Examining Intercity Rail Passenger Station Access Patterns

2012 ◽  
Author(s):  
Benjamin R. Sperry ◽  
Jeffery E. Warner
Keyword(s):  
Market Area ◽  
Passenger Rail ◽  
Steady Growth ◽  
Mode Split ◽  
Mode Share ◽  
Using Data ◽  
Access Patterns ◽  
Rail Station ◽  
Rail Services ◽  
Passenger Station

Travel on intercity passenger rail is growing in popularity across the U.S. Amtrak, the nation’s intercity passenger rail operator, reported a steady growth in ridership over the last decade; for the 12-month period ending in September 2011, Amtrak carried more than 30 million passengers, a first in the company’s 40-year history. This growth has resulted in widespread interest in developing new intercity passenger rail services or improving existing services with new station facilities and other investments. An issue of interest to the rail planning and policy community revolves around station access patterns, and there are many questions that remain unanswered on this subject. For this paper, these questions include: What is the mode share for passenger trips to and from the rail station? How far do passengers travel to access rail services? Has the market area for intercity passenger rail expanded with increasing ridership, or has the market area remained unchanged during this recent period of growth? Using data obtained from on-board surveys of existing Amtrak passengers in Michigan and Wisconsin, USA, this paper examines the evolving nature of rail passenger station access patterns over the last decade. Specifically, patterns in the overall station access trip mode split, the passengers’ self-reported travel time to and from the rail station, and the spatial distribution of passenger home residential zip codes relative to the rail station are analyzed. Analysis shows that 50 percent of rail passengers reside between 8 and 20 miles from a rail station, depending on the route, and that the market area for selected routes has expanded in recent years. Rail planners can use the findings from this paper to develop new station facility designs or to correct issues that may be present at existing stations. The findings of this paper can also be used to guide the deployment of marketing and promotion of rail services to residents within the “catchment area” of a station.

Improving Intercity Passenger Rail Planning using Evidence from Passenger Survey Data

2018 ◽  
Vol 2672 (10) ◽  
pp. 236-246 ◽  
Author(s):  
Benjamin R. Sperry ◽  
Tyler Collins
Keyword(s):  
Valuable Insight ◽  
Market Area ◽  
Investment Strategies ◽  
Federal Mandates ◽  
Alternative Mode ◽  
Mode Shift ◽  
Passenger Rail ◽  
Data Driven Approach ◽  
Insight Into ◽  
Rail Services

Federal mandates require that states develop comprehensive state rail plans that clarify a vision for the role of intercity passenger rail services in the state’s transportation system and a program of projects necessary to achieve that vision. In that context, this paper presents an analysis of more than 10,000 surveys obtained during the past 10 years from passengers of five U.S. state-supported intercity passenger rail routes. The purpose of the analysis is to support the development of state rail plans by gaining valuable insight into passenger behavior, the market area for passenger rail services, and the broader mobility impacts of passenger rail services. The market area analysis found that approximately three-quarters of rail passengers live within 30 mi of a rail station, affirming the use of this distance as a radius for planning purposes. The mobility analysis indicated that automobile is the primary alternative to passenger rail services among passengers of the five routes; statistical models of alternative mode preference yielded significant insight into strategies that states can implement to increase the mode shift of automobile and airplane passengers to rail services. The findings and recommendations of this paper can be used by planners and policymakers to implement a practical yet data-driven approach to the development of passenger-related components of state rail plans, providing a clear linkage between investment strategies and statewide mobility goals.

Open access passenger rail services in Central Europe

2018 ◽  
Vol 72 ◽  
pp. 74-81 ◽  
Author(s):  
Zdeněk Tomeš ◽  
Monika Jandová
Keyword(s):  
Open Access ◽  
Central Europe ◽  
Passenger Rail ◽  
Rail Services

A Comprehensive Framework for Assessing Passenger Rail Services: A Case Study of the Hoosier State Line

2014 ◽  
Author(s):  
V. Dimitra Pyrialakou ◽  
Konstantina (Nadia) Gkritza
Keyword(s):  
High Speed ◽  
Systems Approach ◽  
Cost Effective ◽  
The United States ◽  
Economic Benefits ◽  
Fiscal Year ◽  
High Speed Rail ◽  
Passenger Rail ◽  
Rail Services

The development of a nationwide commuter and high-speed rail (HSR) network has been suggested as a promising and “greener” passenger transport solution with the potential to reduce energy consumption and greenhouse gas emissions, given efficient planning that will ensure sufficient ridership and sustainable investment. It is anticipated that passenger rail growth will bring regional economic benefits as well as promote energy independence, transportation safety, and livable communities with improved accessibility and inter-connectivity. Much research has been conducted to identify the benefits and costs associated with the operation, maintenance, and improvement of passenger rail services. However, previous studies supporting investment in passenger rail have generally considered one evaluation factor at a time. Additionally, studies suggesting that investment in passenger rail is not cost-effective give more weight to quantifiable benefits and current conditions, and rarely consider changes in public preferences influenced by policies and fostered conditions to encourage mode shifts. Thus, the literature lacks a comprehensive approach that would evaluate investments in passenger rail, accounting for quantifiable and other benefits, in light of environmental, resilience and sustainability, economic, demand, and feasibility factors. Using a case study of the Hoosier State line, this study illustrates a systems approach for comprehensively assessing passenger rail services in the United States in terms of the system’s existing opportunities and future directions. The Hoosier State line operates four days per week between Indianapolis, Indiana and Chicago, Illinois with four intermediate stops. As of October 1, 2013, the State of Indiana, local communities, and Amtrak reached an agreement to support the Hoosier State line for the next fiscal year (2013–2014).

