Browsing by Subject "Pedestrians"

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Access Across America: Walking 2014
(Center for Transportation Studies, University of Minnesota, 2015-05) Owen, Andrew; Levinson, David; Murphy, Brendan
Accessibility is the ease of reaching valued destinations. It can be measured for various transportation modes, to different types of destinations, and at different times of day. There are a variety of ways to define accessibility, but the number of destinations reachable within a given travel time is the most comprehensible and transparent, as well as the most directly comparable across cities. This study estimates the accessibility to jobs by walking in the 50 largest (by population) metropolitan areas in the United States, and is a companion study to our Access Across America: Transit 2014 report. Rankings are determined by a weighted average of accessibility, giving a higher weight to closer jobs. Jobs reachable within ten minutes are weighted most heavily, and jobs are given decreasing weights as travel time increases up to 60 minutes. This report presents detailed accessibility values for each metropolitan area, as well as block-level maps which illustrate the spatial patterns of accessibility within each area. A separate publication, Access Across America: Walking 2014 Methodology, describes the data and methodology used in this evaluation: http://dx.doi.org/10.13020/D6D598
Access Across America: Walking 2014 Methodology
(Center for Transportation Studies, University of Minnesota, 2015-05) Owen, Andrew; Levinson, David M.
Accessibility is the ease of reaching valued destinations. It can be measured for various transportation modes, to different types of destinations, and at different times of day. There are a variety of ways to define accessibility, but the number of destinations reachable within a given travel time is the most comprehensible and transparent, as well as the most directly comparable across cities. This report describes the data and methodology used in the separate publication, Access Across America: Walking 2014 (http://hdl.handle.net/11299/176566). That report estimates the accessibility to jobs by walking in the 50 largest (by population) metropolitan areas in the United States. Walking mode-share for commute trips nationally is around 2.8%, and 5.0% within large cities in the United States. Rankings are determined by a weighted average of accessibility, giving a higher weight to closer jobs. Jobs reachable within ten minutes are weighted most heavily, and jobs are given decreasing weight as travel time increases up to 60 minutes.
Access to Destinations: Application of Accessibility Measures for Non-Auto Travel Modes
(Minnesota Department of Transportation, Research Services Section, 2009-07) Krizek, Kevin J.; Iacono, Michael; El-Geneidy, Ahmed; Liao, Chen Fu; Johns, Robert
Conventional transportation planning is often focused on improving movement (or mobility)—most often by the automobile. To the extent that accessibility, a well-known concept in the transportation planning field since the 1950s, has been measured or used in transportation planning, such measures have also been auto-based. Broadening the scope of accessibility to include a wide array of destinations and non-auto modes such as walking, cycling, and transit has been previously proposed as a much needed aim among planning initiatives. A central issue is that to date, however, there have been few examples of measures draw from. When it comes to bicycling, walking, and transit measures of accessibility are an endeavor long on rhetoric but short on execution. This report discusses such hurdles, presents alternatives for overcoming them, and demonstrates how accessibility for walking, cycling, and transit—and for different types of destinations—can be reliably measured. We focus on explaining specific features of non-motorized transportation that complicate the development of accessibility measures, and offer solutions that conform to conventional transportation planning practice. In this research project, non-motorized measures of accessibility were developed for the entire seven counties of the Twin Cities (Minnesota, USA) metropolitan area. For purposes of this exposition in this report, we discuss the details of creating such measures using a sample application from Minneapolis, Minnesota, USA to demonstrate proof of concept for the endeavor.
Access to Destinations: Refining Methods for Calculating Non-Auto Travel Times
(Minnesota Department of Transportation, 2007-06) Krizek, Kevin; El-Geneidy, Ahmed; Iacono, Michael; Horning, Jessica
The functioning of the system of land use and travel networks in a region can be encapsulated into measures of the ease of reaching destinations from various locations, often referred to as accessibility measures. Regardless of the form used to specify accessibility, all measures require as inputs travel times between the zones of a region. For most transportation planning purposes, these travel time calculations are limited to motorized modes (auto and public transit), since these modes carry the bulk of all urban travel. In this research study, attention is focused on developing methods for calculating travel times by non-auto modes, including walking, bicycling and public transit. Unique networks for each mode are developed, accounting for the presence of special facilities such as pedestrian or bicycle trails and on-street bike lanes. A statistical model is estimated to identify the influence of special bicycle facilities on travel speeds, using GPS data collected from bicyclists in a real-world setting. These methods are demonstrated with an application to a section of the Twin Cities metropolitan region encompassing parts of the cities of Minneapolis, St. Paul and Bloomington. The output of the application of these methods are a set of maps depicting travel sheds from various locations within the study area. The data are displayed for three points in time: 1995, 2000 and 2005. Changes to these travel sheds over time are demonstrated with maps that show the difference in travel time between each set of origins and destinations for each pair of years. The research concludes with some suggestions about the uses of the travel time data, such as the calculation of multimodal, multipurpose measures of accessibility.
