Passenger Flows in Underground Railway Stations and Platforms, MTI Report 12-43

Urban rail systems are designed to carry large volumes of people into and out of major activity centers. As a result, the stations at these major activity centers are often crowded with boarding and alighting passengers, resulting in passenger inconvenience, delays, and at times danger. This study examines the planning and analysis of station passenger queuing and flows to offer rail transit station designers and transit system operators guidance on how to best accommodate and manage their rail passengers. The objectives of the study are to: 1) Understand the particular infrastructural, operational, behavioral, and spatial factors that affect and may constrain passenger queuing and flows in different types of rail transit stations; 2) Identify, compare, and evaluate practices for efficient, expedient, and safe passenger flows in different types of station environments and during typical (rush hour) and atypical (evacuations, station maintenance/ refurbishment) situations; and 3) Compile short-, medium-, and long-term recommendations for optimizing passenger flows in different station environments

Coordinated Transit Response Planning and Operations Support Tools for Mitigating Impacts of All-Hazard Emergency Events

This report summarizes current computer simulation capabilities and the availability of near-real-time data sources allowing for a novel approach of analyzing and determining optimized responses during disruptions of complex multi-agency transit system. The authors integrated a number of technologies and data sources to detect disruptive transit system performance issues, analyze the impact on overall system-wide performance, and statistically apply the likely traveler choices and responses. The analysis of unaffected transit resources and the provision of temporary resources are then analyzed and optimized to minimize overall impact of the initiating event

BUILDING PRELIMINARY GUIDELINE FOR EARTHQUAKE EVACUATION

Disaster frequency appears to be increasing. The impact of those disasters has increased substantially in terms of mortality and economic losses. Evacuation, as an inevitable part of disaster management systems, plays a critical role in disaster mitigation. The efficiency of all-hazard disaster evacuation could be increased by making appropriate decisions on policies and practices for planning, preparedness and response, and taking certain traffic operations, management and control. Common principles for large disaster evacuation have been established, mostly based on the experience of hurricane events. However, earthquakes have a series of special characteristics, which are different from other disasters, such as being hard to predict and leading to a great deal of secondary disasters. The 1994 Northridge earthquake in California and the 2008 Wenchuan earthquake in China are chosen as examples to track and compare disaster response, including evacuation effectiveness. A primary guideline for earthquake evacuation plan is developed in this study

Developing Early Risk Detection and Preparedness System with Risk Analysis and Contingency Plan

PresentationWhen the natural or human-made disasters, such as hurricanes, floods, tornadoes, wildfires and gas leaks, threaten a populated area, mass casualties and property losses may be followed. To avoid, minimize or eliminate the risks for public safety, a well-organized early risk detection and preparedness system is needed in order to save lives and minimize losses. To make this early detection system efficient yet effective, a mobile app, risk preparedness aid, was developed. This aid system can communicate with sensors, location information, and disaster management server. The aid was designed using the concepts of location based service and risk management and it includes gas leak detection, warning and emergency evacuation procedure with routing. Based on the identified risks and preparing procedure, various contingency plans were developed. The contingency plans should be very clear so that it is easy for public and employee to follow. Because each system has unique infrastructure its contingency plan must be unique. This paper also shows an evacuation process in the form of a flowchart for ease of use in the event of an emergency

Mass Evacuation Effects on Transportation: A Comparative Analysis

Mass evacuations have changed greatly in the past two decades. Evacuations such as Louisiana during Hurricane Katrina, Florida during Hurricane Irma, and New York during the 9/11 Terrorist Attacks, Hurricane Sandy, and Hurricane Irene have had significant impacts on future mass evacuations in terms of transportation. This paper takes these methods and analyzes the best approach in given situations based on volume capacity, impact, and cost to make recommendations that can be used by the three previously mention municipalities. With so many different techniques available, it is important to choose the one that moves the most people out of harm’s way as quickly and effectively as possible while still being economical. Data from various transportation engineering professionals is used to examine different techniques. Many of these papers have been published by Transportation Research Board. Additionally, a subject matter expert interview was conducted with Dr. Scott Parr, Ph.D. from Embry-Riddle Aeronautical University. Based on the research conducted, Emergency Shoulder Usage (ESU) is a superior option to contraflow. Fee suspension also has a significant impact on areas with a low-income area. In areas where there was a switch from pretimed signal timing to semi-actuated or fully actuated signal timing a better LOS during mass evacuations was seen. For the implementation of these techniques to be beneficial, resiliency is important and why the last recommendation calls for professionals to petition for better infrastructure and resiliency. Based on the research conducted, Emergency Shoulder Usage (ESU) is a superior option to contraflow. Fee suspension also has a significant impact on areas with a low-income area. In areas where there was a switch from pretimed signal timing to semi-actuated or fully actuated signal timing a better LOS during mass evacuations was seen. For the implementation of these techniques to be beneficial, resiliency is important and why the last recommendation calls for professionals to petition for better infrastructure and resiliency

