Urban clear zones, street trees, and road safety

Marshall, Wesley E.; Coppola, Nicholas; Golombek, Yaneev

doi:10.1016/j.rtbm.2018.09.003

Cited by 26 publications

(14 citation statements)

References 15 publications

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“…The role that street trees and streetscape design variables play in transportation research continues to be evaluated and what may be the most important element to transportation research outcomes is the availability of legitimate streetscape descriptive statistics. Marshall et al (15) applied GIS-based descriptive streetscape statistics in a negative binomial generalized linear regression model to evaluate street trees and safety-related transportation research outcomes. Harvey and Aultman-Hall (31) applied streetscape descriptive statistics, limited to 2D street trees and crude building outlines, to a binary logistic regression model.…”

Section: Resultsmentioning

confidence: 99%

“…For instance with street trees, the research findings have long been contradictory over their influence on road safety outcomes (12)(13)(14). Some studies suggest that street trees are associated with better safety outcomes (15), while other studies find them to be hazardous (13,16). Aside from street trees, transportation research has also focused on how physical characteristics of other streetscape features enhance safety.…”

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confidence: 99%

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Measuring Streetscape Features with High-Density Aerial Light Detection and Ranging

Golombek

Marshall

2020

Transportation Research Record: Journal of the Transportation R

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This study investigates the feasibility of extracting streetscape features from high-density United States Geological Survey (USGS) quality level 1 (QL1) light detection and ranging (LiDAR) and quantifying the features into three-dimensional (3D) volumetric pixel (voxel) zones. As the USGS embarks on a national LiDAR database with the goal of collecting LiDAR across the continuous U.S.A., the USGS primarily requires QL2 or QL1 as a collection standard. The authors’ previous study thoroughly investigated the limits of extracting streetscape features with QL2 data, which was primarily limited to buildings and street trees. Recent studies published by other researchers that utilize advanced digital mapping techniques for streetscape measuring acknowledge that most features outside of buildings and street trees are too small to detect. QL1 data, however, is four times denser than QL2 data. This study divides streetscapes into Thiessen proximal polygons, sets voxel parameters, classifies QL1 LiDAR point cloud data, and computes quantitative statistics where classified point cloud data intersects voxels within the streetscape polygons. It demonstrates how most other common streetscape features are detectable in a standard urban QL1 dataset. In addition to street trees and buildings, one can also legitimately extract and statistically quantify walls, fences, landscape vegetation, light posts, traffic lights, power poles, power lines, street signs, and miscellaneous street furniture. Furthermore, as these features are processed into their appropriate voxel height zones, this study introduces a new methodology for obtaining comprehensive tabular descriptive statistics describing how streetscape features are truly represented in 3D.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

Measuring Streetscape Features with High-Density Aerial Light Detection and Ranging

Golombek

Marshall

2020

Transportation Research Record: Journal of the Transportation R

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“…A few past studies focused on investigating the relationship between installed urban roadside design and roadside crash frequency. These studies found that the presence of urban roadside furniture, placed to make streets more liveable, tended to significantly decrease the number of roadside crashes (Dumbaugh & Gattis, 2005;Marshall et al, 2018;Naderi, 2003). Another recent study found that streetscape design tending to result in smaller, more enclosed streetscapes contributes to both fewer injury and fatal crashes (Harvey & Aultman-Hall, 2015).…”

Section: Introductionmentioning

confidence: 96%

Impact of Roadside Design Compliance and Hazard Offset on the Risk of Single-Vehicle, Run-Off-Road Crash Fatalities

Awadalla

Albuquerque

2021

International Journal of Injury Control and Safety Promotion

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single-vehicle, run-off-road (sVROR) crashes account for a significant portion of all road-related injuries and fatalities worldwide. however, no previous study has examined to what extent roadside design guidelines have been applied, nor (and most importantly) whether having a compliant roadside design reduces the likelihood of fatal injury occurrence in sVROR crashes. thus, the objectives of this research are i) to examine the level of roadside design compliance within the studied area based on the selected benchmark and ii) to investigate whether roadside design compliance reduces the likelihood of fatal injury occurrence in sVROR crashes. Findings from this study are based on extensive crash and field data collected from 1,070 sVROR injury collisions and locations, respectively. the study shows that i) only 32 percent of the studied locations contained compliant design, and ii) barrier and discrete-obstacle lateral offsets larger than 6 and 12 meters, respectively, tended to lower fatality risk. the 12-meter clear-zone (cZ) width is larger than that recommended by previous research, which has based cZ width recommendations also on cost-benefit procedures and not just on fatality risk reduction.

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“…Hal ini menjadi ironi tersendiri bagi para pejalan kaki sehingga kegiatan ini menjadi tidak aman dan nyaman dilakukan. Meskipun kematian dan cedera pejalan kaki sering terjadi di banyak lokasi dan jumlahnya meningkat setiap tahun, keselamatan pejalan kaki masih belum mendapatkan perhatian yang tepat (Lakhotia dkk., 2019;Coppola & Golombek, 2018). Usaha-usaha meningkatkan kualitas JPO diharapkan dapat memberi pemahaman bagi pejalan kaki bahwa mereka merupakan "warga kedua" dalam mengakses JPO dan menghindarkan JPO menjadi aset yang terbengkalai.…”

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Faktor-Faktor yang Mempengaruhi Kepuasan Pengguna Jembatan Penyeberangan Orang (JPO) pada Pelayanan Strategis Berskala Nasional di Kota Surabaya

Pattisinai

Widayanti

2021

Jurnal Manajemen Aset Infrastruktur &Amp; Fasilitas

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Tujuan dari penelitian ini adalah untuk mengetahui penilaian fasilitas dari Jembatan Penyeberangan Orang (JPO) di kota Surabaya berdasarkan penilaian dari pengguna. Untuk mengeksplorasi ini, kami mensurvei Jalan Gubernur Suryo -SMA Negeri 6 Surabaya (pusat kawasan pemerintahan skala regional dan kawasan pendidikan), Jalan Profesor Dr. Mustopo (kawasan penyedia sarana kesehatan dengan skala pelayanan regional dan kawasan pendidikan tinggi), dan Jalan Pemuda -Plaza Surabaya (kawasan bisnis, perkantoran dan perdagangan), Indonesia sebagai kawasan pelayanan strategis skala regional di Kota Surabaya (N = 120). Metode yang digunakan adalah Importance -Performance Analysis (IPA) yang merupakan ukuran tingkat kepuasan layanan yang masuk kuadran pada peta Importance Performance Matrix. Dalam metode ini, perlu untuk mengukur tingkat kesesuaian untuk mengetahui seberapa besar pengguna merasa puas dengan kinerja jembatan penyeberangan. Faktor yang paling membuat pengguna tidak puas adalah B2 yaitu lampu yang menyala di malam hari, diikuti oleh D1 (pegangan tangan di Jembatan Pedestrian yang mudah dijangkau dan tidak berkarat) dan D5 (bangunan yang dapat mengurangi getaran saat kendaraan melaju kencang) diatasnya.

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Urban clear zones, street trees, and road safety

Cited by 26 publications

References 15 publications

Measuring Streetscape Features with High-Density Aerial Light Detection and Ranging

Measuring Streetscape Features with High-Density Aerial Light Detection and Ranging

Impact of Roadside Design Compliance and Hazard Offset on the Risk of Single-Vehicle, Run-Off-Road Crash Fatalities

Faktor-Faktor yang Mempengaruhi Kepuasan Pengguna Jembatan Penyeberangan Orang (JPO) pada Pelayanan Strategis Berskala Nasional di Kota Surabaya

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