Non-Motorized Traffic Exploratory Analysis
|
|
- Dortha Gibbs
- 6 years ago
- Views:
Transcription
1 Non-Motorized Traffic Exploratory Analysis Chao Wu Advisor: Professor Greg Lindsey Humphrey School of Public Affairs University of Minnesota April 28, 2014
2 Abstract In 2012, Minnesota Department of Transportation (MnDOT) implemented the Minnesota Bicycle and Pedestrian Counting Initiative, a non-motorized transportation (bicycle and pedestrian) count project. A voluntary statewide count was repeated in spring 2013, and fall Between September 10 th, 2013 and September 19 th, 2013, 14 communities conducted counts in their municipalities using a standard count form provided by MnDOT. Counting from September 2013 has been analyzed in the report. The first objective of the report is to summarize results of non-motorized traffic counts. In addition, the second objective of the report is to explore potential relationship between the non-motorized counts and several dependent variables as followed: Anural average daily traffic (AADT) counts Population density Median household income Education Unemployment rate City class
3 Introduction Nowadays, there are more and more pressures for government to encourage and foster both recreational and utilitarian non-motorized transportation. It becomes more and more important to understand non-motorized transportation patterns. Understanding how does bicycle and pedestrian volume react with the factors listed above is important for the planning and management of non-motorized transportation. Understand these relationships are important because it could prioritize the investments, and help to make more efficient investments. (Lonetta, Angela, Jenny, Jason, 2013). The following report is divided into five parts. First of all, the background part will introduce the data collecting method, and provide summary results by municipality. Followed by that, the methodology part will introduce how the assumptions have been made. Then, during the techniques part, different methods will be introduced. Followed by that, the results part will present the major findings of the research. In addition, conclusion and recommendation will be presented to discuss the possible outcomes. In the end, appendix A through X will summarize count for each municipality. Background In September 2013, 14 Minnesota communities completed hours of short-term manual bicycle and pedestrian counts at 55 locations during peak weekday and peak weekend traffic hours, following MnDOT procedures. Participating communities
4 included International Falls, Carltons, Grand Rapids, La Prairie, Coleraine, St. Cloud, St. Joseph, Sartell, Sauk Rapids, Waite Park, Fargo, Moorhead, West Fargo, and Dilworth. However, Fargo, and West Fargo are excluded in the following analysis due to insufficient AADT information. Table 1 below summarizes community counts by city size, number of locations monitored, and total hours of counts. Minnesota divides their cities into four classes. Class 4 city has population of 10,000 or less, class 3 city has population from 10,000 to 20,000, class 2 city has population from 20,000 to 100,000, and class 1 city has population over 100,000. Since this report focuses on cities of Minnesota, so Fargo, and West Fargo are excluded during the analysis. Six communities, or 43%, counted in only one location. Also, MnDOT encouraged communities to count on Tuesdays, Wednesdays, and Thursdays in September during evening peak hours, especially from 4:00PM to 6:00PM. Counting on Saturdays and/or other times identified as providing value to local initiatives were also encouraged. In the end, last two columns showed average bike count and average pedestrian count for each municipality.
5 Table 1: Location and Hours Counted in Minnesota/North Dakota Municipalities Class Population Number of Total Mean Hourly Mean Hourly Locations Hours Bike Count Pedestrian Count International Falls Carltons Grand Rapids La Prairie Coleraine St. Cloud St. Joseph Sartell Sauk Rapids Waite Park Fargo Moorhead West Fargo Dilworth In addition, Appendix A through L showed a detailed count for each municipality. It included brief background information for each municipality, a summary of average bikes and pedestrian count of all sites in each municipality, a conclusion of maximum bikes and pedestrians count per hour of all sites in each municipality. Also, tables of each count location and graphs of each count location attached at end of each Appendix. Methodology for Exploratory Analysis Table 2 below included dependent variables, independent variables and assumption of how independent variables and dependent variables correlated with each other.
