updated: 2017-11-15Bibliographically approved

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Zhao, XiaoyunCarling, KennethHåkansson, Johan

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Citation style
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