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Journal articles on the topic 'Active Transportation'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

de Bruijn, Gert-Jan, Stef P. J. Kremers, Amika Singh, Bas van den Putte, and Willem van Mechelen. "Adult Active Transportation." American Journal of Preventive Medicine 36, no. 3 (March 2009): 189–94. http://dx.doi.org/10.1016/j.amepre.2008.10.019.

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2

Fulton, Janet E., Jessica L. Shisler, Michelle M. Yore, and Carl J. Caspersen. "Active Transportation to School." Research Quarterly for Exercise and Sport 76, no. 3 (September 2005): 352–57. http://dx.doi.org/10.1080/02701367.2005.10599306.

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3

Larouche, Richard, Guy E. J. Faulkner, Michelle Fortier, and Mark S. Tremblay. "Active Transportation and Adolescents’ Health." American Journal of Preventive Medicine 46, no. 5 (May 2014): 507–15. http://dx.doi.org/10.1016/j.amepre.2013.12.009.

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4

Mackay, L., G. Schofield, N. Garrett, and H. Badland. "123 Community perspectives on active transportation." Journal of Science and Medicine in Sport 8 (December 2005): 72. http://dx.doi.org/10.1016/s1440-2440(17)30618-7.

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5

Janssen, Ian, Sean O'Loghlen, and William Pickett. "Active transportation environments surrounding Canadian schools." Canadian Journal of Diabetes 35, no. 2 (January 2011): 156–57. http://dx.doi.org/10.1016/s1499-2671(11)52072-6.

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6

Iroz-Elardo, Nicole, and Larry Frank. "Monetizing Morbidity to Support Active Transportation." Journal of Transport & Health 3, no. 2 (June 2016): S45—S46. http://dx.doi.org/10.1016/j.jth.2016.05.099.

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7

Connolly, Cristina, Mitchell R. Livy, Yun Qiu, and H. Allen Klaiber. "Capitalization of interconnected active transportation infrastructure." Landscape and Urban Planning 182 (February 2019): 67–78. http://dx.doi.org/10.1016/j.landurbplan.2018.09.010.

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8

Schofield, G. M., L. Schofield, and W. K. Mummery. "ADOLESCENT ACTIVE TRANSPORTATION FOR PHYSICAL ACTIVITY." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S342. http://dx.doi.org/10.1097/00005768-200305001-01904.

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9

Fields, Billy, and Angie L. Cradock. "Federal Active Transportation Policy in Transition." Public Works Management & Policy 19, no. 4 (August 13, 2014): 322–27. http://dx.doi.org/10.1177/1087724x14546200.

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10

O’Loghlen, Sean, William Pickett, and Ian Janssen. "Active Transportation Environments Surrounding Canadian Schools." Canadian Journal of Public Health 102, no. 5 (September 2011): 364–68. http://dx.doi.org/10.1007/bf03404178.

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11

Burbidge, Shaunna, and Konstadinos Goulias. "Active travel behavior." Transportation Letters 1, no. 2 (April 2009): 147–67. http://dx.doi.org/10.3328/tl.2009.01.02.147-167.

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12

Dill, Jennifer, Oliver Smith, and Deborah Howe. "Promotion of active transportation among state departments of transportation in the U.S." Journal of Transport & Health 5 (June 2017): 163–71. http://dx.doi.org/10.1016/j.jth.2016.10.003.

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13

Mele, Lorenzo, and Lawrence Loh. "Two Way Street – Public Health and Transportation Working Together on Active Transportation." Journal of Transport & Health 9 (June 2018): S13—S14. http://dx.doi.org/10.1016/j.jth.2018.05.066.

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14

Younkin, Samuel G., Henry C. Fremont, and Jonathan A. Patz. "The Health-Oriented Transportation Model: Estimating the health benefits of active transportation." Journal of Transport & Health 22 (September 2021): 101103. http://dx.doi.org/10.1016/j.jth.2021.101103.

