The US Rail Intermodal Transportation Market (2017 Edition) - Daedal ResearchDaedal Research
The report entitled “The US Rail Intermodal Transportation Market (2017 Edition)”, provides analysis of the US intermodal transportation market. For details, write to info@daedal-research.com
Locating Office Product in Mixed-Use Projects & NeighborhoodsHR&A Advisors
This report examines the growing trend of locating significant amounts of office space in mixed-use developments in the urban and suburban contexts in terms of demand, supply, financing mechanism, and market performance.
Presentation by Adie Tomer, Senior Research Associate and Associate Fellow, Metropolitan Policy Program.
Global Cities Initiative forum in Atlanta, GA on March 19, 2013.
The Global Cities Initiative is a Joint Project of Brookings and JPMorgan Chase.
For more information: http://www.brookings.edu/projects/global-cities.aspx
ACT Research May Freight Forecast: What Impact on Freight Rates from Pre-Tari...Ian McGriff
ACT Research released the June installment of the ACT Freight Forecast, U.S. Rate and Volume OUTLOOK report covering the truckload, intermodal, LTL and last mile sectors.
SIMULATION OF PACKAGE DELIVERY OPTIMIZATION USING A COMBINATION OF CARRIERS A...ijcsit
A variety of goods and services in the contemporary world requires evolutionary improvement of services
e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated
with delivery services, purchasing of goods and services online, that makes competition between service
and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective
delivery plays important part authors decided to analyse possible ways of improvements in the current
field, especially for regions distantly located from popular distribution canters and drop-ship delivery
networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each
end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders
in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor
drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to
Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused
around mid and small companies living far from big distribution canters, in the rural areas but actively
using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the
problem of cost optimization for packages delivery for long-distance deliveries using a combination of
paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and
Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional
development is proposed in the perspective of the flow selection change for combination of carriers. The
experiment is based on data sources of the United States companies using a wide range of carriers for
delivery services and uses the data sources of the real companies; however, it applies repetitive
simulations to analyse variances in obtained solutions for different combinations of carriers.
A variety of goods and services in the contemporary world requires evolutionary improvement of services e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated with delivery services, purchasing of goods and services online, that makes competition between service and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective delivery plays important part authors decided to analyse possible ways of improvements in the current field, especially for regions distantly located from popular distribution canters and drop-ship delivery networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused around mid and small companies living far from big distribution canters, in the rural areas but actively using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the problem of cost optimization for packages delivery for long-distance deliveries using a combination of paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional development is proposed in the perspective of the flow selection change for combination of carriers. The experiment is based on data sources of the United States companies using a wide range of carriers for delivery services and uses the data sources of the real companies; however, it applies repetitive simulations to analyse variances in obtained solutions for different combinations of carriers.
The US Rail Intermodal Transportation Market (2017 Edition) - Daedal ResearchDaedal Research
The report entitled “The US Rail Intermodal Transportation Market (2017 Edition)”, provides analysis of the US intermodal transportation market. For details, write to info@daedal-research.com
Locating Office Product in Mixed-Use Projects & NeighborhoodsHR&A Advisors
This report examines the growing trend of locating significant amounts of office space in mixed-use developments in the urban and suburban contexts in terms of demand, supply, financing mechanism, and market performance.
Presentation by Adie Tomer, Senior Research Associate and Associate Fellow, Metropolitan Policy Program.
Global Cities Initiative forum in Atlanta, GA on March 19, 2013.
The Global Cities Initiative is a Joint Project of Brookings and JPMorgan Chase.
For more information: http://www.brookings.edu/projects/global-cities.aspx
ACT Research May Freight Forecast: What Impact on Freight Rates from Pre-Tari...Ian McGriff
ACT Research released the June installment of the ACT Freight Forecast, U.S. Rate and Volume OUTLOOK report covering the truckload, intermodal, LTL and last mile sectors.
