Cost–benefit analysis of a distracted pedestrian intervention
Cost–benefit analysis of a distracted pedestrian intervention
复制标题
行人分心干预的成本效益分析
DOI:
10.1136/ip-2022-044740
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发表时间:
2022
影响因子:
3.7
通讯作者:
Sen, Bisakha
中科院分区:
文献类型:
--
作者:
Rahim, Md Jillur;Schwebel, David C;Hasan, Ragib;Griffin, Russell;Sen, Bisakha
Objective Cellphone ubiquity has increased distracted pedestrian behaviour and contributed to growing pedestrian injury rates. A major barrier to large-scale implementation of prevention programmes is unavailable information on potential monetary benefits. We evaluated net economic societal benefits of StreetBit, a programme that reduces distracted pedestrian behaviour by sending warnings from intersection-installed Bluetooth beacons to distracted pedestrians’ smartphones. Methods Three data sources were used as follows:(1) fatal, severe, non-severe pedestrian injury rates from Alabama’s electronic crash reporting system;(2) expected costs per fatal, severe, non-severe pedestrian injury—including medical cost, value of statistical life, work-loss cost, quality-of-life cost—from CDC and (3) prevalence of distracted walking from extant literature. We computed and compared estimated monetary costs of distracted walking in Alabama and monetary benefits from implementing StreetBit to reduce pedestrian injuries at intersections. Results Over 2019–2021, Alabama recorded an annual average of 31 fatal, 83 severe and 115 non-severe pedestrian injuries in intersections. Expected costs/injury were US 11million,US 339 535 and US 93877,respectively.Theestimateddistractedwalkingprevalenceis25%–40%,andStreetBitdemonstrates19.1%(95%CI1.6%to36.0%)reduction.ThesefiguresdemonstratepotentialannualcostsavingsfromusinginterventionslikeStreetBitstatewiderangingfromUS 18.1 to US 29million.PotentialcostsrangefromUS 3 208 600 (beacons at every-fourth urban intersection) to US 6359200(everyotherintersection).ConclusionsEvenunderthemostparsimoniousscenario(25%distractedpedestrians;densestbeaconplacement),StreetBityieldsUS 11.8 million estimated net annual benefit to society. Existing data sources can be leveraged to predict net monetary benefits of distracted pedestrian interventions like StreetBit and facilitate large-scale intervention adoption.
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影响因子:
2.2
作者:
Pina Violano;L. Roney;K. Bechtel
通讯作者:
K. Bechtel
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
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通讯作者:
Pam Fischer
影响因子:
12.7
作者:
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M. Akinlotan
影响因子:
2.7
作者:
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通讯作者:
HEYMAN, GM
DOI:
--
发表时间:
2006
期刊:
影响因子:
--
作者:
A. Gielen;D. Sleet;R. DiClemente
通讯作者:
R. DiClemente