6 Table 2: Dependent Variables vs. Independent Variables Dependent variables Independent variables Assumption Bicycle counts Average Annual Daily Traffic Positively (AADT) correlated Pedestrian counts Population Density Positively correlated Median household income Positively correlated Education Positively correlated Unemployment rate Positively correlated Job Density Positively correlated City Class Positively correlated In terms of dependent variables, bicycle counts and pedestrian counts are targeted dependent variables. In terms of independent variables, there are Average Annual Daily Traffic (AADT), population density, median household income, education, unemployment rate, job density and city class. The assumption was that all independent variables were positively correlated with dependent variables. It means if there is an increase of independent variable, there is an increase of dependent variable. Techniques Generating Hourly Vehicular AADT The following part will discuss two different methods been used in the analysis. The method is to reverse extrapolate of AADT into a two-hour traffic count. Since the AADT
7 data from MnDOT website is the average daily count, but we only have a two hour count for bicycle and pedestrian. The initial thought was to extrapolate two-hour count into daily counts; then daily counts to weekly counts; finally to and annual daily traffic count. Since we have limited non-motorized adjustment factor, the new approach is to reverse extrapolate AADT into a 2-hour short duration count. MnDOT has provided an AADT factor for weekdays and weekends in September. With this factor, it is possible to reverse extrapolate AADT counts into September daily counts. In terms of hours of day factor, MnDOT provided a spreadsheet that has automatic traffic recorder (ATF) information (MnDOT, 2013). The ATF report has 230 randomly picked roads in Minnesota with every hour traffic count throughout Among all roads information, five random selected roads have been chosen. Then calculate the average hours of day factor. In this way, we will able to match motorized traffic with non-motorized traffic. Generating Census Related Variables The second methodology is to use 2010 census data on other dependent variables at block group level. Considering access distance between bicycles and pedestrians are different, 1 mile buffer or access zone was created for bicycles, and 1/2 mile buffer or access zone was created for pedestrians. Within the buffer zone, 2010 data for median household income, education level, employment distribution, and population were generated from Census Bureau. In order to create the buffer zones, GIS maps with road names are used from Census Bureau website. First of all, buffer the count location by 0.5 mile and 1 mile
8 respectively. Then clip the block group information into each buffer zone. In addition, information about median household income, education level, employment distribution, and population are also found from Census Bureau website. After clip the block group, manually match the above data coordinated with block group numbers. Results The following part will show several multiple regressions analysis. There are two sets of data are been analyzed. The first set of data has 19 observations without AADT. The second set of data has 11 observations with AADT. The reason is that MnDOT only provides AADT for limited numbers of roads. In addition, since participated communities do not have class one city, the multiple regressions use class two city and class three city as oppose to class four city. During the analysis, we want the absolute value of t-value to be greater than 1.95 or 2.58 to be significant at confidence level of 95% and 99% respectively, meanwhile the absolute value of p-value to be smaller than 0.05 or 0.01 to be significant at confidence level of 95% and 99%. Table 1 below showed the multiple regressions for 0.5 Mile pedestrian count. Based on t-value, there is no independent variable showing significance. Similarly, in terms of p-value, there is also no independent variable showing significance. Also, the adjusted R square is as low as -0.03, it indicates all independent variables combine explaining 3% of the dependent variables.
9 Table 1: 0.5 Mile Pedestrian Count Coefficients Standard Error t Stat dp-value Intercept Population Density Median income College degree or higher Unemployment rate Jobs Density Class II Class III Adjusted R Square Observations Table 2 below showed the multiple regressions for 0.5-mile bicycle count. There is no significance of t-value, due to all t-values are smaller than Similarly, there is no significance of p-value, due to all p-values are greater than On the other hand, the adjusted R square indicates all independent variables combine explaining 25.8% of the dependent variables. Table 2: 0.5 Mile Bike Count Coefficients Standard Error t Stat P-value Intercept Population Density Median income College degree or higher Unemployment rate Jobs Density Class II Class III Adjusted R Square Observations 19.00
10 Table 3 below showed the multiple regressions for 1 Mile pedestrian count. According to the data, only unemployment rate is showing potential relationship with pedestrian count, due to higher t-value. However, in terms of p-value there is no dependent variables showing significance because all p-values are greater than In terms of adjusted R square, it indicates only 16% of dependent variables can be explained by independent variables. Table 3: 1 Mile Pedestrian Count Coefficients Standard Error t Stat P-value Intercept Population Density Median income College degree or higher Unemployment rate Jobs Density Class II Class III Adjusted R Square Observations 19 Table 4 below showed the multiple regression for 1 Mile bicycle count. According to the data, job density and city class are showing higher t-value but not enough to be significant. In terms of p-value, there is no significance showing due to no smaller than 0.05 p-values. In terms of adjusted R square value, it indicates all independent variables combine explaining 14% of the dependent variables.
11 Table 4: 1Mile Bike Count Coefficients Standard Error t Stat P-value Intercept Population Density Median income College degree or higher Unemployment rate Jobs Density Class II Class III Adjusted R Square Observations Summary of Modeling Results According to the results above, there is no single dependent variable showing significant relationship with independent variables. However, it seems only population density; job density and city class are showing significance during the analysis. The following multiple regressions will only use the above dependent variables and exclude the rest. Table 5 below showed the multiple regressions for 0.5 Mile pedestrian count. According to the data, population density and job density are showing significant t-value. In terms of p-value, both population density and job density are showing a small p-value. In terms of adjusted R square value, it indicates all independent variables combine explaining 14.85% of the dependent variables. Even though population density and job density are showing significance, but it is difficult to determine whether those dependent variables correlate
12 with each other or they both correlate with pedestrian count. As can be seen in table 6, a correlation analysis is presented. According to the table, job density and population density are showing the highest correlation number, which is It means denser the area is more jobs there will be. Also, population density and job density are also showing relative high correlation with city class. It indicates larger city is intent to have denser population and more jobs. However, all dependent variables are showing less correlation with pedestrian count. To sum up, the tables above reflect land use pattern more than anything else. There is no significant evidence showing pedestrian and bicycle counts are correlated with those dependent variables. Table 5: 0.5 Mile Pedestrian Count Redo Coefficients Standard Error t Stat P-value Intercept Population Density Job Density Class II Class III Adjusted R Square Observations 19
13 Table 6: 0.5 Mile Pedestrian Count Redo Ped Count Population Density Jobs Density Class II Class III Ped Count Population Density Jobs Density Class II Class III Conclusion According to results above, there are no significant relationship between dependent variables and independent variables. There are several reasons causing those results: Too few observations Other independent variables o Time of day o Weather Randomness Location There are too few observations causing data extremely unstable. In addition, there are other independent variables. For example, different communities recorded on different time of day. Also, normally, we expect to see more bicycles and pedestrian during morning or evening. Similarly non-motorized traffic is heavily relying on the weather. More pedestrians and bikes are expected during good weather days. Furthermore, non-motorized traffic has a large proportion of randomness. For example, some bicycle
14 users occasionally use bikes to exercise. There is only a small portion of the users use bike as a transportation tool. Last but not least, location is one of the most important issues. For example, more pedestrians and bikes are expected in locations such as schools or trails. Similarly, almost no pedestrians or bikes are expected near highway intersections. In addition, Suggestion Based on the analysis above, even though the figures show a less relative correlation, a few recommendations are also provided. First of all, MnDOT should continue to encourage communities to participate in annual statewide bicycle and pedestrian counts. More counts will provide more adequate local non-motorized transportation patterns. Communities should be encouraged to complete several counts at each location in order to develop patterns for more thorough analysis. In addition, the analysis results would be better if each location is organized by the street type. Also, recording the weather is also important in order to avoid any useless data.