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15

Whitfield, Geoffrey P., Prabasaj Paul, and Arthur M. Wendel. "Active Transportation Surveillance — United States, 1999–2012." MMWR. Surveillance Summaries 64, no. 7 (August 28, 2015): 1–17. http://dx.doi.org/10.15585/mmwr.ss6407a1.

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16

Wu, Yizheng, Dana Rowangould, Jonathan K. London, and Alex Karner. "Modeling health equity in active transportation planning." Transportation Research Part D: Transport and Environment 67 (February 2019): 528–40. http://dx.doi.org/10.1016/j.trd.2019.01.011.

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17

Schlossberg, Marc, and Christo Brehm. "Participatory Geographic Information Systems and Active Transportation." Transportation Research Record: Journal of the Transportation Research Board 2105, no. 1 (January 2009): 83–91. http://dx.doi.org/10.3141/2105-11.

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18

Schauder, Stephanie A., and Mark C. Foley. "The relationship between active transportation and health." Journal of Transport & Health 2, no. 3 (September 2015): 343–49. http://dx.doi.org/10.1016/j.jth.2015.06.006.

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19

Lee, Richard, and Ipek Sener. "A Review of Equity in Active Transportation." Journal of Transport & Health 3, no. 2 (June 2016): S76—S77. http://dx.doi.org/10.1016/j.jth.2016.05.027.

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20

Ermagun, Alireza, and Amir Samimi. "Promoting active transportation modes in school trips." Transport Policy 37 (January 2015): 203–11. http://dx.doi.org/10.1016/j.tranpol.2014.10.013.

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21

Rojas-Rueda, David, Audrey de Nazelle, Zorana J. Andersen, Charlotte Braun-Fahrländer, Jan Bruha, Hana Bruhova-Foltynova, Hélène Desqueyroux, et al. "Health Impacts of Active Transportation in Europe." PLOS ONE 11, no. 3 (March 1, 2016): e0149990. http://dx.doi.org/10.1371/journal.pone.0149990.

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22

Proulx, Frank R., Yuanyuan Zhang, and Offer Grembek. "Database for Active Transportation Infrastructure and Volume." Transportation Research Record: Journal of the Transportation Research Board 2527, no. 1 (January 2015): 99–106. http://dx.doi.org/10.3141/2527-11.

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23

Gran, Richard. "Active vibration damping arrangement for transportation vehicles." Journal of the Acoustical Society of America 102, no. 6 (1997): 3247. http://dx.doi.org/10.1121/1.421038.

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24

Peterman, James E., Kalee L. Morris, Rodger Kram, and William C. Byrnes. "Pedelecs as a physically active transportation mode." European Journal of Applied Physiology 116, no. 8 (June 14, 2016): 1565–73. http://dx.doi.org/10.1007/s00421-016-3408-9.

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25

Berrigan, David, Richard P. Troiano, Timothy McNeel, Charles DiSogra, and Rachel Ballard-Barbash. "Active Transportation Increases Adherence to Activity Recommendations." American Journal of Preventive Medicine 31, no. 3 (September 2006): 210–16. http://dx.doi.org/10.1016/j.amepre.2006.04.007.

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26

Berrigan, David, Linda W. Pickle, and Jennifer Dill. "Associations between street connectivity and active transportation." International Journal of Health Geographics 9, no. 1 (2010): 20. http://dx.doi.org/10.1186/1476-072x-9-20.

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27

Foster, Daniel. "Neurologists should endorse active transportation for their patients." Neurology: Clinical Practice 7, no. 4 (June 26, 2017): 372–76. http://dx.doi.org/10.1212/cpj.0000000000000377.

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AbstractIt has been well-established that social determinants prevent far more deaths than medical care. Both behavior and social circumstance are closely linked to transportation. The connection between health and transportation is both direct (pedestrian injury, for example) and indirect (commuting access to work leading to employer-based health insurance, for example). Thus, transportation policy and health policy are interrelated. Neurologists should join community partnerships to promote safe and healthy transportation options for all people but especially for their patients.