Multi-objective decision analytics for short-notice bushfire evacuation: An Australian case study

This paper develops a multi-objective optimisation model to compute resource allocation,shelter assignment and routing options to evacuate late evacuees from affected areas to shelters.Three bushfire scenarios are analysed to incorporate constraints of restricted time-window and potential road disruptions.Capacity and number of rescue vehicles and shelters are other constraints that are identical in all scenarios.The proposed mathematical model is solved by ?-constraint approach.Objective functions are simultaneously optimised to maximise the total number of evacuees and assigned rescue vehicles and shelters.We argue that this model provides a scenario-based decision-making platform to aid minimise resource utilisation and maximise coverage of late evacuees

DEVELOPMENT OF A MIXED-FLOW OPTIMIZATION SYSTEM FOR EMERGENCY EVACUATION IN URBAN NETWORKS

In most metropolitan areas, an emergency evacuation may demand a potentially large number of evacuees to use transit systems or to walk over some distance to access their passenger cars. In the process of approaching designated pick-up points for evacuation, the massive number of pedestrians often incurs tremendous burden to vehicles in the roadway network. Hence, one critical issue in a multi-modal evacuation planning is the effective coordination of the vehicle and pedestrian flows by considering their complex interactions. The purpose of this research is to develop an integrated system that is capable of generating the optimal evacuation plan and reflecting the real-world network traffic conditions caused by the conflicts of these two types of flows. The first part of this research is an integer programming model designed to optimize the control plans for massive mixed pedestrian-vehicle flows within the evacuation zone. The proposed model, integrating the pedestrian and vehicle networks, can effectively account for their potential conflicts during the evacuation. The model can generate the optimal routing strategies to guide evacuees moving toward either their pick-up locations or parking areas and can also produce a responsive plan to accommodate the massive pedestrian movements. The second part of this research is a mixed-flow simulation tool that can capture the conflicts between pedestrians, between vehicles, and between pedestrians and vehicles in an evacuation network. The core logic of this simulation model is the Mixed-Cellular Automata (MCA) concept, which, with some embedded components, offers a realistic mechanism to reflect the competing and conflicting interactions between vehicle and pedestrian flows. This study is expected to yield the following contributions * Design of an effective framework for planning a multi-modal evacuation within metropolitan areas; * Development of an integrated mixed-flow optimization model that can overcome various modeling and computing difficulties in capturing the mixed-flow dynamics in urban network evacuation; * Construction and calibration of a new mixed-flow simulation model, based on the Cellular Automaton concept, to reflect various conflicting patterns between vehicle and pedestrian flows in an evacuation network

A review of traffic models for wildland-urban interface wildfire evacuation

Recent years have seen an increased prevalence of wildfires, some of which has spread into the wildland-urban interface and lead to large-scale evacuations. Large-scale evacuations gives rise to both logistical and traffic related issues. To aid in the planning and execution of such evacuations reliable modelling tools to simulate evacuation traffic are needed. Today no traffic model exists which is dedicated only to simulate wildfire evacuation in the wildland/urban interface. The aim of this thesis is to identify benchmark characteristics needed in such a model and review 12 existing models, both traffic models and evacuation models, and their potential usefulness in WUI wildfire scenarios. The thesis concludes that some models can be tuned to represent aspects of a WUI fire evacuation and that future research should focus on integrating traffic modelling with modelling of fire/smoke spread and pedestrian movement

On Evacuation Planning Optimization Problems from Transit-based Perspective

Increasing number of complex traffic networks and disasters today has brought difficulty in managing the rush hours traffic as well as the large events in urban areas. The optimal use of the vehicles and their assignments to the appropriate shelters from the disastrous zones are highly complicated in emergency situations. The maximum efficiency and effectiveness of the evacuation planning can be achieved by the appropriate and significant assignment of the transit dependent vehicles during pre and post-disaster operations. This paper presents a comprehensive overview of the evacuation planning optimization techniques developed over the years, emphasizing the importance of their formulation and the solution strategies on disaster management from the transit-based perspective. Each technique is briefly described and presented lucidly with some of its known applications, significances, and solution strategies expecting that it should be able to guide much more interest into this important and growing area of research