The development of international passenger rail services from 2007 to 2016: The case of Switzerland

2018 ◽  
Vol 69 ◽  
pp. 326-336 ◽  
Author(s):  
Widar von Arx ◽  
Vu Thi Thao ◽  
Philipp Wegelin ◽  
Simon Maarfield ◽  
Jonas Frölicher
Keyword(s):  
Passenger Rail ◽  
Rail Services

Research and Application of the Reforming Scheme of the High-Speed Railway Existing Passenger Station

2013 ◽  
Vol 409-410 ◽  
pp. 509-513
Author(s):  
Li Han ◽  
Hong Bin Liu ◽  
Chun Pu Xie
Keyword(s):  
High Speed ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Problems And Solutions ◽  
Rail Station ◽  
Passenger Station

In this paper, it analyzes and elaborates the Harbin-Dalian high-speed rail introduced both the Shenyang Rail Station and Shenyang North Rail Station design involved problems and solutions, also states to pay attention to the problems existing station renovation.

Supporting HPC Analytics Applications with Access Patterns Using Data Restructuring and Data-Centric Scheduling Techniques in MapReduce

2013 ◽  
Vol 24 (1) ◽  
pp. 158-169 ◽  
Author(s):  
Saba Sehrish ◽  
Grant Mackey ◽  
Pengju Shang ◽  
Jun Wang ◽  
John Bent
Keyword(s):  
Data Restructuring ◽  
Using Data ◽  
Access Patterns

scholarly journals Analisis Implikasi Kepuasan Pelanggan Terhadap Perilaku Pasca Pembelian Melalui Testimoni Dalam Situs Pemasaran Internet

2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Nanis Susanti
Keyword(s):  
Service Quality ◽  
Descriptive Analysis ◽  
Global Market ◽  
Internet Technology ◽  
Purchase Behavior ◽  
Market Area ◽  
Marketing System ◽  
Online Store ◽  
Using Data ◽  
Voice Of Customer

In global market area, not only marketing concept we have to do, but also applied marketing technology. Getting the service quality is doing by not only physical meet among the customer and service provider, such as conventional market system. In modern community there are like to be faster and instant, time limited is the reason for customer to shopping in the recent system. By the modern marketing system with applying internet technology, called Internet marketing, the time constraint be minimized. The modern marketing system will closer the distance within the customer and department store, nevertheless just in home shopping. A satisfied customer wills recommend their experience to their community, in either on line community or face to face. Studying and analyzing online store network Zappos.com generate the importance factors for customer satisfaction that will be impact to post purchase behavior. Descriptive analysis using data base of testimony have been explore, there are importance factors: product quality, service quality. That mean testimony is guidance to the other online store how hearing the voice of customer.

Are Foreclosures Contagious?

2013 ◽  
Vol 4 (4) ◽  
pp. 19-36
Author(s):  
Alan T. Murray ◽  
Julia Koschinsky ◽  
Yin Liu ◽  
Sergio J. Rey ◽  
Lawrence A. Brown
Keyword(s):  
Central City ◽  
Spatial Association ◽  
Spillover Effects ◽  
Market Area ◽  
Franklin County ◽  
Spatial Methods ◽  
Contagion Effects ◽  
Using Data ◽  
Home Values ◽  
Average Cluster

Significant foreclosure activity in a weak housing market area is a sign of trouble, suggesting potential subsequent neighborhood decline. This article focuses on an under-researched question of whether higher foreclosure rates in a neighborhood tend to spill over into adjacent neighborhoods. The authors detail exploratory spatial methods to identify where potential spillover effects occur: kernel density surfaces, space-time local indicators of spatial association (LISA) and LISA Markov. Using data for Franklin County, Ohio the authors find that foreclosure rate hotspots are concentrated in lower-income, more African-American central city areas. The majority of hotspots (around 90%) persist over time and space but about 10% of all hotspots are consistent with contagion effects between neighboring areas. Only 1-3% of neighborhoods experience spillovers as below-average to above-average cluster transitions. In general, contagion effects occur in areas with higher rates of African-Americans, poverty and lower median home values and incomes. However, the authors also observe a sub-trend suggesting possibly accelerated hotspot growth in otherwise comparable Caucasian areas.

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