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28

Perchoux, Camille, Christophe Enaux, Jean-Michel Oppert, Mehdi Menai, Hélène Charreire, Paul Salze, Christiane Weber, et al. "Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women." BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/9069730.

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The objectives were (1) to define physical activity (PA) and sedentary behaviors (SB) patterns in daily life contexts (work, leisure, and transportation) in French working women from NutriNet-Santé web-cohort and (2) to identify pattern(s) of active transportation and their individual, social, and environmental correlates. 23,432 participants completed two questionnaires to evaluate PA and SB in daily life contexts and individual representations of residential neighborhood and transportation modes. Hierarchical cluster analysis was performed which identified 6 distinct movement behavior patterns: (i) active occupation, high sedentary leisure, (ii) sedentary occupation, low leisure, (iii) sedentary transportation, (iv) sedentary occupation and leisure, (v) active transportation, and (vi) active leisure. Multinomial logistic regressions were performed to identify correlates of the “active transportation” cluster. The perceived environmental characteristics positively associated with “active transportation” included “high availability of destinations around home,” “presence of bicycle paths,” and “low traffic.” A “positive image of walking/cycling,” the “individual feeling of being physically active,” and a “high use of active transport modes by relatives/friends” were positively related to “active transportation,” identified as a unique pattern regarding individual and environmental correlates. Identification of PA and SB context-specific patterns will help to understand movement behaviors’ complexity and to design interventions to promote active transportation in specific subgroups.

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29

Kim, Eun Jung, Jiyeong Kim, and Hyunjung Kim. "Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes." International Journal of Environmental Research and Public Health 17, no. 7 (March 25, 2020): 2178. http://dx.doi.org/10.3390/ijerph17072178.

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A walkable environment is a crucial factor for promoting active transportation. The purpose of this study is to examine the association between neighborhood walkability and active transportation for noncommuting purposes (leisure and shopping) in Seoul, Korea. The Walkability Score is used as a measure of walkability, and a multilevel logistic regression model is employed to measure the odds of active transportation (i.e., walking and cycling; nonmotorized trips) at two levels: individual (level 1) and neighborhood (level 2). The results of the study showed that the Walkability Score was significantly correlated with higher odds of active transportation in shopping models. Specifically, every one-point increase in the Walkability Score was associated with 1.5%–1.8% higher odds of active transportation in shopping models. However, there was no significant correlation between the two in leisure models. Meanwhile, individual characteristics associated with the odds of active transportation differed in the leisure and shopping models. Older age was positively correlated with the odds of active transportation in the leisure model, while females showed a positive correlation in the shopping model. Based on the study, urban and transportation planners can recommend urban policies to promote active transportation in an urban setting.

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30

Dill, Jennifer. "P02 Promotion of Active Transportation among State Departments of Transportation in the US." Journal of Transport & Health 2, no. 2 (June 2015): S64—S65. http://dx.doi.org/10.1016/j.jth.2015.04.461.

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31

Khan, Nazmul, and Muhammad Habib. "Evaluation of Preferences for Alternative Transportation Services and Loyalty towards Active Transportation during a Major Transportation Infrastructure Disruption." Sustainability 10, no. 6 (June 16, 2018): 2050. http://dx.doi.org/10.3390/su10062050.

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32

Voss, Christine, Meghan Winters, Amanda Frazer, and Heather McKay. "School-travel by public transit: Rethinking active transportation." Preventive Medicine Reports 2 (2015): 65–70. http://dx.doi.org/10.1016/j.pmedr.2015.01.004.

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33

Pinkerton, Bryn, Andrei Rosu, Ian Janssen, and William Pickett. "Active Transportation Safety Features around Schools in Canada." International Journal of Environmental Research and Public Health 10, no. 11 (October 31, 2013): 5711–25. http://dx.doi.org/10.3390/ijerph10115711.

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34

Flanigan, Marie, Alan Blatt, Mary Russell, Rajan Batta, and Kunik Lee. "Emergency Response Technology and Integrated Active Transportation System." Transportation Research Record: Journal of the Transportation Research Board 2189, no. 1 (January 2010): 26–36. http://dx.doi.org/10.3141/2189-04.

