2023
Zhou, Ting; Feng, Tao; Kemperman, Astrid
Assessing the effects of the built environment and microclimate on cycling volume Journal Article
In: Transportation Research Part D: Transport and Environment, vol. 124, pp. 103936, 2023, ISSN: 1361-9209.
Abstract | Links | BibTeX | Tags: Cycling volume, Gradient Boosting Decision Tree, Multi-scale urban built environment
@article{ZHOU2023103936,
title = {Assessing the effects of the built environment and microclimate on cycling volume},
author = {Ting Zhou and Tao Feng and Astrid Kemperman},
url = {https://www.sciencedirect.com/science/article/pii/S1361920923003334},
doi = {https://doi.org/10.1016/j.trd.2023.103936},
issn = {1361-9209},
year = {2023},
date = {2023-01-01},
journal = {Transportation Research Part D: Transport and Environment},
volume = {124},
pages = {103936},
abstract = {Cycling benefits human health and helps to mitigate environmental issues. However, limited evidence exists regarding how the built environment influences cycling volume under different time and weather conditions. In this paper, we employed a Gradient Boosting Decision tree method to analyze the non-linear and threshold effects of the multiscale built environment and microclimate on cycling volume. Results based on the multisource data of The Netherlands show that 27 out of the 28 variables have a non-linear and threshold effect on cycling volume. Temperature is found to be a dominant factor among all variables. At street level, slope is the most important factor, followed by the green view and sky view indexes. At neighborhood level, population density is the most important factor, followed by residential density, and the density of bus stops. These findings offer useful insights for planning a cycling-friendly urban built environment at different scales.},
keywords = {Cycling volume, Gradient Boosting Decision Tree, Multi-scale urban built environment},
pubstate = {published},
tppubtype = {article}
}
Cycling benefits human health and helps to mitigate environmental issues. However, limited evidence exists regarding how the built environment influences cycling volume under different time and weather conditions. In this paper, we employed a Gradient Boosting Decision tree method to analyze the non-linear and threshold effects of the multiscale built environment and microclimate on cycling volume. Results based on the multisource data of The Netherlands show that 27 out of the 28 variables have a non-linear and threshold effect on cycling volume. Temperature is found to be a dominant factor among all variables. At street level, slope is the most important factor, followed by the green view and sky view indexes. At neighborhood level, population density is the most important factor, followed by residential density, and the density of bus stops. These findings offer useful insights for planning a cycling-friendly urban built environment at different scales.
2022
Zhang, Jiyang; Yang, Min; Ji, Junyi; Feng, Tao; Yuan, Yalong; Chen, Enhui; Wang, Lichao
Customizing the promotion strategies of integrated air-bus service based on passenger satisfaction Journal Article
In: Transportation Research Part D: Transport and Environment, vol. 109, pp. 103385, 2022, ISSN: 1361-9209.
Abstract | Links | BibTeX | Tags: Clustering analysis, Gradient Boosting Decision Tree, Impact-asymmetry analysis, Integrated air-bus services, Passenger satisfaction, Service promotion
@article{ZHANG2022103385,
title = {Customizing the promotion strategies of integrated air-bus service based on passenger satisfaction},
author = {Jiyang Zhang and Min Yang and Junyi Ji and Tao Feng and Yalong Yuan and Enhui Chen and Lichao Wang},
url = {https://www.sciencedirect.com/science/article/pii/S1361920922002139},
doi = {https://doi.org/10.1016/j.trd.2022.103385},
issn = {1361-9209},
year = {2022},
date = {2022-01-01},
journal = {Transportation Research Part D: Transport and Environment},
volume = {109},
pages = {103385},
abstract = {The integrated air-bus service expands the catchment area and alleviates congestion of regional airports. To gain further insights into the unexplored potential attributes of the integrated service that generate passenger satisfaction, this paper utilizes a two-stage analysis approach to identify the key promotion factors for passengers from different constituents. Based on the survey data collected in Nanjing Lukou International Airport, this paper 1) uses k-means clustering to categorize respondents into four groups. 2) Combines the gradient boosting decision tree and impact asymmetry analysis to identify the attributes that have nonlinear influences on the overall service satisfaction for each group respectively. Results suggest that the timetable of the airport bus is critical for all passenger groups. Interestingly, there are noticeable differences in passenger satisfaction with the accessibility, cost affordability, comfort, reliability, and integration of the integrated service, providing the basis for customizing service promotion strategies among different passenger groups and airports.},
keywords = {Clustering analysis, Gradient Boosting Decision Tree, Impact-asymmetry analysis, Integrated air-bus services, Passenger satisfaction, Service promotion},
pubstate = {published},
tppubtype = {article}
}
The integrated air-bus service expands the catchment area and alleviates congestion of regional airports. To gain further insights into the unexplored potential attributes of the integrated service that generate passenger satisfaction, this paper utilizes a two-stage analysis approach to identify the key promotion factors for passengers from different constituents. Based on the survey data collected in Nanjing Lukou International Airport, this paper 1) uses k-means clustering to categorize respondents into four groups. 2) Combines the gradient boosting decision tree and impact asymmetry analysis to identify the attributes that have nonlinear influences on the overall service satisfaction for each group respectively. Results suggest that the timetable of the airport bus is critical for all passenger groups. Interestingly, there are noticeable differences in passenger satisfaction with the accessibility, cost affordability, comfort, reliability, and integration of the integrated service, providing the basis for customizing service promotion strategies among different passenger groups and airports.