Advances in pedestrian travel monitoring: Temporal patterns and spatial characteristics using pedestrian push-button data from Utah traffic signals
(Journal of Transport and Land Use, 2021) Humagain, Prasanna; Singleton, Patrick A.
In this study, we advanced pedestrian travel monitoring using a novel data source: pedestrian push-button presses obtained from archived traffic signal controller logs at more than 1,500 signalized intersections in Utah over one year. The purposes of this study were to: (1) quantify pedestrian activity patterns; (2) create factor groups and expansion/adjustment factors from these temporal patterns; and (3) explore relationships between patterns and spatial characteristics. Using empirical clustering, we classified signals into five groups, based on normalized hourly/weekly counts (each hour’s proportion of weekly totals, or the inverse of the expansion factors), and three clusters with similar monthly adjustment factors. We also used multinomial logit models to identify spatial characteristics (land use, built environment, socio-economic characteristics, and climatic regions) associated with different temporal patterns. For example, we found that signals near schools were much more likely to have bimodal daily peak hours and lower pedestrian activity during out-of-school months. Despite these good results, our hourly/weekday patterns differed less than in past research, highlighting the limits of existing infrastructure for capturing all kinds of activity patterns. Nevertheless, we demonstrated that signals with push-button data are a useful supplement to existing permanent counters within a broader pedestrian traffic monitoring program.
Analyses of Bicycle and Pedestrian Trail Traffic: New Tools for Modeling User Expenditures and Demand
(2017-08) Ermagun, Alireza
Despite the importance of multi-use trails in urban non-motorized transportation networks, transportation planners, engineers, and trail managers lack tools for describing economic activity associated with local trail use and for predicting bicycle and pedestrian demand for trails. New tools are needed to plan and prioritize investments in new facilities and to inform management and maintenance of trail infrastructure. Among other needs, they need tools to predict (1) expenditures by local users to support local economic development initiatives and assess neighborhood effects of proposals for trail development and (2) trail traffic demand for optimizing investments and managing maintenance of systems and facilities. This thesis responds to these needs and augments the burgeoning literature on trail traffic analysis by developing models of trail-related expenditures and mode-specific trail demand models. From the expenditures by local users side, using the results of intercept surveys completed by 1,282 trail users on the Central Ohio Greenway trail network in 2014, this thesis estimates the probabilities and patterns that different types of trail users will make expenditures. Approximately one-fifth of trail users reported spending between US$15 and US$20 for food, drink, and other incidental items. Across all trail users the average expenditure by individuals is about US$3 per visit. All else equal, cyclists are more than twice as likely than other users to report expenditures. Users visiting trails principally for recreation are 53% more likely to spend, while users visiting trails mainly for exercise were about 19% less likely. Both longer trips to and on the trails are associated with higher spending. From the trail traffic demand side, this thesis employs trail traffic volumes recorded at 15-minute intervals for 32 multi-use trails located in 13 urban areas across the United States from January 1, 2014 through February 16, 2016. The results of analyses indicate (1) daily trail traffic varies substantially – over three orders of magnitude – across the monitoring stations included in the study; (2) daily trail traffic is highly correlated with weather, and the parabola form of weather parameters works well for modeling variables such as temperature, where trail use is associated with warmer temperatures, but only up to a point at which higher temperatures then decrease use; (3) bicyclists and pedestrians respond differently to variations in weather, and their responses vary both within and across regions; (4) with only a few exceptions, average daily pedestrians (ADP) and average daily bicyclists (ADB) are correlated with different variables, and the magnitude of effects of variables that are the same varies significantly between the two modes; (5) the mean relative percentage error (MRPE) for bicyclist, pedestrian, and mixed-mode demand models, respectively, are 65.4%, 85.3%, and 45.9%; (6) although using multimodal monitoring networks enables us to juxtapose the bicyclist demand with pedestrian demand, there is not a significant improvement in predicting total demand using multimodal sensors; (7) a new post-validation procedure improves the demand models, reducing the MRPE of bicyclist, pedestrian, and mixed-mode models by 27.2%, 32.1%, and 14.1%. Transportation planners, engineers, and trail managers can use these results to estimate the effects of weather and climate on trail traffic and to plan and manage facilities more effectively. The developed models also can be used in practical applications such as selection of route corridors and prioritization of investments where order-of-magnitude estimates suffice.