15 Reference 1. "Minnesota Department of Transportation." / MnDOT.gov. N.p., n.d. Web. 28 Apr Hanson, Lonetta, Angela Laird, Jenny Monson-Miller, and Jason Radde. "MnDOT Report." (2013): n. pag. Web. 3. "Welcome to an Engaged Community." International Falls, MN. N.p., n.d. Web. 28 Apr "City Of Carlton." City Of Carlton. N.p., n.d. Web. 28 Apr "Grand Rapids Herald-Review." Grand Rapids Herald-Review. N.p., n.d. Web. 28 Apr "City of Coleraine; Recreation, History & Attractions in Minnesota." City of Coleraine; Recreation, History & Attractions in Minnesota. N.p., n.d. Web. 28 Apr "Welcome to an Engaged Community." St. Cloud, MN. N.p., n.d. Web. 28 Apr "Sauk Rapids." Sauk Rapids. N.p., n.d. Web. 28 Apr "Welcome to an Engaged Community." St. Joseph, MN. N.p., n.d. Web. 28 Apr "City of Moorhead : Home." City of Moorhead : Home. N.p., n.d. Web. 28 Apr "Dilworth, MN." Dilworth, MN. N.p., n.d. Web. 28 Apr "Census Bureau Homepage." Census Bureau Homepage. N.p., n.d. Web. 26 Apr
Understanding Land Use and Walk Behavior in Utah
Understanding Land Use and Walk Behavior in Utah 15 th TRB National Transportation Planning Applications Conference Callie New GIS Analyst + Planner STUDY AREA STUDY AREA 11 statistical areas (2010 census)
More information2014 Data Collection Project ITE Western District
2014 Data Collection Project ITE Western District Project Completed By: Oregon State University OSU ITE Student Chapter 101 Kearney Hall Corvallis, OR 97331 Student Coordinator: Sarah McCrea (OSU ITE Student
More informationProject Appraisal Guidelines
Project Appraisal Guidelines Unit 16.2 Expansion Factors for Short Period Traffic Counts August 2012 Project Appraisal Guidelines Unit 16.2 Expansion Factors for Short Period Traffic Counts Version Date
More informationWOODRUFF ROAD CORRIDOR ORIGIN-DESTINATION ANALYSIS
2018 WOODRUFF ROAD CORRIDOR ORIGIN-DESTINATION ANALYSIS Introduction Woodruff Road is the main road to and through the commercial area in Greenville, South Carolina. Businesses along the corridor have
More informationTechnical Memorandum #2 Future Conditions
Technical Memorandum #2 Future Conditions To: Dan Farnsworth Transportation Planner Fargo-Moorhead Metro Council of Governments From: Rick Gunderson, PE Josh Hinds PE, PTOE Houston Engineering, Inc. Subject:
More informationOptimization of Short-Term Traffic Count Plan to Improve AADT Estimation Error
International Journal Of Engineering Research And Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 13, Issue 10 (October 2017), PP.71-79 Optimization of Short-Term Traffic Count Plan
More informationMADISON, WI STONE HOUSE DEVELOPMENT 1000 E. WASHINGTON AVENUE REDEVELOPMENT TRANSPORTATION STUDY DECEMBER 14, 2015
MADISON, WI STONE HOUSE DEVELOPMENT 1000 E. WASHINGTON AVENUE REDEVELOPMENT TRANSPORTATION STUDY DECEMBER 14, 2015 TABLE OF CONTENTS... 3 Proposed Development... 3 Methodology... 3 Phase 1 Development...
More informationNeighborhood Locations and Amenities
University of Maryland School of Architecture, Planning and Preservation Fall, 2014 Neighborhood Locations and Amenities Authors: Cole Greene Jacob Johnson Maha Tariq Under the Supervision of: Dr. Chao
More informationTrip Generation Study: A 7-Eleven Gas Station with a Convenience Store Land Use Code: 945
Trip Generation Study: A 7-Eleven Gas Station with a Convenience Store Land Use Code: 945 Introduction The Brigham Young University Institute of Transportation Engineers student chapter (BYU ITE) completed
More informationTrip and Parking Generation Study of Orem Fitness Center-Abstract
Trip and Parking Generation Study of Orem Fitness Center-Abstract The Brigham Young University Institute of Transportation Engineers student chapter (BYU ITE) completed a trip and parking generation study
More informationTraffic Impact Study
Traffic Impact Study Statham DRI One University Parkway Prepared for: Barrow County Prepared by: October 2012 Table of Contents Executive Summary i Section 1. Introduction 1 Project Description 1 Methodology
More informationSusan Clark NRS 509 Nov. 29, 2005
Susan Clark NRS 509 Nov. 29, 2005 The original intent of this project was to look at the role of GIS in the inventory of bicycle and pedestrian facilities. The research, however, indicates a different
More informationMEMORANDUM. The study area of the analysis was discussed with City staff and includes the following intersections:
MEMORANDUM DATE: JULY 6, 2012 TO: FROM: RE: CC: MELANIE KNIGHT BRAD BYVELDS/ JENNIFER LUONG 1050 SOMERSET STREET PRELIMINARY TRAFFIC ANALYSIS OUR FILE NO. 111152 NEIL MALHOTRA The purpose of this memo
More informationSouthwest Light Rail Transit Bicycle Facility Assessment Technical Memorandum #3 Prioritization. July 23, P age
Southwest Light Rail Transit Bicycle Facility Assessment Technical Memorandum 3 Prioritization July 23, 2015 1 P age Contents Introduction... 3 Project Definition... 3 Prioritization Criteria and Data
More informationCalifornia Urban Infill Trip Generation Study. Jim Daisa, P.E.
