Evaluating the Impacts of Bus Stop Design and Bus Dwelling on Operations of Multitype Road Users

On urban streets with bus stops, bus arrivals can disrupt traffic flows in the neighboring areas. Different stop designs have distinct influences on the road users. This study aims to evaluate how different types of bus stops affect the operations of vehicles, bicycles, and buses that pass by. Four types of stops that differ in geometric layout are examined. They are termed the shared bike/bus (Type 1), separated shared bike/bus (Type 2), vehicle/bus with inboard bike lane (Type 3), and bus bay with inboard bike lane (Type 4). Data are collected from eight sites in two cities of China. Results of data analysis show that different bus stop designs have quite different impacts on the neighboring traffic flows. More specifically, Type 3 stops create the least bicycle delay but the largest vehicle delay. Type 4 stops have the least impact on bicycle and vehicle operations, but occupy the most road space. Traffic operations are less affected by Type 1 stops than by Type 2 stops. Policy suggestions are discussed regarding the optimal design of bus stops that minimizes the total vehicle delay of all modes.

[1]  Ziyou Gao,et al.  Traffic Interactions between Motorized Vehicles and Nonmotorized Vehicles near a Bus Stop , 2009 .

[2]  Zhibin Li,et al.  Some Operational Features in Bicycle Traffic Flow , 2015 .

[3]  V. Thamizh Arasan,et al.  Influence of Bus Stops on Flow Characteristics of Mixed Traffic , 2005 .

[4]  Feixiong Liao,et al.  Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application , 2015, Transportation.

[5]  Xiaolei Ma,et al.  Development of a Data-Driven Platform for Transit Performance Measures Using Smart Card and GPS Data , 2014 .

[6]  Yanyan Chen,et al.  Development of Location Method for Urban Public Transit Networks Based on Hub-and-Spoke Network Structure , 2012 .

[7]  Shing Chung Josh Wong,et al.  Delay at signal-controlled intersection with bus stop upstream , 1998 .

[8]  Wei Wang,et al.  Exploring the causal relationship between bicycle choice and trip chain pattern , 2013 .

[9]  Mikko Rasanen.  Functionality of a bus stop at exit or merging lanes and its impact on driver behaviour , 2006 .

[10]  Yanfeng Ouyang,et al.  Mitigating Negative Impacts of Near-Side Bus Stops on Cars , 2013 .

[11]  Bingfeng Si,et al.  Mixed traffic flow modeling near Chinese bus stops and its applications , 2012 .

[12]  Wei Wang,et al.  Evaluation of Interactions between Buses and Bicycles at Stops , 2014 .

[13]  Mark R. McCord,et al.  Grouping of Bus Stops for Aggregation of Route-Level Passenger Origin–Destination Flow Matrices , 2012 .

[14]  D. Ragland,et al.  Bicycle commuting market analysis using attitudinal market segmentation approach , 2013 .

[15]  Yong Wang,et al.  Profit distribution in collaborative multiple centers vehicle routing problem , 2017 .

[16]  John M. Rose,et al.  Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand , 2013 .

[17]  Sabya Mishra.  Statistical and Econometric Methods for Transportation Data Analysis , 2014 .

[18]  Liang Gao,et al.  Car capacity near bus stops with mixed traffic derived by additive-conflict-flows procedure , 2011 .

[19]  Biyu Wang,et al.  Simulation of Autonomous Transit On Demand for Fleet Size and Deployment Strategy Optimization , 2018, ANT/SEIT.

[20]  M Raesaenen.  Functionality of a bus stop at exit or merging lanes and its impact on driver behaviour , 2006 .

[21]  Lily Elefteriadou,et al.  Research and Implementation of Lane-Changing Model Based on Driver Behavior , 2010 .

[22]  Wei Wang,et al.  Bicycle mode share in China: a city-level analysis of long term trends , 2017 .

[23]  Hokey Min,et al.  Public-private partnerships for improving the regional mass transit system: a case study of the Toledo Area Regional Transit Authority , 2014 .

[24]  Timothy C. Coburn,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2004, Technometrics.

[25]  Yong Wang,et al.  Cooperation and profit allocation in two-echelon logistics joint distribution network optimization , 2017, Appl. Soft Comput..

[26]  Michael J. Cassidy,et al.  Maximizing bus discharge flows from multi-berth stops by regulating exit maneuvers , 2013 .