Bicycle and Pedestrian Data Collection Manual
(Minnesota Department of Transportation, 2017-01) Minge, Erik; Falero, Courtney; Lindsey, Greg; Petesch, Michael; Vorvick, Thor
The Minnesota Department of Transportation (MnDOT) launched the Minnesota Bicycle and Pedestrian Counting Initiative in 2011, a statewide, collaborative effort to encourage and support non-motorized traffic monitoring. One of the objectives of the Initiative was to provide guidance related to monitoring bicycle and pedestrian traffic. This manual is an introductory guide nonmotorized traffic monitoring. The manual describes general traffic monitoring principles; bicycle and pedestrian data collection sensors; how to perform counts; data management and analysis; and the next steps for bicycle and pedestrian traffic monitoring in Minnesota. The manual also includes several case studies that illustrate how bicycle and pedestrian traffic data can be used to support transportation planning and engineering.
Bus Driver Intersection Task Analysis: Investigation of Bus-Pedestrian Crashes
(Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2013-01) Wei, Chia; Becic, Ensar; Edwards, Christopher; Manser, Michael
The current report includes two specific research efforts. The primary objective of the first research effort was to conduct a task analysis of a left-turn maneuver by a bus driver. The goal of this task analysis was to provide insight into the cognitive and perceptual processes that bus drivers complete while performing a left-turn maneuver. An additional goal of the first research effort included the development of potential countermeasures that could help reduce the frequency of bus-pedestrian collisions. The interviews conducted as part of the task analysis revealed that drivers engage in a large number of subtasks and cognitive/perceptual processes when completing a left-turn maneuver. We proposed two potential interventions for the reduction of bus/pedestrian collisions. One of the proposed interventions was designed to aid a driver in detection of pedestrians at a crosswalk. The second intervention was designed to remove a need to perform a particular attention-demanding subtask to reduce the cognitive and perceptual load that drivers experience during this maneuver. The second research effort was designed as a pilot simulator study in which we examined the potential effectiveness of proposed interventions. The second study uncovered unanticipated findings (i.e., high rate of collisions with pedestrians) that may be due to the nature of the simulator studies – lack of real-world consequences. The results of the pilot study provided sufficient data for further examination of different support tools for the reduction of the fatalities between left-turning buses, and also uncovered potential relationship between work-related stress and the impact on driving performance.
Complete Streets from Policy to Project: The Planning and Implementation of Complete Streets at Multiple Scales
(Minnesota Department of Transportation, 2013-12) Schively Slotterback, Carissa; Zerger, Cindy
Complete streets is emerging as an influential movement in transportation planning, design, and engineering. This guidebook, with accompanying case studies, explores the variety of ways in which complete streets is conceptualized and institutionalized by various jurisdictions. It offers practical and applicable insights for jurisdictions in Minnesota and elsewhere. The research focused on best practices in 11 locations across the nation: Albert Lea, Minnesota; Arlington County, Virginia; Boulder, Colorado; Charlotte, North Carolina; Columbus, Ohio; Dubuque, Iowa; Fargo-Moorhead, North Dakota/Minnesota; Hennepin County, Minnesota; Madison, Wisconsin; New Haven, Connecticut; and Rochester, Minnesota. The guidebook is informed by an analysis of multiple data sources from each jurisdiction. The authors conducted a review of key documents (e.g., plans, policies, design guidelines), site visits, photo documentation, and in-depth interviews with more than 100 key informants. Six best practice areas emerged through the analysis: (1) framing and positioning, (2) institutionalizing complete streets, (3) analysis and evaluation, (4) project delivery and construction, (5) promotion and education, and (6) funding. The six best practice areas are described in detail and illustrated by examples from the case locations. The guidebook concludes with an appendix of complete streets case reports that offer additional details about each of the 11 case jurisdictions.