California Urban Infill Trip Generation Study Jim Daisa, P.E. What We Did in the Study Develop trip generation rates for land uses in urban areas of California Establish a California urban land use trip
More informationComplete Bicycle Network Project Prioritization
6.3C BICYCLE STUDY PRIORITIES PAGE 6 Appendix C Complete Bicycle Network Project Prioritization This appendix provides a prioritized list of proposed bicycle facilities within each of the municipalities
More informationAppendix C Final Methods and Assumptions for Forecasting Traffic Volumes
Fairview Ave. and Main St. Improvements and Local Streets Plan Appendices Ada County Highway District Appendix C Final Methods and Assumptions for Forecasting Traffic Volumes January 3, 207 Appendices
More informationMapping Accessibility Over Time
Journal of Maps, 2006, 76-87 Mapping Accessibility Over Time AHMED EL-GENEIDY and DAVID LEVINSON University of Minnesota, 500 Pillsbury Drive S.E., Minneapolis, MN 55455, USA; geneidy@umn.edu (Received
More informationAppendix BAL Baltimore, Maryland 2003 Annual Report on Freeway Mobility and Reliability
(http://mobility.tamu.edu/mmp) Office of Operations, Federal Highway Administration Appendix BAL Baltimore, Maryland 2003 Annual Report on Freeway Mobility and Reliability This report is a supplement to:
More informationCommittee Meeting November 6, 2018
Committee Meeting November 6, 2018 Agenda Where we are in the process Land Use Plan Transportation Element Housing & Neighborhoods Elements Next Steps Schedule November 6: Plan Elements December: Plan
More informationAnalysis and Design of Urban Transportation Network for Pyi Gyi Ta Gon Township PHOO PWINT ZAN 1, DR. NILAR AYE 2
www.semargroup.org, www.ijsetr.com ISSN 2319-8885 Vol.03,Issue.10 May-2014, Pages:2058-2063 Analysis and Design of Urban Transportation Network for Pyi Gyi Ta Gon Township PHOO PWINT ZAN 1, DR. NILAR AYE
More informationFHWA Planning Data Resources: Census Data Planning Products (CTPP) HEPGIS Interactive Mapping Portal
FHWA Planning Data Resources: Census Data Planning Products (CTPP) HEPGIS Interactive Mapping Portal Jeremy Raw, P.E. FHWA, Office of Planning, Systems Planning and Analysis August 2017 Outline Census
More informationFigure 8.2a Variation of suburban character, transit access and pedestrian accessibility by TAZ label in the study area
Figure 8.2a Variation of suburban character, transit access and pedestrian accessibility by TAZ label in the study area Figure 8.2b Variation of suburban character, commercial residential balance and mix
More informationFHWA GIS Outreach Activities. Loveland, Colorado April 17, 2012
FHWA GIS Outreach Activities Loveland, Colorado April 17, 2012 GIS for Improved Decision Making FHWA believes that geographic information systems and other geospatial technologies (remote sensing and GPS)
More informationGIS Analysis of Crenshaw/LAX Line
PDD 631 Geographic Information Systems for Public Policy, Planning & Development GIS Analysis of Crenshaw/LAX Line Biying Zhao 6679361256 Professor Barry Waite and Bonnie Shrewsbury May 12 th, 2015 Introduction
More informationSpeed Limit Review. Montague Road, West End. Prepared for Brisbane City Council CEB06842 CEB06842
Speed Limit Review Montague Road, West End CEB06842 CEB06842 Prepared for Brisbane City Council 2 November 2016 Speed Limit Review Montague Road, West End Document Information Prepared for Brisbane City
More informationCity of Hermosa Beach Beach Access and Parking Study. Submitted by. 600 Wilshire Blvd., Suite 1050 Los Angeles, CA
City of Hermosa Beach Beach Access and Parking Study Submitted by 600 Wilshire Blvd., Suite 1050 Los Angeles, CA 90017 213.261.3050 January 2015 TABLE OF CONTENTS Introduction to the Beach Access and Parking
More informationGIS Technology and Tools for Long Range Transportation Planning in the National Park Service
GIS Technology and Tools for Long Range Transportation Planning in the National Park Service Geospatial Information Systems for Transportation Symposium Loveland, Colorado April 16, 2012 Nell Blodgett
