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NCHRP Report 532: Effective Methods for Environmental Justice Assessment (2004)
National Cooperative Highway Research Program (NCHRP)

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Forkenbrock, D J, Sheeley, J, Transportation Research Board. "Resources." NCHRP Report 532: Effective Methods for Environmental Justice Assessment. Washington, DC: The National Academies Press, 2004.

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Page
158
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Page
158
Front Matter (R1-R9)
Introduction (1-1)
Environmental Justice Defined (2-3)
The Role of Environmental Justice in Transportation Planning and Policy Development (4-5)
Environmental Justice and Distributive Effects (6-7)
Types of Effects Addressed (8-8)
Understanding the Guidebook (9-11)
Using the Guidebook (12-14)
Relationship to Other Recent Publications (15-16)
Resources (17-17)
References (18-18)
Overview (19-19)
State of the Practice (20-21)
Selecting an Appropriate Method of Analysis (22-23)
Methods (24-54)
Resources (55-55)
References (56-57)
State of the Practice (58-64)
Methods (65-90)
References (91-92)
State of the Practice (93-98)
Selecting an Appropriate Method of Analysis (99-99)
Methods (100-114)
Resources (115-115)
References (116-117)
State of the Practice (118-121)
Selecting an Appropriate Method of Analysis (122-122)
Methods (123-129)
Resources (130-132)
State of the Practice (133-133)
Selecting an Appropriate Method of Analysis (134-135)
Methods (136-157)
Resources (158-158)
References (159-161)
Overview (162-163)
State of the Practice Accessibility (164-165)
Methods for Studying Accessibility (166-180)
State of the Practice Transportation Choice (181-183)
Methods for Studying Transportation Choice (184-190)
Resources (191-191)
References (192-193)
State of the Practice (194-199)
Selecting an Appropriate Method of Analysis (200-201)
Methods (202-209)
Resources (210-210)
References (211-211)
State of the Practice (212-212)
Selecting an Appropriate Method of Analysis (213-213)
Methods (214-222)
Resources (223-224)
References (225-225)
Overview (226-226)
State of the Practice (227-230)
Selecting an Appropriate Method of Analysis (231-232)
Methods (233-242)
Resources (243-243)
References (244-244)
Overview (245-245)
State of the Practice (246-256)
Selecting an Appropriate Method of Analysis (257-258)
Methods (259-267)
References (268-268)
State of the Practice (269-269)
Selecting an Appropriate Method of Analysis (270-272)
Methods (273-279)
Additional Information (280-282)
Resources (283-283)
References (284-285)
Overview (286-286)
State of the Practice (287-287)
Selecting an Appropriate Method of Analysis (288-290)
Methods (291-296)
References (297-298)
Appendix A - Environmental Justice Regulations and Guidance (299-309)
Appendix B - Implications of Recent Environmental Justice Case Law (310-313)
Appendix C - Using Geographic Information Systems to Evaluate Environmental Justice (314-324)
Appendix D - The Decennial Census as a Source of Data for the Analysis of Environmental Justice (325-340)
Glossary (341-356)
Abbreviations used without definitions in TRB publications (357-357)

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· Time, day of the week, day of the year, and conditions (such as weather, road, and traffic conditions); and · Factors that influence travel choice (such as whether a person would have chosen another route or a particular mode if road conditions or facilities were different). Results and their presentation. User survey results should be summarized to highlight key findings. The results can then be used to identify how transportation choice should be evaluated and how a particular policy or project is likely to affect transportation options. Standard statistical analysis techniques can be used to evaluate the accuracy of survey results. Geographic information can be presented on maps, and time series data can be graphed to illustrate trends. Results from user surveys can be presented by mode, group, or location to meet analysis requirements. For example, to analyze the effects a highway project will have on the travel choices of transportation-disadvantaged people, it may be appropriate to present survey data indicating the number of people in various groups near the project site (e.g., nondrivers, low- income persons, and persons with disabilities), their current travel patterns (e.g., how many currently walk and bicycle along the proposed route), and how these travel modes are likely to be affected. In an environmental justice context, user demand and evaluation surveys can be carried out to estimate the specific effects a particular project would have on protected populations. These surveys also can be used to assess problem areas and the efficacy of possible improvements. Assessment. User demand and evaluation surveys are a commonly applied tool for determining the current circumstances facing pedestrians and cyclists. Problem areas identified in these surveys can then be addressed as a transportation project is designed. More specifically, this gives planners a better understanding of features to avoid or include for facilitating travel by alternative modes when designing upgraded or reconfigured facilities. As is true of any user survey, however, the results will reflect only the views and experiences of current or past users. Those who have not been able or willing to use the various forms of alternative transportation will not be represented. Thus, it must be recognized that these surveys are only one useful source of information; they cannot be regarded as completely definitive for establishing the needs and preferences surrounding alternative transportation issues RESOURCES 1) Dixon, Linda. 1996. "Bicycle and Pedestrian Level-of-Service Performance Measures and Standards for Congestion Management Systems." Transportation Research Record 1538. Washington, DC: Transportation Research Board, National Research Council, pp. 1­9. This article describes LOS ratings for walking and cycling conditions to help identify ways to improve and encourage nonmotorized transportation. The ratings take into account the existence of separated facilities, conflicts, speed differential, congestion, maintenance, amenities, and traffic demand modeling (TDM). These are relatively easy-to-use methods for evaluating non-motorized roadway conditions that may be simpler to apply than other, more data-intensive methods. 162