SIMULATION OF PACKAGE DELIVERY OPTIMIZATION USING A COMBINATION OF CARRIERS A...ijcsit
A variety of goods and services in the contemporary world requires evolutionary improvement of services
e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated
with delivery services, purchasing of goods and services online, that makes competition between service
and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective
delivery plays important part authors decided to analyse possible ways of improvements in the current
field, especially for regions distantly located from popular distribution canters and drop-ship delivery
networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each
end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders
in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor
drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to
Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused
around mid and small companies living far from big distribution canters, in the rural areas but actively
using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the
problem of cost optimization for packages delivery for long-distance deliveries using a combination of
paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and
Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional
development is proposed in the perspective of the flow selection change for combination of carriers. The
experiment is based on data sources of the United States companies using a wide range of carriers for
delivery services and uses the data sources of the real companies; however, it applies repetitive
simulations to analyse variances in obtained solutions for different combinations of carriers.
A variety of goods and services in the contemporary world requires evolutionary improvement of services e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated with delivery services, purchasing of goods and services online, that makes competition between service and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective delivery plays important part authors decided to analyse possible ways of improvements in the current field, especially for regions distantly located from popular distribution canters and drop-ship delivery networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused around mid and small companies living far from big distribution canters, in the rural areas but actively using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the problem of cost optimization for packages delivery for long-distance deliveries using a combination of paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional development is proposed in the perspective of the flow selection change for combination of carriers. The experiment is based on data sources of the United States companies using a wide range of carriers for delivery services and uses the data sources of the real companies; however, it applies repetitive simulations to analyse variances in obtained solutions for different combinations of carriers.
A variety of goods and services in the contemporary world requires evolutionary improvement of services
e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated
with delivery services, purchasing of goods and services online, that makes competition between service
and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective
delivery plays important part authors decided to analyse possible ways of improvements in the current
field, especially for regions distantly located from popular distribution canters and drop-ship delivery
networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each
end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders
in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor
drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to
Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused
around mid and small companies living far from big distribution canters, in the rural areas but actively
using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the
problem of cost optimization for packages delivery for long-distance deliveries using a combination of
paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and
Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional
development is proposed in the perspective of the flow selection change for combination of carriers. The
experiment is based on data sources of the United States companies using a wide range of carriers for
delivery services and uses the data sources of the real companies; however, it applies repetitive
simulations to analyse variances in obtained solutions for different combinations of carriers.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
Building a Standard for Open Bikeshare DataMobility Lab
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SLP- IT Governance Dashboards, which display data using graphi.docxjennifer822
SLP- IT Governance
Dashboards, which display data using graphics, have become commonplace. They are used for many applications, such as showing voter turnout in different states during national elections. The first informational dashboards were used in early automobiles and featured gauges to indicate speed and mileage. Current automobile dashboards have become digital and can tell us much more about car performance than just miles per hour and distance traveled.
The dashboard concept is now used to render large amounts of data into a form that can be easily interpreted. Often, dashboards are interactive to allow the user to change some of the data inputs and displays. The Web now abounds in dashboards. The news media (CNN, MSNBC, etc.) are big on them.
The following dashboard was powered by live election results in the 2016 presidential election: www.politico.com/2016-election/results/map/president
Describe another website (not about elections) that provides an example of a dashboard that can be used in Business Intelligence or in other areas to inform the viewer. Describe the data in the dashboard and discuss how the information is provided in the dashboard.
SLP Assignment Expectations
Provide a link to a digital dashboard used for Business Intelligence. Provide details on how the digital dashboard is used and your impression of the effectiveness of the dashboard. This should take 2 to 3 pages.
Background Readings
https://youtu.be/03jCdpwmdsU -Lecture Database and Big Data
Anand, Abhijith, Coltman, Tim, & Sharma, Rajeev (2016). Four steps to realizing business value from digital data stream. MIS Quarterly Executive,15(4), 259-277. How to Find MIS Quarterly Executive
Read Chapters 2 and 3 in:
Business Information Systems (2015). Business Information Systems (2015). The Saylor Foundation. www.saylorbooks.com Creative Commons Book.