Complete streets state laws & provisions: An analysis of legislative content and the state policy landscape, 1972–2018
(Journal of Transport and Land Use, 2019) Porter, Jamila M.; Bryan, Shenée J.; Lee, Joel M.; Corso, Phaedra S.; Davis, Marsha; Rathbun, Stephen L.
Across the U.S., states have adopted Complete Streets legislative statutes—state laws that direct transportation agencies to routinely design and operate roadways to provide safe access for all users, including pedestrians, bicyclists, motorists, and public transit users. To date, there has not been a systematic and comprehensive analysis of the content and provisions of these laws. In this study, Complete Streets state statutes were identified using legal research databases. Using established legal mapping methods, a qualitative analysis was conducted of state laws that were effective through December 2018. A codebook and open-source data set were developed to support the public use of the data. Eighteen states and Washington, DC, have adopted Complete Streets legislative statutes. A total of 21 have been adopted, with 76% (n=16) of laws adopted since 2007. While the laws vary in content, detail, and specificity, several common provisions were identified across statutes. Complete Streets legislative statutes may be essential to ensure that road networks throughout states are safe, connected, and accessible for all users. This study provides key insights into the legislative landscape of Complete Streets state laws and makes available a new data set that can support future evaluations of these laws.
Correspondence: Urban Mobility Plans and Accessibility
(Journal of Transport and Land Use, 2009) Dejeammes, Maryvonne
In France, as in other European countries, towns and cities have committed to reducing the negative effects of automobile traffic—accidents and air pollution—either by regulation or voluntarily in order to improve their inhabitants’ quality of life. Creating urban transport plans (PDUs) involves favoring non-automotive travel modes—walking and cycling—as well as public transport. Investment choices and planning of corresponding facilities are an excellent opportunity for improving accessibility to the town and public transport for disabled people and those with reduced mobility. The French law of February 11, 2005 “for equality of rights and chances, participation and citizenship of disabled people” included an obligation for PDUs to include an accessibility appendix whenever they are created, changed or revised. After a short review of the new regulatory obligations for authorities responsible for public transport and cities, this paper examines how PDUs approved since 1997 have dealt with the issue of accessibility for pedestrians and users of public transport. Two examples are analyzed. The first is the PDU for the town of Mulhouse, the actual decisions made concerning highways and public transports and the lessons learned by following indications and the difficulties encountered in involving local authorities responsible for accessibility modifications. The second example is the experience of Valenciennes in creating a street accessibility plan that will form part of the revision of the PDU. these examples highlight the institutional difficulties encountered and suggest methodological elements to facilitate cooperation between the various partners concerned and agreements with disabled people’s associations.
Deployment of Practical Methods for Counting Bicycle and Pedestrian Use of a Transportation Facility
(Intelligent Transportation Systems Institute, Center for Transportation Studies, 2012-01) Somasundaram, Guruprasad; Morellas, Vassilios; Papanikolopoulos, Nikolaos
The classification problem of distinguishing bicycles from pedestrians for traffic counting applications is the objective of this research project. The scenes that are typically involved are bicycle trails, bridges, and bicycle lanes. These locations have heavy traffic of mainly pedestrians and bicyclists. A vision-based system overcomes many of the shortcomings of existing technologies such as loop counters, buried pressure pads, infra-red counters, etc. These methods do not have distinctive profiles for bicycles and pedestrians. Also most of these technologies require expert installation and maintenance. Cameras are inexpensive and abundant and are relatively easy to use, but they tend to be useful as a counting system only when accompanied by powerful algorithms that analyze the images. We employ state-of-the-art algorithms for performing object classification to solve the problem of distinguishing bicyclists from pedestrians. We detail the challenges that are involved in this particular problem, and we propose solutions to address these challenges. We explore common approaches of global image analysis aided by motion information and compare the results with local image analysis in which we attempt to distinguish the individual parts of the composite object. We compare the classification accuracies of both approaches on real data and present detailed discussion on practical deployment factors.
