Influence of built environment on pedestrian crashes: A network-based GIS analysis

Dai, Dajun; Jaworski, Derek

doi:10.1016/j.apgeog.2016.06.005

Cited by 51 publications

(20 citation statements)

References 50 publications

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“…Riding on a smooth surface has been shown to increase the probability of speeding as drivers sometimes tend to perceive that the smooth road surfaces are less risky, these findings are in line with studies from India and Malaysia Shaheed & Gkritza, 2014). Moreover, studies have shown that the presence of residential and commercial areas along the road network increases the number of pedestrians and their activities, which complicates the interaction between different road users within the area (Dai & Jaworski, 2016;Wedagama et al, 2006).…”

Section: Discussionsupporting

confidence: 76%

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Francis

Moshiro

Yngve

et al. 2021

International Journal of Injury Control and Safety Promotion

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Rapid growth in use of motorcycles combined with limited road infrastructures has increased the burden of road traffic crashes and injuries in low-and middle-income countries. the aim of this study was to assess whether high-risk locations for motorcycle-related injuries identified from police crash data registers for the period 2016 to 2017 share similar road infrastructure and traffic density attributes in Dar es salaam city. analysis was performed using multiple correspondence and hierarchical cluster analysis. three distinct clusters for motorcycle injury hotspots were identified. clusters 1 and 2 were associated with more fatal and severe injuries and were characterized by overrepresentation of trunk roads, unseparated two-way roads, mixture of road users and commercial and residential areas compared to cluster 3. cluster3 was associated with less severe injuries compared to clusters 1 and 2 (p < 0.001). cluster 3 was characterized by overrepresentation of feeder/street roads, separated two-way roads and presence of traffic control measures. the clusters of hotspots differed by road infrastructure and traffic density attributes. clusters 1 and 2 were characterized by more dangerous road environments, while cluster 3 was characterized by road environments with less severe outcomes. these findings can assist in prioritizing preventive strategies for motorcycle-related injuries.

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Section: Discussionsupporting

confidence: 76%

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Francis

Moshiro

Yngve

et al. 2021

International Journal of Injury Control and Safety Promotion

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show abstract

“…Most importantly, an increase in road fatalities hinders attainment of target 3.6 of the Sustainable Development Goals: reducing fatalities in road crashes by 50% by 2020 to ensure healthy lives and promote well-being for all at all ages [5] The literature suggests that pedestrians are the most vulnerable in traffic mishaps; however, intensity of loss of lives is lower in high-income countries [6]. There are several reasons responsible for pedestrian's fatalities in a road crash including the design of roadways and pedestrian infrastructure [7,8], speed of vehicles [9,10], influence of alcohol on drivers or pedestrians [11,12], volume of traffic [13,14], insufficient visibility of pedestrians [15,16], age of pedestrians [17,18], safety measures in and around public transit [19,20], land-use planning factors [21,22], and recent socio-technical changes such as emergence of autonomous vehicles [23] and relentless use of smartphones [24,25].…”

Section: Introductionmentioning

confidence: 99%

Modeling Road Safety in Car-Dependent Cities: Case of Jeddah City, Saudi Arabia

Aljoufie

Tiwari

2021

Sustainability

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Investigating the connections between pedestrian crashes and various urban variables is critical to ameliorate the prediction of pedestrian fatalities, formulate advisories for the stakeholders, and provide an evidence base for policy change to mitigate the occurrence and intensity of pedestrian fatalities. In this paper, we aim to explore the geographically varying association between the pedestrian fatalities and other associated factors of an urban environment in Jeddah city, which is a car-dependent city in Saudi Arabia. At first, Global Moran’s I and Local Indicators of Spatial Association (LISA) were applied to visualize the clustering of pedestrian fatalities in the various districts of Jeddah. Subsequently, we developed Poisson regression models based on their geographically weighted indicators. Both the global and geographically weighted regression models attempt to assess the association between the pedestrian fatalities and the geographically relevant land use and transport infrastructure factors. The results indicate that geographically weighted Poisson regression (GWPR) performed better than the global Poisson counterparts. It is also revealed that the existing transportation infrastructure in Jeddah was significantly associated with the higher pedestrian fatalities. The results have shown that the proposed model in this study can inform transport policies in Jeddah in prioritizing more safety measures for the pedestrians, including expanding pedestrians’ infrastructure, and cautious monitoring of pedestrian footpaths. It can facilitate the analysis and improvement of road safety for pedestrians in car-dependent cities.

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“… 6. Infogroup data have been used widely in social science research in recent years (D’Angelo et al, 2016; Dai & Jaworski, 2016; McDevitt, 2014; Suárez Serrato & Zidar, 2016). Although the validity of the data has been questioned (Makridis & Ohlrogge, 2017), we believe our analysis and findings are as reliable as Infogroup’s data are shown to be increasingly unreliable as the firm size increases, which is less of a problem for the purpose of this study given our focus on small mom-and-pop businesses. …”

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confidence: 99%

Does Restricting the Entry of Formula Businesses Help Mom-and-Pop Stores? The Case of Small American Towns With Unique Community Character

Kim

Zhou

2021

Economic Development Quarterly

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Communities worldwide are increasingly introducing regulatory measures to protect independent businesses from chain stores, but the efficacy of these attempts is largely debated. Moreover, effects are likely to vary by the characteristics of the local economy, a consideration overlooked by existing studies. Using a sample of U.S. cities with unique community characteristics, the authors examine Formula Business Restrictions (FBR), a type of an American land use regulation that restricts the entry of “formula businesses.” The authors find that the passage of FBR led to a higher number and percentage of employees working in mom-and-pop businesses, which was primarily achieved by protecting existing ones from downsizing. This positive effect occurred over time with increasing magnitude. The authors also find heterogeneous effects on different sectors: FBR had strong positive effects on the retail sector, but not on the service sector. Findings suggest that chain store entry barriers can be beneficial for mom-and-pop businesses when designed carefully.

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Influence of built environment on pedestrian crashes: A network-based GIS analysis

Cited by 51 publications

References 50 publications

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban Tanzania

Modeling Road Safety in Car-Dependent Cities: Case of Jeddah City, Saudi Arabia

Does Restricting the Entry of Formula Businesses Help Mom-and-Pop Stores? The Case of Small American Towns With Unique Community Character

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