More information3.0 ANALYSIS OF FUTURE TRANSPORTATION NEEDS
3.0 ANALYSIS OF FUTURE TRANSPORTATION NEEDS In order to better determine future roadway expansion and connectivity needs, future population growth and land development patterns were analyzed as part of
More informationParking Study MAIN ST
Parking Study This parking study was initiated to help understand parking supply and parking demand within Oneida City Center. The parking study was performed and analyzed by the Madison County Planning
More information3/21/2019. Q: What is this? What is in this area of the country? Q: So what is this? GEOG 3100 Next Week
Tuesday: Thursday: GEOG 3100 Next Week Discussion of The South region (in this room) GIS Computer Lab Time (ENV Building, Room 340 more on this in class on Tuesday next week) Ahead of this lab time, please
More informationDEVELOPING DECISION SUPPORT TOOLS FOR THE IMPLEMENTATION OF BICYCLE AND PEDESTRIAN SAFETY STRATEGIES
DEVELOPING DECISION SUPPORT TOOLS FOR THE IMPLEMENTATION OF BICYCLE AND PEDESTRIAN SAFETY STRATEGIES Deo Chimba, PhD., P.E., PTOE Associate Professor Civil Engineering Department Tennessee State University
More informationThe Effects of Weather on Urban Trail Use: A National Study
The Effects of Weather on Urban Trail Use: A National Study Alireza Ermagun, Tracy Haden-Loh, Greg Lindsey May 3, 2016 Rails to Trails Conservancy Trail Modeling and Assessment Platform Objectives Monitor
More informationBROOKINGS May
Appendix 1. Technical Methodology This study combines detailed data on transit systems, demographics, and employment to determine the accessibility of jobs via transit within and across the country s 100
More informationRECORD OF MEETING. Region Five Development Commission
SRF No. 0117586 RECORD OF MEETING Study Review Committee Meeting #2 Wednesday, April 4, 2012 3:00 P.M. - 5:30 P.M. Wadena Commission Chambers Members in Attendance: Representing: Jake Huebsch Region Five
More informationCLAREMONT MASTER PLAN 2017: LAND USE COMMUNITY INPUT
Planning and Development Department 14 North Street Claremont, New Hampshire 03743 Ph: (603) 542-7008 Fax: (603) 542-7033 Email: cityplanner@claremontnh.com www.claremontnh.com CLAREMONT MASTER PLAN 2017:
More informationNATHAN HALE HIGH SCHOOL PARKING AND TRAFFIC ANALYSIS. Table of Contents
Parking and Traffic Analysis Seattle, WA Prepared for: URS Corporation 1501 4th Avenue, Suite 1400 Seattle, WA 98101-1616 Prepared by: Mirai Transportation Planning & Engineering 11410 NE 122nd Way, Suite
More informationWEBER ROAD RESIDENTIAL DEVELOPMENT Single Family Residential Project
WEBER ROAD RESIDENTIAL DEVELOPMENT Single Family Residential Project WEBER ROAD RESIDENTIAL DEVELOPMENT TRAFFIC IMPACT STUDY TABLE OF CONTENTS 1.0 Executive Summary Page 2.0 Introduction 2.1 DEVELOPMENT
More informationHIRES 2017 Syllabus. Instructors:
HIRES 2017 Syllabus Instructors: Dr. Brian Vant-Hull: Steinman 185, 212-650-8514, brianvh@ce.ccny.cuny.edu Ms. Hannah Aizenman: NAC 7/311, 212-650-6295, haizenman@ccny.cuny.edu Dr. Tarendra Lakhankar:
More informationTransit Time Shed Analyzing Accessibility to Employment and Services
Transit Time Shed Analyzing Accessibility to Employment and Services presented by Ammar Naji, Liz Thompson and Abdulnaser Arafat Shimberg Center for Housing Studies at the University of Florida www.shimberg.ufl.edu
More informationHORIZON 2030: Land Use & Transportation November 2005
PROJECTS Land Use An important component of the Horizon transportation planning process involved reviewing the area s comprehensive land use plans to ensure consistency between them and the longrange transportation
More informationA Comparison of the Accessibility of Three Neighborhoods Institutions and Amenities in Frederick, MD
A Comparison of the Accessibility of Three Neighborhoods Institutions and Amenities in Frederick, MD Elizabeth Hampton Christopher Johansson Yana Demireva Albert Engel Table of Contents EXECUTIVE SUMMARY...