The effects of pedestrian and bicycle exposure on crash risk in Minneapolis
(Journal of Transport and Land Use, 2021) Tao, Tao; Lindsey, Greg; Cao, Jason; Wang, Jueyu
Exposure to risk is a theoretically important correlate of crash risk, but many safety performance functions (SPFs) for pedestrian and bicycle traffic have yet to include the mode-specific measures of exposure. When SPFs are used in the systematic approach to assess network-wide crash risk, the omission of the exposure potentially could affect the identification of high-risk locations. Using crash data from Minneapolis, this study constructs and compares two sets of SPFs, one with pedestrian and bicycle exposure variables and the other without, for network-wide intersection and mid-block crash models. Inclusion of mode-specific exposure variables improves model validity and measures of goodness-of-fit and increases accuracy of predictions of pedestrian and bicycle crash risk. Including these exposure variables in the SPFs changes the distribution of high-risk locations, including the proportion of high-risk locations in low-income and racially concentrated areas. These results confirm the importance of incorporating exposure measures within SPFs and the need for pedestrian and bicycle monitoring programs to generate exposure data.
Envisioning the Arts Avenue: A Pedestrian Design and Lighting Study for the Sheridan Neighborhood
(2006) Maleitzke, Adam
Guidelines for safer pedestrian crossings: Understanding the factors that positively influence vehicle yielding to pedestrians at unsignalized intersections
(Minnesota Department of Transportation, 2023-06) Stern, Raphael; Li, Tianyi
Many factors influence an individual driver's decision to yield or not yield to individual pedestrians attempting to cross the road at an unsignalized crossing. This study collects observational data from more than 3,300 crossing events at 18 intersections in Minnesota to further our understanding of what factors positively influence driver yielding. Using the collected data, a statistical analysis was conducted to identify features that most strongly correlate with driver yielding. Event specific features such as speed were found to greatly influence yielding, with vehicles traveling at a speed of greater than 25 mph significantly less likely to yield to pedestrians than vehicles traveling at speeds lower than 25 mph. Site-specific features such as the presence of signs indicating a crossing were also strongly correlated with driver yielding. The results provide indication of which features of unsignalized crossings correlate with higher driver yielding rates. These findings can be used to guide policy and design at sites where a high driver yielding rate is desirable.
Human rights to the street: Ethical frameworks to guide planning, design, and engineering decisions toward livability, equity, and justice
(Journal of Transport and Land Use, 2021) Appleyard, Bruce; Riggs, William
Recently, there has been a renewed interest in statements about people’s rights to our streets. Drawing broadly from the literature and from an examination of a comprehensive collection of these rights, this article works toward establishing a comprehensive ethical framework that can be used to guide planning, design and engineering decisions to support pedestrian rights for street and urban livability. To identify and propose these ethical principles and help achieve optimal livability for individuals, groups and society, we: (a) comprehensively examine the literature to clarify the various concepts of street livability and human rights to the street (as related to a collection of various pedestrian rights statements); (b) explore what is being said in these rights to better understand people’s needs and wants; and (c) provide a roadmap for planners, urban designers, and engineers to address these needs in practice. Building on the previous steps and incorporating business practice literature of Functional Area Ethics, relevant functional areas are identified to help professionals act in support of these pedestrian rights.
Investigation of Pedestrian/Bicyclist Risk in Minnesota Roundabout Crossings
(Minnesota Department of Transportation, 2012-09) Hourdos, John; Richfield, Veronica; Shauer, Melissa
Many cities in the United States are installing roundabouts instead of traditional intersections, due to evidence that roundabouts dramatically reduce fatal and severe injury crashes compared to traditional signalized intersections. However, the impact on pedestrian safety is not clear. This project was developed to investigate pedestrian accessibility in Minnesota urban roundabouts, addressing complaints from pedestrians regarding difficulties in crossing and safety. The methodology followed in this ongoing research is typical of other observational studies. A sufficiently large number of observations on the interactions between pedestrians or bicycles (peds/bikes) and vehicles at two modern urban roundabouts in the Twin Cities of Minneapolis and St. Paul in Minnesota were collected and reduced. These observations have supported a two phased analysis. Phase 1 involved the extraction of general information describing the crossing event, such as who yielded, the location of the crossing, or the number of subjects involved. Phase 2 looked deeper into these factors by considering the conditions inside the roundabout before the vehicle proceeds to the crossing and meets with the ped/bike. The results presented, although containing no surprises, do highlight and categorize the existence of friction between pedestrians and drivers at roundabout crossings. Also the identification of factors affecting driver yield behavior and pedestrian wait time do offer good background for modeling such interactions.