Chen, Hong-Mei, Schütz, Roland, Kazman, Rick, & Matthes, Florian (2017). How Lufthnsa capitalized on big data for business model renovation. MIS Quarterly Executive, 16(1), 19-34. How to Find MIS Quarterly Executive
Introduction to Computer Information Systems/Information Systems, Creative Commons license. Section 2. https://en.wikibooks.org/wiki/Introduction_to_Computer_Information_Systems
Ives, Blake, Palese, Biagio, & Rodriguez, Joaquin A. (2016). Enhancing customer service through the Internet of Things and digital data streams. MIS Quarterly Executive, 15(4), 279-297. How to Find MIS Quarterly Executive
Maring, Kristen. E (2015) Ethical issues in the big data industry. MIS Quarterly Executive, 14(2), 67-85. How to Find MIS Quarterly Executive
Mehrabani, Afshin (2014). Mongo: DB high availability: Design and implement a highly available server using the latest features of MondoDB. Birmingham, UK: Packt Publishing. Available in the Trident Online Library.
Read Chapter 8 in: Pearlson, K.E. and Saunders, C.S. (2010). Managing and using information systems: A strategic approach. John Wiley & Sons. .
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Move to e-commerce long overdue by US Secretary of State offices. The era of electronic filing has been with us now for twenty years. The world’s first fully electronic online business register emerged in New Zealand back in 1996. Since then, many uniform laws have been drafted in the U.S. to encourage the use of online record submissions and searching.
This white paper sets out the reasons for government to adopt contemporary technology solutions to deliver electronic registries.
A variety of goods and services in the contemporary world requires evolutionary improvement of services
e-commerce platform performance and optimization of costs. Contemporary society is deeply integrated
with delivery services, purchasing of goods and services online, that makes competition between service
and good providers a key selection factor for end-user.. As long as logistic, timely, and cost-effective
delivery plays important part authors decided to analyse possible ways of improvements in the current
field, especially for regions distantly located from popular distribution canters and drop-ship delivery
networks. Considering both: fast and lazy delivery the factor of costs is playing an important role for each
end-user. The work proposes a simulation that analyses the current cost of delivery for e-commerce orders
in the context of delivery by the Supplier Fleet, World-Wide delivery service fleet, and possible vendor
drop-ship and checks of the alternative ways can be used to minimize the costs. Special attention is given to
Drop-Ship networks as the factor of possible costs decrease. The main object of investigation is focused
around mid and small companies living far from big distribution canters, in the rural areas but actively
using e-commerce solutions for their daily activities. The authors analysed and proposed a solution for the
problem of cost optimization for packages delivery for long-distance deliveries using a combination of
paths delivered by supplier fleets, worldwide, local carriers and drop-ship networks. Data models and
Add-ons of contemporary Enterprise Resource Planning systems have been used, and additional
development is proposed in the perspective of the flow selection change for combination of carriers. The
experiment is based on data sources of the United States companies using a wide range of carriers for
delivery services and uses the data sources of the real companies; however, it applies repetitive
simulations to analyse variances in obtained solutions for different combinations of carriers.
CarStream: An Industrial System of Big Data Processing for Internet of Vehiclesijtsrd
As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for future transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data-driven services. The IoV data, especially high-frequency vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services. Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience. Rakshitha K. S | Radhika K. R"CarStream: An Industrial System of Big Data Processing for Internet of Vehicles" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14408.pdf http://www.ijtsrd.com/computer-science/database/14408/carstream-an-industrial-system-of-big-data-processing-for-internet-of-vehicles/rakshitha-k-s
Building a Standard for Open Bikeshare DataMobility Lab
Should the bikeshare industry adopt an open data standard? As bikesharing spreads to more cities, having a common method for accessing and analyzing data will become more important.
Moving Forward: Harnessing data to improve business outcomes in travel and tr...Susanna Harper
Smarter transportation can improve customer service, operate more efficiently, and assure safety. IBM is helping clients in all modes of travel and transportation harness their data using the power of analytics to address these challenges.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
SLP- IT Governance Dashboards, which display data using graphi.docxjennifer822
SLP- IT Governance
Dashboards, which display data using graphics, have become commonplace. They are used for many applications, such as showing voter turnout in different states during national elections. The first informational dashboards were used in early automobiles and featured gauges to indicate speed and mileage. Current automobile dashboards have become digital and can tell us much more about car performance than just miles per hour and distance traveled.
The dashboard concept is now used to render large amounts of data into a form that can be easily interpreted. Often, dashboards are interactive to allow the user to change some of the data inputs and displays. The Web now abounds in dashboards. The news media (CNN, MSNBC, etc.) are big on them.
