Estimating the route-level passenger demand profile from bus dwell times

2021 ◽  
Vol 130 ◽  
pp. 103273
Author(s):  
Wenzhe Sun ◽  
Jan-Dirk Schmöcker ◽  
Koji Fukuda
Keyword(s):  
Passenger Demand ◽  
Demand Profile

Optimization for Urban Rail Timetable under Dynamic Passenger Demand on Different Days

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Yu Qiao ◽  
Chunfu Shao ◽  
Tianyu Zhang
Keyword(s):  
Passenger Demand ◽  
Urban Rail

Scheduling a Bus Fleet for Evacuation Planning Using Stop-Skipping Method

2021 ◽  
pp. 036119812110200
Author(s):  
Hu Zhao ◽  
Shumin Feng ◽  
Yusheng Ci
Keyword(s):  
Waiting Time ◽  
Ant Colony Algorithm ◽  
Programming Model ◽  
Peer To Peer ◽  
Mathematical Programming Model ◽  
Fleet Size ◽  
Bus Stop ◽  
Passenger Demand ◽  
Service Strategies ◽  
Bus System

Sudden passenger demand at a bus stop can lead to numerous passengers gathering at the stop, which can affect bus system operation. Bus system operators often deal with this problem by adopting peer-to-peer service, where empty buses are added to the fleet and dispatched directly to the stop where passengers are gathered (PG-stop). However, with this strategy, passengers at the PG-stop have a long waiting time to board a bus. Thus, this paper proposes a novel mathematical programming model to reduce the passenger waiting time at a bus stop. A more complete stop-skipping model that including four cases for passengers’ waiting time at bus stops is proposed in this study. The stop-skipping decision and fleet size are modeled as a dynamic program to obtain the optimal strategy that minimizes the passenger waiting time, and the optimization model is solved with an improved ant colony algorithm. The proposed strategy was implemented on a bus line in Harbin, China. The results show that, during the evacuation, using the stop-skipping strategy not only reduced the total waiting time for passengers but also decreased the proportion of passengers with a long waiting time (>6 min) at the stops. Compared with the habitual and peer-to-peer service strategies, the total waiting time for passengers is reduced by 31% and 23%, respectively. Additionally, the proportion of passengers with longer waiting time dropped to 43.19% by adopting the stop-skipping strategy, compared with 72.68% with the habitual strategy and 47.5% with the peer-to-peer service strategy.

Train timetabling with dynamic and random passenger demand: A stochastic optimization method

2021 ◽  
Vol 123 ◽  
pp. 102963
Author(s):  
Congcong Gong ◽  
Jungang Shi ◽  
Yanhui Wang ◽  
Housheng Zhou ◽  
Lixing Yang ◽  
...  
Keyword(s):  
Stochastic Optimization ◽  
Optimization Method ◽  
Train Timetabling ◽  
Passenger Demand

Solar Water Heater Design for Houses in Arid Zones

2013 ◽  
Author(s):  
Ramses Vega ◽  
Hector E. Campbell ◽  
Juan de Dios Ocampo ◽  
Diego R. Bonilla G.
Keyword(s):  
Solar Collector ◽  
Extreme Temperature ◽  
Hot Water ◽  
Arid Zones ◽  
Water Heater ◽  
Collector System ◽  
End Use ◽  
Flat Plate Solar Collector ◽  
Demand Profile ◽  
Heater Design

This paper shows the simulation and design of a flat plate solar collector system, used to feed hot water to a typical home located in the city of Mexicali, Baja California, México. The system consists of a solar collector, a storage tank, a water pump and accessories and special tools that allow its proper operation. Analyzing the consumption and end use of water in a typical House, a demand profile is established, which combined with the weather information of the region, constitutes the input parameters required for the simulation of the system, which is performed with the software package TRNSYS. Mexicali, due to its location (latitude 32 °, longitude 114 °) and semi-desert condition presents high temperatures in the summer and low in winter, so the design and operation of such systems require special features, not always considered in the conventional ratings. This paper presents methods for simulation and design oriented to optimize the dimensioning and operation of this type of solar heaters in regions with extreme temperature conditions.