More informationSouth Western Region Travel Time Monitoring Program Congestion Management Process Spring 2008 Report
South Western Region Travel Monitoring Program Congestion Management Process Spring 2008 Report Prepared by: South Western Regional Planning Agency 888 Washington Boulevard Stamford, CT 06901 Telephone:
More informationAppendix B. Land Use and Traffic Modeling Documentation
Appendix B Land Use and Traffic Modeling Documentation Technical Memorandum Planning Level Traffic for Northridge Sub-Area Study Office of Statewide Planning and Research Modeling & Forecasting Section
More informationDown East RPO. Strategic Prioritization Office of Transportation Local Input Point Assignment Methodology. Introduction
Down East RPO Introduction Strategic Prioritization Office of Transportation Local Input Point Assignment Methodology The Down East Rural Planning Organization (DERPO) is required by state law to develop
More informationPALS: Neighborhood Identification, City of Frederick, Maryland. David Boston Razia Choudhry Chris Davis Under the supervision of Chao Liu
PALS: Neighborhood Identification, City of Frederick, Maryland David Boston Razia Choudhry Chris Davis Under the supervision of Chao Liu University of Maryland School of Architecture, Planning & Preservation
More informationFDOT Level 2 Roundabout b/c Evaluation
FDOT Level 2 Roundabout b/c Evaluation This spreadsheet tool compares the cost of a roundabout to the cost of a traditional intersection, as specified by the user. A traditional intersection is defined
More informationKeywords: Air Quality, Environmental Justice, Vehicle Emissions, Public Health, Monitoring Network
NOTICE: this is the author s version of a work that was accepted for publication in Transportation Research Part D: Transport and Environment. Changes resulting from the publishing process, such as peer
More informationNSP Electric - Minnesota Annual Report Peak Demand and Annual Electric Consumption Forecast
Page 1 of 5 7610.0320 - Forecast Methodology NSP Electric - Minnesota Annual Report Peak Demand and Annual Electric Consumption Forecast OVERALL METHODOLOGICAL FRAMEWORK Xcel Energy prepared its forecast
More informationPalmerston North Area Traffic Model
Palmerston North Area Traffic Model Presentation to IPWEA 7 November 2014 PNATM Presentation Overview Model Scope and type Data collected The model Forecasting inputs Applications PNCC Aims and Objectives
More informationImpact of Day-to-Day Variability of Peak Hour Volumes on Signalized Intersection Performance
Impact of Day-to-Day Variability of Peak Hour Volumes on Signalized Intersection Performance Bruce Hellinga, PhD, PEng Associate Professor (Corresponding Author) Department of Civil and Environmental Engineering,
More information2012 FLOODS AND DEBRIS REMOVAL
2012 FLOODS AND DEBRIS REMOVAL June 2012 2012 Floods Tuesday, June 19 AFTERNOON Severe thunderstorms roll across much of the Northland, dropping hail and an initial round of heavy rain in many areas, including
More informationCALOTS Upgrade for Performance Monitoring
CALOTS Upgrade for Performance Monitoring A project of the Southern California Association of Governments supported by the UCLA Lewis Center for Regional Policy Studies Agenda 1. Revisit Project Overview
More informationStanCOG Transportation Model Program. General Summary
StanCOG Transportation Model Program Adopted By the StanCOG Policy Board March 17, 2010 What are Transportation Models? General Summary Transportation Models are technical planning and decision support
More informationRE: Existing and Future Parking Demand Analysis St. Joseph Center Expansion
HAND DELIVERED December 12, 2003 Mr. James S. Bancroft Chair, Board of Directors St. Joseph Center 204 Hampton Drive Venice, California 90291-8633 RE: Existing and Future Parking Demand Analysis St. Joseph
More informationADVENTURES IN THE FLIPPED CLASSROOM FOR INTRODUCTORY
ADVENTURES IN THE FLIPPED CLASSROOM FOR INTRODUCTORY A M Y N U S S B A U M A N D M O N N I E M C G E E STATISTICS S R C O S J U N E 5, 2 0 1 3 Amy Nussbaum and Monnie McGee SRCOS, June 5, 2013 FLIPPED
More informationProposed Scope of Work Village of Farmingdale Downtown Farmingdale BOA Step 2 BOA Nomination Study / Draft Generic Environmental Impact Statement
Proposed Scope of Work Village of Farmingdale Downtown Farmingdale BOA Step 2 BOA Nomination Study / Draft Generic Environmental Impact Statement The scope of work that follows incorporates and covers
More informationEncapsulating Urban Traffic Rhythms into Road Networks
Encapsulating Urban Traffic Rhythms into Road Networks Junjie Wang +, Dong Wei +, Kun He, Hang Gong, Pu Wang * School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan,
More informationCITY OF NEW LONDON WINTER ROAD & SIDEWALK MAINTENANCE POLICY
CITY OF NEW LONDON WINTER ROAD & SIDEWALK MAINTENANCE POLICY GENERAL The purpose of this policy is to set up acceptable procedures and policies for the winter maintenance of public areas in the City of
More informationAnnual Collision Report
2016 Annual Collision Report Contents The Annual Collision Report is a summary of statistics associated with traffic collisions that occurred in the City of Winnipeg. This information is provided by Manitoba
More informationAdvancing Transportation Performance Management and Metrics with Census Data
Advancing Transportation Performance Management and Metrics with Census Data Authors: Ivana Tasic, University of Utah, Department of Civil and Environmental Engineering, 110 Central Campus Drive, Salt
More informationMontmorency County Traffic Crash Data & Year Trends. Reporting Criteria
June 2017 Revised 10/3/17 2016 Reporting Criteria Please pay particular attention to the wording when interpreting the three levels of data gathered for this report. Crash The Crash Level analyzes data
More informationI. M. Schoeman North West University, South Africa. Abstract
Urban Transport XX 607 Land use and transportation integration within the greater area of the North West University (Potchefstroom Campus), South Africa: problems, prospects and solutions I. M. Schoeman
More informationADAPTIVE SIGNAL CONTROL IV
ADAPTIVE SIGNAL CONTROL IV Evaluation of the Adaptive Traffic Control System in Park City, Utah Dr. Peter T. Martin Associate Professor Aleksandar Stevanovic Research Associate Ivana Vladisavljevic Research
More informationChao Liu, Ting Ma, and Sevgi Erdogan National Center for Smart Growth Research & Education (NCSG) University of Maryland, College Park
Chao Liu, Ting Ma, and Sevgi Erdogan National Center for Smart Growth Research & Education (NCSG) University of Maryland, College Park 2015 GIS in Transit, September 1-3, 2015 Shared-use Vehicle Services
More information2129 NORTH MAIN STREET HOTE PROJECT ULI SHARED PARKING STUDY City of Santa Ana, California
2129 NORTH MAIN STREET HOTE PROJECT ULI SHARED PARKING STUDY City of Santa Ana, California Prepared for: NET DEVELOPMENT COMPANY 3130 Airway Avenue Costa Mesa, CA 92626 Prepared by: RK ENGINEERING GROUP,
More informationRegional Performance Measures
G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to
More informationCost-Benefit Analysis of the Pooled- Fund Maintenance Decision Support System: Case Study
Cost-Benefit Analysis of the Pooled- Fund Maintenance Decision Support System: Case Study Zhirui Ye (WTI) Xianming Shi (WTI) Christopher K. Strong (City of Oshkosh) 12 th AASHTO-TRB TRB Maintenance Management
More informationAn Assessment of People, Place and Business on Syracuse s Near Northside
An Assessment of People, Place and Business on Syracuse s Near Northside May 2013 Report produced by Jon Glass, Kelly Montague and Mark Pawliw Edited by Jon Glass and Jonnell Robinson Syracuse Community
More informationRegional Performance Measures
G Performance Measures Regional Performance Measures Introduction This appendix highlights the performance of the MTP/SCS for 2035. The performance of the Revenue Constrained network also is compared to
More informationDouglas County/Carson City Travel Demand Model
Douglas County/Carson City Travel Demand Model FINAL REPORT Nevada Department of Transportation Douglas County Prepared by Parsons May 2007 May 2007 CONTENTS 1. INTRODUCTION... 1 2. DEMOGRAPHIC INFORMATION...
