The Experts below are selected from a list of 32304 Experts worldwide ranked by ideXlab platform
Bilal Farooq - One of the best experts on this subject based on the ideXlab platform.
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spatio temporal analysis of on demand transit a case study of belleville canada
Transportation Research Part A-policy and Practice, 2021Co-Authors: Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal FarooqAbstract:Abstract The rapid increase in the cyber-physical nature of transportation, availability of GPS data, mobile applications, and effective communication technologies have led to the emergence of On-Demand Transit (ODT) systems. In September 2018, the City of Belleville in Canada started an on-demand public transit pilot project, where the late-night fixed-route (RT 11) was substituted with the ODT providing a real-time ride-hailing service. We present an in-depth analysis of the spatio-temporal demand and supply, level of service, and origin and destination patterns of Belleville ODT users, based on the data collected from September 2018 till May 2019. The independent and combined effects of the demographic characteristics (population density, working-age, and Median Income) on the ODT trip production and attraction levels were studied using GIS and the K-means machine learning clustering algorithm. The results indicate that ODT trips demand is highest for 11:00 pm–11:45 pm during the weekdays and 8:00 pm–8:30 pm during the weekends. We expect this to be the result of users returning home from work or shopping. Results showed that 39% of the trips were found to have a waiting time of smaller than 15 min, while 28% of trips had a waiting time of 15–30 min. The dissemination areas with higher population density, lower Median Income, or higher working-age percentages tend to have higher ODT trip attraction levels, except for the dissemination areas that have highly attractive places like commercial areas. For the sustainable deployment of ODT services, we recommend (a) proactively relocating the empty ODT vehicles near the neighbourhoods with high level of activity, (b) dynamically updating the fleet size and location based on the anticipated changes in the spatio-temporal demand, and (c) using medium occupancy vehicles, like vans or minibuses to ensure high level of service.
Irum Sanaullah - One of the best experts on this subject based on the ideXlab platform.
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spatio temporal analysis of on demand transit a case study of belleville canada
Transportation Research Part A-policy and Practice, 2021Co-Authors: Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal FarooqAbstract:Abstract The rapid increase in the cyber-physical nature of transportation, availability of GPS data, mobile applications, and effective communication technologies have led to the emergence of On-Demand Transit (ODT) systems. In September 2018, the City of Belleville in Canada started an on-demand public transit pilot project, where the late-night fixed-route (RT 11) was substituted with the ODT providing a real-time ride-hailing service. We present an in-depth analysis of the spatio-temporal demand and supply, level of service, and origin and destination patterns of Belleville ODT users, based on the data collected from September 2018 till May 2019. The independent and combined effects of the demographic characteristics (population density, working-age, and Median Income) on the ODT trip production and attraction levels were studied using GIS and the K-means machine learning clustering algorithm. The results indicate that ODT trips demand is highest for 11:00 pm–11:45 pm during the weekdays and 8:00 pm–8:30 pm during the weekends. We expect this to be the result of users returning home from work or shopping. Results showed that 39% of the trips were found to have a waiting time of smaller than 15 min, while 28% of trips had a waiting time of 15–30 min. The dissemination areas with higher population density, lower Median Income, or higher working-age percentages tend to have higher ODT trip attraction levels, except for the dissemination areas that have highly attractive places like commercial areas. For the sustainable deployment of ODT services, we recommend (a) proactively relocating the empty ODT vehicles near the neighbourhoods with high level of activity, (b) dynamically updating the fleet size and location based on the anticipated changes in the spatio-temporal demand, and (c) using medium occupancy vehicles, like vans or minibuses to ensure high level of service.
Nicolai Kristensen - One of the best experts on this subject based on the ideXlab platform.
