國立虎尾科技大學 |

Prioritizing Pedestrian Safety Improvement Locations : = A Spatial Analytical Approach using Network Kernel Density Estimation.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Prioritizing Pedestrian Safety Improvement Locations :/
其他題名:	A Spatial Analytical Approach using Network Kernel Density Estimation.
作者:	Beckstrom, Scott.
面頁冊數:	1 online resource (70 pages)
附註:	Source: Masters Abstracts International, Volume: 53-04.
Contained By:	Masters Abstracts International53-04(E).
標題:	Transportation. -
電子資源:	click for full text (PQDT)
ISBN:	9781321105124

Prioritizing Pedestrian Safety Improvement Locations : = A Spatial Analytical Approach using Network Kernel Density Estimation.
Beckstrom, Scott.

Prioritizing Pedestrian Safety Improvement Locations :A Spatial Analytical Approach using Network Kernel Density Estimation. - 1 online resource (70 pages)

Source: Masters Abstracts International, Volume: 53-04.

Thesis (Master's)

Includes bibliographical references

Walking for transportation is a critical component of any strategy for smart growth. Regular levels of moderate physical activity have been shown to dramatically reduce many chronic illnesses and replacing automobile trips over short distances preserves scarce resources, reduces carbon dioxide emissions and improves local air quality. One major challenge to expanding the role of walking for transportation is safety. Each year in the U.S. tens of thousands of pedestrians are injured or killed in collisions with automobiles. Identifying areas where pedestrian infrastructure can be improved is therefore an important task for traffic engineers and planners.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781321105124Subjects--Topical Terms:

558117
Transportation.
Index Terms--Genre/Form:

554714
Electronic books.

Prioritizing Pedestrian Safety Improvement Locations : = A Spatial Analytical Approach using Network Kernel Density Estimation.
LDR:02427ntm a2200373Ki 4500 001 911982
005 20180605073452.5
006 m o u
007 cr mn||||a|a||
008 190606s2014 xx obm 000 0 eng d
020 $a 9781321105124
035 $a (MiAaPQ)AAI1562747
035 $a (MiAaPQ)washington:13152
035 $a AAI1562747
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Beckstrom, Scott. $3 1184142
245 1 0 $a Prioritizing Pedestrian Safety Improvement Locations : $b A Spatial Analytical Approach using Network Kernel Density Estimation.
264 0 $c 2014
300 $a 1 online resource (70 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: 53-04.
500 $a Advisers: Christine Bae; Qing Shen.
502 $a Thesis (Master's) $c University of Washington $d 2014.
504 $a Includes bibliographical references
520 $a Walking for transportation is a critical component of any strategy for smart growth. Regular levels of moderate physical activity have been shown to dramatically reduce many chronic illnesses and replacing automobile trips over short distances preserves scarce resources, reduces carbon dioxide emissions and improves local air quality. One major challenge to expanding the role of walking for transportation is safety. Each year in the U.S. tens of thousands of pedestrians are injured or killed in collisions with automobiles. Identifying areas where pedestrian infrastructure can be improved is therefore an important task for traffic engineers and planners.
520 $a This study uses a GIS spatial analysis known as Network Kernel Density Estimation (NetKDE) to highlight areas in the City of Seattle which experienced high densities of pedestrian-vehicle collisions between 2008 and 2012. The results of this spatial analysis are compared with pedestrian demand and a number of high-priority pedestrian safety improvement areas, corridors, and intersections are suggested.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Transportation. $3 558117
650 4 $a Urban planning. $3 1180826
650 4 $a Geographic information science and geodesy. $3 1148646
655 7 $a Electronic books. $2 local $3 554714
690 $a 0709
690 $a 0999
690 $a 0370
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Washington. $b Urban Design and Planning. $3 1180825
773 0 $t Masters Abstracts International $g 53-04(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1562747 $z click for full text (PQDT)