The following dashboard was powered by live election results in the 2016 presidential election: www.politico.com/2016-election/results/map/president
Describe another website (not about elections) that provides an example of a dashboard that can be used in Business Intelligence or in other areas to inform the viewer. Describe the data in the dashboard and discuss how the information is provided in the dashboard.
SLP Assignment Expectations
Provide a link to a digital dashboard used for Business Intelligence. Provide details on how the digital dashboard is used and your impression of the effectiveness of the dashboard. This should take 2 to 3 pages.
Background Readings
https://youtu.be/03jCdpwmdsU -Lecture Database and Big Data
Anand, Abhijith, Coltman, Tim, & Sharma, Rajeev (2016). Four steps to realizing business value from digital data stream. MIS Quarterly Executive,15(4), 259-277. How to Find MIS Quarterly Executive
Read Chapters 2 and 3 in:
Business Information Systems (2015). Business Information Systems (2015). The Saylor Foundation. www.saylorbooks.com Creative Commons Book.
Chen, Hong-Mei, Schütz, Roland, Kazman, Rick, & Matthes, Florian (2017). How Lufthnsa capitalized on big data for business model renovation. MIS Quarterly Executive, 16(1), 19-34. How to Find MIS Quarterly Executive
Introduction to Computer Information Systems/Information Systems, Creative Commons license. Section 2. https://en.wikibooks.org/wiki/Introduction_to_Computer_Information_Systems
Ives, Blake, Palese, Biagio, & Rodriguez, Joaquin A. (2016). Enhancing customer service through the Internet of Things and digital data streams. MIS Quarterly Executive, 15(4), 279-297. How to Find MIS Quarterly Executive
Maring, Kristen. E (2015) Ethical issues in the big data industry. MIS Quarterly Executive, 14(2), 67-85. How to Find MIS Quarterly Executive
Mehrabani, Afshin (2014). Mongo: DB high availability: Design and implement a highly available server using the latest features of MondoDB. Birmingham, UK: Packt Publishing. Available in the Trident Online Library.
Read Chapter 8 in: Pearlson, K.E. and Saunders, C.S. (2010). Managing and using information systems: A strategic approach. John Wiley & Sons. .
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Move to e-commerce long overdue by US Secretary of State offices. The era of electronic filing has been with us now for twenty years. The world’s first fully electronic online business register emerged in New Zealand back in 1996. Since then, many uniform laws have been drafted in the U.S. to encourage the use of online record submissions and searching.
This white paper sets out the reasons for government to adopt contemporary technology solutions to deliver electronic registries.
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Winning Warehouse and Distribtuion Center Projects with Data
1. American Railway Development Association
THE ARDA NEWSLETTER January 2017
Economic Development Section Feature
Winning Warehouse & Distribution Center Projects with Data
Calandra Cruickshank
CEO, StateBook International
Teresa Nortillo
VP of Business Development and Consulting, StateBook International
Jeff Beliveau
Chief Economist, StateBook International
INTRODUCTION
2017 is projected to be the eighth consecutive year for U.S. economic growth, however sluggish. Certain
commodities, such as lumber and grains transported by rail, are poised to grow more than others as we
see bright spots in the housing and agriculture markets. Additionally, ecommerce continue to drive
intermodal and rail traffic as consumers increasingly move away from “brick and mortar” shopping to
online retail. As a result, the market is seeing an increasing demand for warehouse and distribution space.
As the market for distribution space tightens in the major rail hubs, the second tier market is becoming
more attractive as cheaper land and lower wages allow for more robust operating margins. Areas such
as Memphis, Kansas City and St. Louis are all home to intermodal and rail yards and are seeing significant
growth in rail property development.
LEVELING THE PLAYING FIELD
The question then, considering the plethora of location options, is how to determine the best location for
a facility considering the company’s specific needs. Many location factors must be determined before a
thorough site location analysis can be performed. Figure 1 (next page) outlines an example site location
process for a warehouse/distribution facility, including the top site location factors for which data should
be collected and analyzed. Fortunately, with today’s online data analytics capabilities, the site location
process has become easier and faster than ever.
