Modeling cyclists' facility choice and its application in bike lane usage forecasting
In some circumstances on streets equipped with new bike facilities, cyclists are not interested in using them. Instead, they continue to use shared spaces with pedestrians or motor vehicles. Thus, simply adding a bike facility does not guarantee that cyclists will switch to using it. Owing to the co...
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doaj-eedd91aa32814ef9809dbf0eb6729a8f2020-11-24T21:54:14ZengElsevierIATSS Research0386-11122018-07-014228695Modeling cyclists' facility choice and its application in bike lane usage forecastingNguyen Duc-Nghiem0Nguyen Hoang-Tung1Aya Kojima2Hisashi Kubota3Department of Civil and Environmental Engineering, Graduate School of Science and Engineering, Saitama University, 255 Shimookubo, Sakura-ku, Saitama 338-8570, Japan; Corresponding author.Section of Project & Project Management, Department of Civil Engineering, University of Transport & Communications, No. 3 Phao Dai Lang, Lang Thuong, Cau Giay, Hanoi, Viet NamDepartment of Civil and Environmental Engineering, Graduate School of Science and Engineering, Saitama University, 255 Shimookubo, Sakura-ku, Saitama 338-8570, JapanDepartment of Civil and Environmental Engineering, Graduate School of Science and Engineering, Saitama University, 255 Shimookubo, Sakura-ku, Saitama 338-8570, JapanIn some circumstances on streets equipped with new bike facilities, cyclists are not interested in using them. Instead, they continue to use shared spaces with pedestrians or motor vehicles. Thus, simply adding a bike facility does not guarantee that cyclists will switch to using it. Owing to the considerable development of bike facilities, the investigation of facility preference, particularly focusing on facility choice forecast, has become increasingly important. This study developed a model for predicting the facility choice of cyclists between on-street facilities (curb, traffic lane, and bike lane (BL)) and off-street facilities (sidewalks). Initially, the optimal model was selected using Bayesian Model Averaging method. Then, it was validated by both internal and external validations. Apart from the aforementioned factors, several other exogenous variables were also found to be significant predictors of bike facility choice, including the width of traffic lanes, existence of real-time stopping vehicle, type of bike, bus stop existence, and in-group cycling. Analysis of the relative importance of predictors indicated that bus stop existence, effective sidewalk width, and type of bike were the potential predictors. A framework for predicting BL usage, if it is present, was also developed. A test for the predictive performance of the application at a real site was carried out. By comparing predicted and actual BL usage figures, the analysis showed good predictive performance. The results of this study can help developers, planners, and designers to adopt reasonable investment decisions as well as better designs in developing new bike facilities. Keywords: Bicycle facility, Bicycle facility preference, Bicycle facility choice, Bicycle lane, Bicycle lane usagehttp://www.sciencedirect.com/science/article/pii/S0386111216300516 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nguyen Duc-Nghiem Nguyen Hoang-Tung Aya Kojima Hisashi Kubota |
spellingShingle |
Nguyen Duc-Nghiem Nguyen Hoang-Tung Aya Kojima Hisashi Kubota Modeling cyclists' facility choice and its application in bike lane usage forecasting IATSS Research |
author_facet |
Nguyen Duc-Nghiem Nguyen Hoang-Tung Aya Kojima Hisashi Kubota |
author_sort |
Nguyen Duc-Nghiem |
title |
Modeling cyclists' facility choice and its application in bike lane usage forecasting |
title_short |
Modeling cyclists' facility choice and its application in bike lane usage forecasting |
title_full |
Modeling cyclists' facility choice and its application in bike lane usage forecasting |
title_fullStr |
Modeling cyclists' facility choice and its application in bike lane usage forecasting |
title_full_unstemmed |
Modeling cyclists' facility choice and its application in bike lane usage forecasting |
title_sort |
modeling cyclists' facility choice and its application in bike lane usage forecasting |
publisher |
Elsevier |
series |
IATSS Research |
issn |
0386-1112 |
publishDate |
2018-07-01 |
description |
In some circumstances on streets equipped with new bike facilities, cyclists are not interested in using them. Instead, they continue to use shared spaces with pedestrians or motor vehicles. Thus, simply adding a bike facility does not guarantee that cyclists will switch to using it. Owing to the considerable development of bike facilities, the investigation of facility preference, particularly focusing on facility choice forecast, has become increasingly important. This study developed a model for predicting the facility choice of cyclists between on-street facilities (curb, traffic lane, and bike lane (BL)) and off-street facilities (sidewalks). Initially, the optimal model was selected using Bayesian Model Averaging method. Then, it was validated by both internal and external validations. Apart from the aforementioned factors, several other exogenous variables were also found to be significant predictors of bike facility choice, including the width of traffic lanes, existence of real-time stopping vehicle, type of bike, bus stop existence, and in-group cycling. Analysis of the relative importance of predictors indicated that bus stop existence, effective sidewalk width, and type of bike were the potential predictors. A framework for predicting BL usage, if it is present, was also developed. A test for the predictive performance of the application at a real site was carried out. By comparing predicted and actual BL usage figures, the analysis showed good predictive performance. The results of this study can help developers, planners, and designers to adopt reasonable investment decisions as well as better designs in developing new bike facilities. Keywords: Bicycle facility, Bicycle facility preference, Bicycle facility choice, Bicycle lane, Bicycle lane usage |
url |
http://www.sciencedirect.com/science/article/pii/S0386111216300516 |
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