語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
An Investigation of Evaluation Metho...
~
Hoff, Joshua.
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo./
作者:
Hoff, Joshua.
面頁冊數:
1 online resource (107 pages)
附註:
Source: Masters Abstracts International, Volume: 57-05.
標題:
Urban planning. -
電子資源:
click for full text (PQDT)
ISBN:
9780355849479
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo.
Hoff, Joshua.
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo.
- 1 online resource (107 pages)
Source: Masters Abstracts International, Volume: 57-05.
Thesis (Master's)--University of Washington, 2018.
Includes bibliographical references
Urban vegetation plays an important role in influencing ecological function beyond the individual plant scale. City policies set required quantity and quality parameters for urban vegetation that determine the environmental and societal outcomes and ultimately affect urban residents' wellbeing. The way urban vegetation policies are structured varies due to context but one structure that is primed for analysis, due to its clear outcome objectives and transparent structure, is the use of a weighted-point system landscape policy. The objective of this thesis is to test the applicability of a methodological evaluation of weighted-point landscaping policy by inventorying in two locations Seattle, Washington and Malmo, Sweden, the quantity and quality of vegetated outcomes at different points of time. The weighed-point landscaping policy is a structure containing a menu of obligatory landscaping options to fulfill defined requirements organized by point calculations for built environment, applies each intended to produce specific urban vegetation outcomes. Despite the intention, outcomes from urban vegetation policy vary in implementation and maintenance over time. Evaluation of the required outcomes hold relevant stakeholders accountable by inventorying fulfillment and deviation from policy intentions.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355849479Subjects--Topical Terms:
1180826
Urban planning.
Index Terms--Genre/Form:
554714
Electronic books.
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo.
LDR
:03460ntm a2200325K 4500
001
914497
005
20180712070706.5
006
m o u
007
cr mn||||a|a||
008
190606s2018 xx obm 000 0 eng d
020
$a
9780355849479
035
$a
(MiAaPQ)AAI10690044
035
$a
(MiAaPQ)washington:18225
035
$a
AAI10690044
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
100
1
$a
Hoff, Joshua.
$3
1187770
245
1 3
$a
An Investigation of Evaluation Methods of Weighted-Point Landscaping Policy - In Seattle and Malmo.
264
0
$c
2018
300
$a
1 online resource (107 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 57-05.
500
$a
Adviser: Marina Alberti.
502
$a
Thesis (Master's)--University of Washington, 2018.
504
$a
Includes bibliographical references
520
$a
Urban vegetation plays an important role in influencing ecological function beyond the individual plant scale. City policies set required quantity and quality parameters for urban vegetation that determine the environmental and societal outcomes and ultimately affect urban residents' wellbeing. The way urban vegetation policies are structured varies due to context but one structure that is primed for analysis, due to its clear outcome objectives and transparent structure, is the use of a weighted-point system landscape policy. The objective of this thesis is to test the applicability of a methodological evaluation of weighted-point landscaping policy by inventorying in two locations Seattle, Washington and Malmo, Sweden, the quantity and quality of vegetated outcomes at different points of time. The weighed-point landscaping policy is a structure containing a menu of obligatory landscaping options to fulfill defined requirements organized by point calculations for built environment, applies each intended to produce specific urban vegetation outcomes. Despite the intention, outcomes from urban vegetation policy vary in implementation and maintenance over time. Evaluation of the required outcomes hold relevant stakeholders accountable by inventorying fulfillment and deviation from policy intentions.
520
$a
Evaluative methodology and methods are tested to formalize the cyclical relationship between actual policy outcomes and feedback to improve the policy. The feedback from these methods have the potential to inform policy success over time. Two methods, a supervised Object Based Image Analysis (OBIA) and a vertical structure inventory, have the promise to be effective measurement tools given carefully chosen considerations and inputs. Applying these methods has the potential to inform a modified-BAR vegetation indicator useful for comprehensively referencing the quantity and quality of urban vegetation outcomes from weighted-point landscaping policy. In this thesis, the referenced two methods are used to analyze projects across three time periods and two weighted-point landscaping policy contexts. Lessons learned from this analysis provides a preliminary frame work for generating feedback of the policy's outcomes to inform policy makers and relevant stakeholders.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Urban planning.
$3
1180826
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0999
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
University of Washington.
$b
Urban Design and Planning.
$3
1180825
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10690044
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入