2. Figure 1 – StateBook International, 2017
Save Time & Cost
The warehouse/distribution site location process, as outlined in Figure 1, details the data necessary to
determine a best-fit location. StateBook International provides data companies need to help make their
location decisions. StateBook’s platform aggregates more than 63,000 site location data points from
across over 50 trusted data sources and standardizes them by county. Companies can use StateBook’s
data to compare communities’ data and create customized reports in the time it takes to push a button,
often saving weeks or months of research.
As was shown in Figure 1, the number one pain point associated with operating a warehouse distribution
facility is labor, both cost and availability. StateBook International provides labor data and the ability to
compare labor availability and cost simultaneously across multiple locations. Figure 2 shows labor
availability and wages in the counties where second-tier rail markets are growing: Memphis, TN (Shelby
County), Kansas City, KS (Johnson County) and St. Louis, MO (St. Louis County). This analysis was done in
a matter of minutes.
Figure 2 – StateBook International, 2017
3. In addition to labor data, StateBook provides multiple additional datasets needed to site a warehouse or
distribution facility such as:
• Education statistics and workforce training programs
• Supply chain
• Transportation routes - interstate highways
• Quality of life
• Sites and buildings
• Incentive data
StateBook has the capability to compare this additional data against the three or more locations as
illustrated in Figure 3 below.
Figure 3 – StateBook International, 2017
Reports created on StateBook can then be printed as a PDF or exported to an Excel file for further
manipulation. This site location data analysis feature on StateBook significantly decreases research time
and costs, freeing research teams up to use and analyze data rather than obtaining, manipulating and
updating data.
Competitive Positioning
The democratization of site location data also levels the playing field for rail locations competing for
projects and facilities. Using StateBook, they can show labor availability and wages, real estate costs and
other cost factors in comparison to the major logistics locations.
Figure 4 (next page) shows the labor and wage comparisons of the Memphis, (Shelby County) area against
the Chicago (Cook County) and LA (Los Angeles County) markets. This matrix shows that there is more
available transportation and material handlers per capita in the Memphis area in comparison to Chicago
and LA. Additionally, the wages for transportation and material handlers are lower in the Memphis area
than in Chicago. These two factors indicate a lower-cost location for a warehouse/distribution facility.
Having this data at their fingertips increases the second-tier rail location’s ability to respond more quickly
to RFIs and site consultants.
4. Figure 4 – StateBook International, 2017
PROMOTE RAIL SERVICES & AVAILABLE PROPERTIES
Additionally, StateBook provides a microsite for every economic development organization (EDO) in the
United States. Rail companies can work with their EDOs in a variety of ways to promote their services to
companies seeking locations and to help market the communities they serve on StateBook. Specifically,
rail companies can help sponsor StateBook microsites for the communities they serve, earning a dynamic,
digital advertisement on each sponsored EDO’s microsite. They also can collaborate with their EDOs to
ensure that rail, logistical and infrastructure information pertinent to site location decisions is accurately
included on the EDOs’ microsites. This information can make or break whether a community wins a
warehouse or distribution center project.
Rail companies also often own property along their rail lines that can be developed for economic
development projects requiring rail. Companies and site selectors using StateBook data to research and
compare communities regularly look for properties on the platform. Rail companies can promote their
available properties on the platform by either submitting them to their local EDO to put up for free or by
taking out a paid advertisement on StateBook.
TRANSPORTATION DATA
StateBook currently provides the following transportation data:
• Commuting
Commute travel time to work
Commute by modes
Distance to the nearest airport
• Infrastructure
Rail
5. o Class I, II and III rail
o Rail line ownership
o Double stack capability
o Intermodal capability
Airports
o Passenger count, freight volume, mail volume, name, location, runway length
Water Port
o Domestic and foreign volume through that port
o Post-Panamax readiness
StateBook continues to regularly add data to its platform. Watch for new and more detailed
transportation data and interactive mapping features coming soon.
CONCLUSION
The classic real estate mantra of “location, location, location” still holds true, but with database platforms
like StateBook, the ability to market competitive positions for warehouse/distribution facilities is easier,
faster and more precise than before. Additional information on StateBook can be found at
https://www.statebook.com/.