More informationThe I-81 Challenge: Study update and overview of travel demand model CNY Engineering Expo November 12, 2012
The I-81 Challenge: Study update and overview of travel demand model CNY Engineering Expo November 12, 2012 Presented by: Meghan Vitale, SMTC Jason Deshaies, SMTC Presentation overview Part 1: Overview
More informationMINNESOTA DEPARTMENT OF TRANSPORTATION Engineering Services Division Technical Memorandum No MAT-02 October 7, 2014
MINNESOTA DEPARTMENT OF TRANSPORTATION Engineering Services Division Technical Memorandum No. 14-10-MAT-02 To: From: Subject: Electronic Distribution Recipients Jon M. Chiglo, P.E. Division Director, Engineering
More informationAssessing spatial distribution and variability of destinations in inner-city Sydney from travel diary and smartphone location data
Assessing spatial distribution and variability of destinations in inner-city Sydney from travel diary and smartphone location data Richard B. Ellison 1, Adrian B. Ellison 1 and Stephen P. Greaves 1 1 Institute
More informationLocal Economic Activity Around Rapid Transit Stations
Local Economic Activity Around Rapid Transit Stations The Case of Chicago s Orange Line Julie Cooper, MPP 2014 Harris School of Public Policy Transport Chicago June 6, 2014 Motivation Impacts of transit
More informationA Socioeconomic Analysis of the Spatial Distribution of Fire Hydrants. History of Portland Fire Hydrants
A Socioeconomic Analysis of the Spatial Distribution of Fire Hydrants By Dylan Carmody Robert Chappell Jana Tracy Allan McMillian 2003 History of Portland Fire Hydrants The first fire hydrant was installed
More informationQUANTIFICATION OF THE NATURAL VARIATION IN TRAFFIC FLOW ON SELECTED NATIONAL ROADS IN SOUTH AFRICA
QUANTIFICATION OF THE NATURAL VARIATION IN TRAFFIC FLOW ON SELECTED NATIONAL ROADS IN SOUTH AFRICA F DE JONGH and M BRUWER* AECOM, Waterside Place, Tygerwaterfront, Carl Cronje Drive, Cape Town, South
More informationUsing Tourism-Based Travel Demand Model to Estimate Traffic Volumes on Low-Volume Roads
International Journal of Traffic and Transportation Engineering 2018, 7(4): 71-77 DOI: 10.5923/j.ijtte.20180704.01 Using Tourism-Based Travel Demand Model to Estimate Traffic Volumes on Low-Volume Roads
More informationH. R heading to fund the award and oversight by the Administrator of grants made under this heading. FEDERAL HIGHWAY ADMINISTRATION
H. R. 1 92 heading to fund the award and oversight by the Administrator of grants made under this heading. FEDERAL HIGHWAY ADMINISTRATION HIGHWAY INFRASTRUCTURE INVESTMENT For an additional amount for
More informationKeywords: Travel Behavior; Transportation Finance; Global Positioning Systems (GPS)
0 0 0 How Local is Travel? Michael Scharenbroich Humphrey Institute of Public Affairs University of Minnesota 0 th Ave. S Minneapolis, MN scha0@umn.edu Michael Iacono* Department of Civil Engineering University
More informationHow ACS Data Can Make Smart Cities Even Smarter: A method for combining bike sensor data with ACS demographic data Peter Viechnicki, Deloitte Center
How ACS Data Can Make Smart Cities Even Smarter: A method for combining bike sensor data with ACS demographic data Peter Viechnicki, Deloitte Center for Government Insights, 12 May 2017 pviechnicki@deloitte.com,
More information2015 Grand Forks East Grand Forks TDM
GRAND FORKS EAST GRAND FORKS 2015 TRAVEL DEMAND MODEL UPDATE DRAFT REPORT To the Grand Forks East Grand Forks MPO October 2017 Diomo Motuba, PhD & Muhammad Asif Khan (PhD Candidate) Advanced Traffic Analysis
More information5.1 Introduction. 5.2 Data Collection
Chapter 5 Traffic Analysis 5.1 Introduction This chapter of the EIS assesses the traffic impacts of the proposed N5 Westport to Turlough Road Project (the proposed scheme). The proposed scheme will provide
More informationStatus Report: Ongoing review of O-D cellular data for the TPB modeled area
Item #4 Status Report: Ongoing review of O-D cellular data for the TPB modeled area Presentation to the Travel Forecasting Subcommittee September 19, 2014 Ronald Milone, COG/TPB staff National Capital
More informationAPPENDIX C-6 - TRAFFIC MODELING REPORT, SRF CONSULTING GROUP
APPENDIX C-6 - TRAFFIC MODELING REPORT, SRF CONSULTING GROUP Scott County 2030 Comprehensive Plan Update Appendix C Scott County Traffic Model Final Report and Documentation March 2008 Prepared for: Scott
More informationCrow River Plaza - Retail Development South Diamond Lake Rd. Rogers, MN FOR LEASE 1,024 SF Retail Space. Lease Rate: $16.