Local environment characteristics associated with walking and taking transit to shopping districts
(Journal of Transport and Land Use, 2015) Schneider, Robert James
Mixed logit modeling was used to identify local environment characteristics associated with walking and taking public transit to and from shopping districts. The analysis was based on 388 intercept survey responses and local environment data from 20 San Francisco Bay Area shopping districts. This study makes methodological advances by 1) evaluating an extensive set of explanatory variables (travel time and cost, socioeconomic characteristics, attitudes, perceptions, and local environment characteristics) within the same modeling process and 2) analyzing shopping mode choice within a tour-based framework. Travel time, travel cost, and respondent socioeconomic characteristics had expected relationships with mode choice. Walking to and from shopping districts was associated with shorter trip distances (i.e., shorter travel time relative to other modes). Transit use was associated with shopping district population density and proximity to a transit station. Automobile use was discouraged by higher employment densities and smaller parking lots. The results support strategies such as developing high-density, mixed-use activity hubs; reducing surface parking; and increasing the price of on-street parking to increase walking and taking transit to shopping districts.
Measuring transportation at a human scale: An intercept survey approach to capture pedestrian activity
(Journal of Transport and Land Use, 2013) Schneider, Robert James
Pedestrian travel data are critical for measuring and analyzing sustainable transportation systems. However, traditional household travel surveys and analysis methods often ignore secondary modes, such as walking from a street parking space to a store entrance or walking from a bus stop to home. New data collection and analysis techniques are needed, especially in areas where walking is common. This paper describes an intercept survey methodology used to measure retail pharmacy customer travel to, from, and within 20 shopping districts in the San Francisco Bay Area. Of the 1003 respondents, 959 (96 percent) reported all modes of travel used from leaving home until returning home, including secondary modes. Walking was the primary travel mode on 21 percent of respondent tours, but an analysis of secondary modes found that 52 percent of tours included some walking. Pedestrian travel was particularly common within shopping districts, accounting for 65 percent of all trips within 804 meters (0.5 miles) of survey stores. Detailed walking path data from the survey showed that respondents in denser, more mixed-use shopping districts tended to walk along the main commercial street as well as other streets connecting to the core shopping area, while respondent pedestrian movements in automobile-oriented shopping districts tended to be contained within specific shopping complexes.
The Minnesota Bicycle and Pedestrian Counting Initiative: Implementation Study
(Minnesota Department of Transportation, 2015-06) Lindsey, Greg; Petesch, Michael; Hankey, Steve
The Minnesota Bicycle and Pedestrian Counting Initiative: Implementation Study reports results from the second in a series of three MnDOT projects to foster non-motorized traffic monitoring. The objectives were to install and validate permanent automated sensors, use portable sensors for short duration counts, develop models for extrapolating counts, and integrate continuous counts into MnDOT traffic monitoring databases. Commercially available sensors, including inductive loops, integrated inductive loops and passive infrared, pneumatic tubes, and radio beams, were installed both as permanent monitor sites and used for short-duration counts at a variety of locations in cities, suburbs, and small towns across Minnesota. All sensors tested in the study produced reasonably accurate measures of bicycle and pedestrian traffic. Most sensors undercounted because of their inability to distinguish and count bicyclists or pedestrians passing simultaneously. Accuracy varied with technology, care and configuration of deployment, maintenance, and analytic methods. Bicycle and pedestrian traffic volumes varied greatly across locations, with highest volumes being on multiuse trails in urban areas. FHWA protocols were used to estimate annual average daily traffic and miles traveled on an 80-mile multiuse trail network in Minneapolis. Project findings were incorporated in a new MnDOT guidance document, “DRAFT Bicycle and Pedestrian Data Collection Manual” used in statewide training workshops. A major challenge in implementing bicycle and pedestrian traffic monitoring is data management. Years will be required to institutionalize bicycle and pedestrian traffic successfully.

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