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Economic satisfaction and Income rank in small neighbourhoods
Journal of the European Economic Association, 2009Co-Authors: Andrew E. Clark, Niels Westergaard-nielsen, Nicolai KristensenAbstract:We contribute to the literature on well-being and comparisons by appealing to new Danish data dividing the country up into around 9,000 small neighbourhoods. Administrative data provides us with the Income of every person in each of these neighbourhoods. This Income information is matched to demographic and economic satisfaction variables from eight years of Danish ECHP data. Panel regression analysis shows that, conditional on own household Income, respondents report higher satisfaction levels when their neighbours are richer. However, individuals are rank-sensitive: Conditional on one's own Income and neighbourhood Median Income, respondents are more satisfied as their percentile neighbourhood ranking improves. A ten percentage point rise in rank (i.e., from 40th to 20th position in a 200-household cell) is worth 0.11 on a 1-6 scale, which is a large marginal effect in satisfaction terms.
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Economic satisfaction and Income rank in small neighbourhoods
2008Co-Authors: Andrew E. Clark, Nicolai Kristensen, Niels Westergård-nielsenAbstract:We contribute to the literature on well-being and comparisons by appealing to new Danish data dividing the country up into around 9000 small neighbourhoods. Administrative data provides us with the Income of every person in each of these neighbourhoods. This Income information is matched to demographic and economic satisfaction variables from eight years of Danish ECHP data. Panel regression analysis shows that, conditional on own household Income, respondents report higher satisfaction levels when their neighbours are richer. However, the individuals are rank-sensitive: conditional on own Income and neighbourhood Median Income, individuals are more satisfied as their percentile neighbourhood ranking improves. A ten percentage point rise in rank (i.e. from 40 th to 20 th position in a 200-household cell) is worth 0.11 on a one to six scale, which is a large marginal effect in satisfaction terms.
Jeanne M. Clark - One of the best experts on this subject based on the ideXlab platform.
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Sociodemographic Trends in Bariatric Surgery Utilization in the USA
Obesity surgery, 2012Co-Authors: Octavia Pickett-blakely, Mary Margaret Huizinga, Jeanne M. ClarkAbstract:Although bariatric surgery has become more accessible in recent years, it is unclear whether populations disproportionately affected by obesity are utilizing this treatment. A cross-sectional analysis of the Nationwide Inpatient Sample was performed. The sociodemographic characteristics (race, sex, age, insurance, Median Income), co-morbidities, and weight loss surgery type were analyzed. Bariatric surgeries increased six-fold from 17,678 in 1998 to 112,882 in 2004 (p $45,000) decreased. From 1998 to 2007, the sociodemographic characteristics of the bariatric surgery population have changed, although those that are disproportionately affected by morbid obesity continue to be underrepresented.
Nael Alsaleh - One of the best experts on this subject based on the ideXlab platform.
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spatio temporal analysis of on demand transit a case study of belleville canada
Transportation Research Part A-policy and Practice, 2021Co-Authors: Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal FarooqAbstract:Abstract The rapid increase in the cyber-physical nature of transportation, availability of GPS data, mobile applications, and effective communication technologies have led to the emergence of On-Demand Transit (ODT) systems. In September 2018, the City of Belleville in Canada started an on-demand public transit pilot project, where the late-night fixed-route (RT 11) was substituted with the ODT providing a real-time ride-hailing service. We present an in-depth analysis of the spatio-temporal demand and supply, level of service, and origin and destination patterns of Belleville ODT users, based on the data collected from September 2018 till May 2019. The independent and combined effects of the demographic characteristics (population density, working-age, and Median Income) on the ODT trip production and attraction levels were studied using GIS and the K-means machine learning clustering algorithm. The results indicate that ODT trips demand is highest for 11:00 pm–11:45 pm during the weekdays and 8:00 pm–8:30 pm during the weekends. We expect this to be the result of users returning home from work or shopping. Results showed that 39% of the trips were found to have a waiting time of smaller than 15 min, while 28% of trips had a waiting time of 15–30 min. The dissemination areas with higher population density, lower Median Income, or higher working-age percentages tend to have higher ODT trip attraction levels, except for the dissemination areas that have highly attractive places like commercial areas. For the sustainable deployment of ODT services, we recommend (a) proactively relocating the empty ODT vehicles near the neighbourhoods with high level of activity, (b) dynamically updating the fleet size and location based on the anticipated changes in the spatio-temporal demand, and (c) using medium occupancy vehicles, like vans or minibuses to ensure high level of service.
