scholarly journals Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool

2021 ◽  
Vol 143 ◽  
pp. 177-200
Author(s):  
Ling-Ling Xiao ◽  
Tian-Liang Liu ◽  
Hai-Jun Huang ◽  
Ronghui Liu
Keyword(s):  
Spatial Allocation ◽  
Morning Commute ◽  
Bottleneck Capacity

Morning commute problem with queue-length-dependent bottleneck capacity

2019 ◽  
Vol 121 ◽  
pp. 184-215 ◽  
Author(s):  
Jin-Yong Chen ◽  
Rui Jiang ◽  
Xin-Gang Li ◽  
Mao-Bin Hu ◽  
Bin Jia ◽  
...  
Keyword(s):  
Queue Length ◽  
Morning Commute ◽  
Bottleneck Capacity

scholarly journals Congestion Behavior under Uncertainty on Morning Commute with Preferred Arrival Time Interval

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
LingLing Xiao ◽  
Ronghui Liu ◽  
HaiJun Huang
Keyword(s):  
Arrival Time ◽  
Numerical Solutions ◽  
Fixed Time ◽  
User Equilibrium ◽  
Time Interval ◽  
Work Schedule ◽  
Schedule Delay ◽  
Departure Time ◽  
Morning Commute ◽  
Bottleneck Capacity

This paper extends the bottleneck model to study congestion behavior of morning commute with flexible work schedule. The proposed model assumes a stochastic bottleneck capacity which follows a uniform distribution and homogeneous commuters who have the same preferred arrival time interval. The commuters are fully aware of the stochastic properties of travel time and schedule delay distributions at all departure times that emerge from day-to-day capacity variations. The commuters’ departure time choice follows user equilibrium (UE) principle in terms of the expected trip cost. Analytical and numerical solutions of this model are provided. The equilibrium departure time patterns are examined which show that the stochastic capacity increases the mean trip cost and lengthens the rush hour. The adoption of flexitime results in less congestion and more efficient use of bottleneck capacity than fixed-time work schedule. The longer the flexi-time interval is, the more uniformly distributed the departure times are.

scholarly journals Early Bird Scheme for Parking Management: How Does Parking Play a Role in the Morning Commute Problem

2021 ◽  
Vol 13 (15) ◽  
pp. 8531
Author(s):  
Zipeng Zhang ◽  
Ning Zhang
Keyword(s):  
Traffic Congestion ◽  
Travel Demand ◽  
User Equilibrium ◽  
Analysis Model ◽  
Early Bird ◽  
Schedule Coordination ◽  
Parking Management ◽  
Morning Commute ◽  
Bottleneck Capacity ◽  
Parking Pricing

This paper extended the Vickrey’s point-queue model to study the early bird parking mechanism during morning commute peak hours. We not only investigated how commuters choose departure times in view of morning commute traffic congestion and the discounted early bird parking fee, but also analyzed the conditions which are determined for the existence of the user equilibrium in the analysis model provided in this paper. Moreover, the tendency of the total queuing time and the incremental parking pricing revenue was derived along with the different choice strategy between early bird parkers (ERPs) and regular parkers (RPs). The results showed that the number of commuters was jointly determined by the desired time and the bottleneck capacity for different schedules. Additionally, the method of fare incentive showed a better effect on reducing queue than the initial no-incentive method with the instantaneous travel demand. Most importantly, the incremental parking revenue can be increased by properly adjusting the parking pricing gap between ERPs and RPs. Our research not only provided several important propositions for the early bird parking mechanism but also included the optimal solutions for optimal parking pricing and schedule gap in two groups of parkers. This work is expected to promote the development of early bird parking to mitigate morning commute traffic congestion and motivate the related research of schedule coordination for regulating parking choice behavior in morning peak hours.

scholarly journals Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 449
Author(s):  
Lili Li ◽  
Kun Wang ◽  
Zhijian Sun ◽  
Weiye Wang ◽  
Qingliang Zhao ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Emission Inventory ◽  
Road Dust ◽  
Field Investigation ◽  
Pollutant Emissions ◽  
County Level ◽  
Bottom Up ◽  
Spatial Allocation ◽  
Paved Road

Road dust is one of the primary sources of particulate matter which has implications for air quality, climate and health. With the aim of characterizing the emissions, in this study, a bottom-up approach of county level emission inventory from paved road dust based on field investigation was developed. An inventory of high-resolution paved road dust (PRD) emissions by monthly and spatial allocation at 1 km × 1 km resolution in Harbin in 2016 was compiled using accessible county level, seasonal data and local parameters based on field investigation to increase temporal-spatial resolution. The results demonstrated the total PRD emissions of TSP, PM10, and PM2.5 in Harbin were 270,207 t, 54,597 t, 14,059 t, respectively. The temporal variation trends of pollutant emissions from PRD was consistent with the characteristics of precipitation, with lower emissions in winter and summer, and higher emissions in spring and autumn. The spatial allocation of emissions has a strong association with Harbin’s road network, mainly concentrating in the central urban area compared to the surrounding counties. Through scenario analysis, positive control measures were essential and effective for PRD pollution. The inventory developed in this study reflected the level of fugitive dust on paved road in Harbin, and it could reduce particulate matter pollution with the development of mitigation strategies and could comply with air quality modelling requirements, especially in the frigid region of northeastern China.

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