The Impact of Structural Reforms and Regulations on the Demand Side in the Railway Industry

2019 ◽  
Vol 18 (1) ◽  
pp. 1-33
Author(s):  
Fumitoshi Mizutani
Keyword(s):  
Market Structure ◽  
Vertical Integration ◽  
High Speed ◽  
Fixed Effect Model ◽  
Structural Reform ◽  
Estimation Methods ◽  
Public Ownership ◽  
Estimation Model ◽  
Passenger Demand ◽  
The Impact

Abstract The main purpose of this study is to evaluate factors affecting passenger rail demand, with special attention to the effects of structural reform/regulation and competition. In order to do this, we use data obtained from 30 OECD countries for the 24 years from 1990 to 2013. As structural reform/regulation and competition variables, we take the OECD’s five kinds of regulatory indices: (i) overall, (ii) entry, (iii) public ownership, (iv) vertical integration, and (v) market structure; and for competition variables, we take (vi) rail passenger-freight ratio, (vii) rail share, and (viii) high-speed train ratio. As estimation methods, both the fixed effect model and the Hausman-Taylor estimation model are used. The major findings are as follows. First, competition as competitiveness (i.e. the share of rail, passenger over freight ratio) increases passenger demand. And the existence of high-speed trains increases passenger demand. Second, overall, entry regulation, and market structure have no significant effect on demand. Third, public ownership affects passenger demand positively. Last, vertical integration reduces passenger demand.

scholarly journals Using project demand profiling to improve the effectiveness and efficiency of infrastructure projects

2018 ◽  
Vol 38 (6) ◽  
pp. 1422-1442 ◽  
Author(s):  
Janet Godsell ◽  
Donato Masi ◽  
Antonios Karatzas ◽  
Timothy Mark Brady
Keyword(s):  
Portfolio Management ◽  
Infrastructure Projects ◽  
Content Type ◽  
Utility Company ◽  
Efficient Delivery ◽  
Management Literature ◽  
Effectiveness And Efficiency ◽  
Stage 1 ◽  
Demand Profile ◽  
Theoretical Saturation

Purpose The purpose of this paper is to explore the applicability and utility of supply chain (SC) segmentation through demand profiling to improve the effectiveness and efficiency of infrastructure projects by identifying different types of project demand profiles. Design/methodology/approach A three-stage abductive research design was adopted. Stage 1 explored the applicability of SC segmentation, through demand profiling, to the portfolio of infrastructure projects in a utility company. Stage 2 was an iterative process of “theory matching”, to the portfolio, programme and project management literature. In stage 3, theoretical saturation was reached and “theory suggestions” were made through four propositions. Findings Four propositions outline how SC segmentation through project demand profiling could improve the effectiveness and efficiency of infrastructure projects. P1: the ability to recognise the different demand profiles of individual projects, and groups thereof, is a portfolio management necessity. P2: projects that contribute to the strategic upgrade of a capital asset should be considered a potential programme of inter-related repeatable projects whose delivery would benefit from economies of repetition. P3: the greater the ability to identify different demand profiles of individual/groups of projects, the greater the delivery efficiency. P4: economies of repetition developed through efficient delivery of programmes of repeatable projects can foster greater efficiency in the delivery of innovative projects through economies of recombination. Originality/value This work fills a gap in the portfolio management literature, suggesting that the initial screening, selection and prioritisation of project proposals should be expanded to recognise not only the project type, but also each project’s demand profile.

scholarly journals Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

Energies ◽  
2013 ◽  
Vol 6 (12) ◽  
pp. 6608-6635 ◽  
Author(s):  
Naveed Hassan ◽  
Muhammad Pasha ◽  
Chau Yuen ◽  
Shisheng Huang ◽  
Xiumin Wang
Keyword(s):  
Smart Grid ◽  
Grid System ◽  
On Demand ◽  
Smart Grid System ◽  
Demand Profile
Sign in / Sign up

Export Citation Format

Share Document