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Gordon Lovegrove   Dr.  Senior Scientist or Principal Investigator 
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Gordon Lovegrove published an article in December 2015.
Top co-authors
Ahsan Alam

9 shared publications

Research Assistant, MSc., PhD student, School of Engineering, McGill University, 845 Sherbrooke St. W. Montreal, Quebec, Canada, H3A 2T5

Feng Wei

1 shared publications

Research Assistant, MSc., PhD student, School of Engineering, University of British Columbia, 3333 University Way, Kelowna, BC, Canada, V1V 1V7

Publication Record
Distribution of Articles published per year 
(2006 - 2015)
Total number of journals
published in
Article 0 Reads 0 Citations Building sustainably safe and healthy communities with the Fused Grid development layout Abdul Rahman Masoud, Farhad Faghihi, Adam Lee, Gordon Lovegr... Published: 01 December 2015
Canadian Journal of Civil Engineering, doi: 10.1139/cjce-2015-0086
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Road crashes have become a leading cause of injury and death and a major source of greenhouse gas emissions. Modes of active transportation (AT) such as walking and cycling are often overlooked in the community planning process. The Fused Grid (FG) is an innovative subdivision layout, developed by the Canadian Mortgage and Housing Corporation with the objective of balancing the needs of safety and health for residents, with those of the automobile and AT, all in pursuit of enhanced community sustainability. This study assesses the effectiveness of the FG model via an application of two recently developed assessment tools: the Canadian Healthy Development Index (HDI), and the Dutch Sustainable Transport Safety (STS) principles (collectively known as i-THRIVE in a new on-line tool). It was found that the FG is a successful model for building sustainably safe and healthy communities as it easily met the criteria of both the HDI and STS Principles. However, while the FG model can be applied relatively easily to a new community, retrofitting existing neighbourhoods can be challenging and is the subject of further research.
Article 0 Reads 6 Citations An empirical tool to evaluate the safety of cyclists: Community based, macro-level collision prediction models using neg... Feng Wei, Gordon Lovegrove Published: 01 December 2013
Accident Analysis & Prevention, doi: 10.1016/j.aap.2012.05.018
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Today, North American governments are more willing to consider compact neighborhoods with increased use of sustainable transportation modes. Bicycling, one of the most effective modes for short trips with distances less than 5km is being encouraged. However, as vulnerable road users (VRUs), cyclists are more likely to be injured when involved in collisions. In order to create a safe road environment for them, evaluating cyclists' road safety at a macro level in a proactive way is necessary. In this paper, different generalized linear regression methods for collision prediction model (CPM) development are reviewed and previous studies on micro-level and macro-level bicycle-related CPMs are summarized. On the basis of insights gained in the exploration stage, this paper also reports on efforts to develop negative binomial models for bicycle-auto collisions at a community-based, macro-level. Data came from the Central Okanagan Regional District (CORD), of British Columbia, Canada. The model results revealed two types of statistical associations between collisions and each explanatory variable: (1) An increase in bicycle-auto collisions is associated with an increase in total lane kilometers (TLKM), bicycle lane kilometers (BLKM), bus stops (BS), traffic signals (SIG), intersection density (INTD), and arterial-local intersection percentage (IALP). (2) A decrease in bicycle collisions was found to be associated with an increase in the number of drive commuters (DRIVE), and in the percentage of drive commuters (DRP). These results support our hypothesis that in North America, with its current low levels of bicycle use (<4%), we can initially expect to see an increase in bicycle collisions as cycle mode share increases. However, as bicycle mode share increases beyond some unknown 'critical' level, our hypothesis also predicts a net safety improvement. To test this hypothesis and to further explore the statistical relationships between bicycle mode split and overall road safety, future research needs to pursue further development and application of community-based, macro-level CPMs.
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Macro-Level Collision Prediction Models Related to Bicycle Use Feng Wei, Ahsan Alam, Gordon Lovegrove Published: 16 June 2011
ICTIS 2011, doi: 10.1061/41177(415)168
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The growing automobile transport results in severe traffic congestion, pollution and road safety problems. Bicycling, as one of sustainable transportation mode, is encouraged in most developed countries for its attributes of convenience, low cost, non-fuel use, and zero-emissions. It is generally accepted that increasing bicycle use could improve road safety. Based on a comprehensive literature review, this paper discusses potential factors influencing bicycle use and bicycle collisions. Understanding these bicycle-related factors is useful to develop new bicycle-related Collision Prediction Models (CPMs) with generalized linear regression. These CPMs can support economic justification of much-needed major bicycle infrastructure investments, and also help policy makers to promote bicycling in an effective and economic manner. Also, a brief methodology of developing such macro-level CPMs is suggested. Based on a case study of City of Kelowna, BC, Canada, several new macro-level CPMs are proposed. Results reveal that the increase of bicycle use can lead to a decrease in total collisions despite an increase in bicycle collisions, which is consistent with the actual case. Also, the bicyclerelated exposure variable, bicycle lane length, has a significantly positive relationship with dependent variables: total collision frequency. In this case, it is concluded that increasing bike lanes (on-street and off-street) can be a good measure to improve road safety. Still, aimed on the research gap, this paper identifies potential works of high interests in future.
Article 0 Reads 10 Citations Using Macrolevel Collision Prediction Models in Road Safety Planning Applications Gordon Lovegrove, Tarek Sayed Published: 01 January 2006
Transportation Research Record: Journal of the Transportation Research Board, doi: 10.3141/1950-09
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