FEATURES: - Available in Rogers, MN Lease Rate: $16.00 / psf NNN - Excellent location with freeway signage on I-94! - Near large retailers such as Target, Kohls, & Applebees. Taxes $3.65 / psf Cam $3.20
More informationNEW YORK DEPARTMENT OF SANITATION. Spatial Analysis of Complaints
NEW YORK DEPARTMENT OF SANITATION Spatial Analysis of Complaints Spatial Information Design Lab Columbia University Graduate School of Architecture, Planning and Preservation November 2007 Title New York
More informationSpatial Variation in Local Road Pedestrian and Bicycle Crashes
2015 Esri International User Conference July 20 24, 2015 San Diego, California Spatial Variation in Local Road Pedestrian and Bicycle Crashes Musinguzi, Abram, Graduate Research Assistant Chimba,Deo, PhD.,
More informationMarket Street PDP. Nassau County, Florida. Transportation Impact Analysis. VHB/Vanasse Hangen Brustlin, Inc. Nassau County Growth Management
Transportation Impact Analysis Market Street PDP Nassau County, Florida Submitted to Nassau County Growth Management Prepared for TerraPointe Services, Inc. Prepared by VHB/Vanasse Hangen Brustlin, Inc.
More informationBicycle and Pedestrian Count Program 2018 Annual Report (Year 5) July 2018
Bicycle and estrian Count Program July 2018 This report marks the fifth year of Columbia s annual Bicycle and estrian Count Program. Columbia Association (CA) recruited and coordinated volunteers to perform
More informationMonroe County: Key West and Lower Keys
FDOT PROJECT UPDATES June 15-21, 2015 Monroe County: Key West and Lower Keys Monroe County projects website: www.fdotmonroe.com Opt Out: If you no longer wish to receive these weekly notifications, please
More informationDeveloping the Transit Demand Index (TDI) Gregory Newmark, Regional Transportation Authority Transport Chicago Presentation July 25, 2012
Developing the Transit Demand Index (TDI) Gregory Newmark, Regional Transportation Authority Transport Chicago Presentation July 25, 2012 Outline Present RTA methodology Transit Demand Index (TDI) Demonstrate
More informationHennepin GIS. Tree Planting Priority Areas - Analysis Methodology. GIS Services April 2018 GOAL:
Hennepin GIS GIS Services April 2018 Tree Planting Priority Areas - Analysis Methodology GOAL: To create a GIS data layer that will aid Hennepin County Environment & Energy staff in determining where to
More informationTRAFFIC FORECAST METHODOLOGY
CHAPTER 5 TRAFFIC FORECAST METHODOLOGY Introduction Need for County-Level Traffic Forecasting 2030 HC-TSP Model Methodology Model Calibration Future Traffic Forecasts Hennepin County Transportation Systems
More informationFocused Traffic Analysis for the One Lincoln Park Project
September 15, 2015 Mr. Bill Johnson Coldwell Banker 511 Sir Francis Drake Boulevard Greenbrae, CA 94904 Focused Traffic Analysis for the One Lincoln Park Project Dear Mr. Johnson; As requested, W-Trans
More informationCOUNCIL POLICY MANUAL
COUNCIL POLICY MANUAL SECTION: PUBLIC WORKS SUBJECT: SNOW & ICE CONTROL POLICY 2012/2013 GOAL: Pages: 1 of 10 Approval Date: Dec. 3, 2012 Res. # 1001/2012 To annually identify the winter maintenance costs
More informationWinter Weather Safety Tips. From your friends at South Brunswick Township Department of Public Works
Winter Weather Safety Tips From your friends at South Brunswick Township Department of Public Works South Brunswick Township Department of Public Works is committed to providing timely, efficient, and
More informationExpanding the GSATS Model Area into
Appendix A Expanding the GSATS Model Area into North Carolina Jluy, 2011 Table of Contents LONG-RANGE TRANSPORTATION PLAN UPDATE 1. Introduction... 1 1.1 Background... 1 1.2 Existing Northern Extent of
More informationHow GIS Can Help With Tribal Safety Planning
How GIS Can Help With Tribal Safety Planning Thomas A. Horan, PhD Brian Hilton, PhD Arman Majidi, MAIS Center for Information Systems and Technology Claremont Graduate University Goals & Objectives This
More information