A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration
Bike-share program is considered effective and reliable if its stations have bikes and empty docks available at any time of a day. Few studies have considered idle bikes in the system and even lesser have glanced on modeling bikes idle duration (BID) in the bike-share system. This study applied descriptive statistics and log-logistic hazard based model on one year Seattle bike-share ridership data to quantify the BID and determine factors associated with the bikes’ idle duration. The findings of the study illustrate that the most and least effective utilized bike were used for 161 hours and 0.19 hours respectively for the entire year. Winter season, especially when raining and snowing was found to increase the likelihood of long BID. On the other end, the bikes located in commercial areas were associated with short BID compared to residential land-use. Moreover, weekend days and evening peak hours (4 p.m. to 6 p.m.) are associated with less likelihood of the BID compared with weekdays and morning peak hours respectively. These findings will facilitate procedures to identify the idle bikes for redistribution strategy and enhancing effective utilization of the bike-share system.
Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration
Bike-share program is considered effective and reliable if its stations have bikes and empty docks available at any time of a day. Few studies have considered idle bikes in the system and even lesser have glanced on modeling bikes idle duration (BID) in the bike-share system. This study applied descriptive statistics and log-logistic hazard based model on one year Seattle bike-share ridership data to quantify the BID and determine factors associated with the bikes’ idle duration. The findings of the study illustrate that the most and least effective utilized bike were used for 161 hours and 0.19 hours respectively for the entire year. Winter season, especially when raining and snowing was found to increase the likelihood of long BID. On the other end, the bikes located in commercial areas were associated with short BID compared to residential land-use. Moreover, weekend days and evening peak hours (4 p.m. to 6 p.m.) are associated with less likelihood of the BID compared with weekdays and morning peak hours respectively. These findings will facilitate procedures to identify the idle bikes for redistribution strategy and enhancing effective utilization of the bike-share system.
Towards a Better Understanding of Effectiveness of Bike-share Programs: Exploring Factors Affecting Bikes Idle Duration
Kutela, Boniphace (author) / Kidando, Emmanuel (author)
2017-03-11
American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS); Vol 29 No 1 (2017); 33-46 ; 2313-4402 ; 2313-4410
Article (Journal)
Electronic Resource
English
DDC:
690
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