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35

Bassett, David R. "Encouraging Physical Activity and Health Through Active Transportation." Kinesiology Review 1, no. 1 (February 2012): 91–99. http://dx.doi.org/10.1123/krj.1.1.91.

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The built environment has profound effects on physical activity and health. Many communities in the US are built around the automobile, with little consideration given to pedestrians, cyclists, and transit users. These places tend to have higher rates of physical inactivity (defined as “no leisure time physical activity”) and higher rates of obesity, diabetes, heart disease, and stroke. However, in some European countries and selected US cities, communities have been constructed in ways that encourage active modes of transportation. In these places, a large segment of the population meets physical activity guidelines, due in part to the activity they acquire in performing daily tasks. In addition to promoting active transportation, these environments promote recreational walking, jogging, and cycling. Kinesiologists can and should work with urban planners, transportation officials, developers, public health practitioners, and the general public to design cities in ways that enhance physical activity and health.

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36

MITSUBAYASHI, Kohji, Yoshihiko WAKABAYASHI, and Toshiaki OKAMOTO. "Development of Biochemo-mechanical Devices with Active Transportation." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2004.16 (2004): 109–10. http://dx.doi.org/10.1299/jsmebio.2004.16.109.

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37

Habinger, Juan, Javiera Chávez, Sandra Matsudo, Irina Kovalskys, Georgina Gómez, Attilio Rigotti, Lilia Sanabria, et al. "Active Transportation and Obesity Indicators in Adults from Latin America: ELANS Multi-Country Study." International Journal of Environmental Research and Public Health 17, no. 19 (September 24, 2020): 6974. http://dx.doi.org/10.3390/ijerph17196974.

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Purpose: The aim of this study was to determine the association between active transportation and obesity indicators in adults from eight Latin American countries. Methods: Data from the ELANS study, an observational multi-country study (n: 8336; 18–65 years), were used. Active transportation (walking and cycling) and leisure time physical activity was assessed using the International Physical Activity Questionnaire (long version). The obesity indicators considered were: body mass index, and waist and neck circumference. Results: In the total sample, the average time dedicated to active transportation was 24.3 min/day, with the highest amount of active transportation being Costa Rica (33.5 min/day), and the lowest being Venezuela (15.7 min/day). The countries with the highest proportion of active transportation were Ecuador (71.9%), and the lowest was Venezuela (40.5%). Results from linear regression analyses suggest that active transportation was significantly and independently associated with a lower body mass index (β: −0.033; 95% CI: −0.064; −0.002), but not with waist circumference (β: −0.037; 95% CI: −1.126; 0.390 and neck circumference (β: −0.007; 95% CI: −0.269; 0.130). Conclusions: Active transportation is significantly associated with a lower body mass index. Governments should incentivize this type of transportation as it could help to reduce the obesity pandemic in Latin America.

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38

Sallis, James F., Lawrence D. Frank, Brian E. Saelens, and M. Katherine Kraft. "Active transportation and physical activity: opportunities for collaboration on transportation and public health research." Transportation Research Part A: Policy and Practice 38, no. 4 (May 2004): 249–68. http://dx.doi.org/10.1016/j.tra.2003.11.003.

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39

González, Silvia A., Salomé Aubert, Joel D. Barnes, Richard Larouche, and Mark S. Tremblay. "Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison." International Journal of Environmental Research and Public Health 17, no. 16 (August 18, 2020): 5997. http://dx.doi.org/10.3390/ijerph17165997.

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This article aims to compare the prevalence of active transportation among children and adolescents from 49 countries at different levels of development. The data was extracted from the Report Cards on Physical Activity for Children and Youth from the 49 countries that participated in the Global Matrix 3.0 initiative. Descriptive statistics and a latent profile analysis with active transportation, Human Development Index and Gini index as latent variables were conducted. The global average grade was a “C”, indicating that countries are succeeding with about half of children and youth (47–53%). There is wide variability in the prevalence and in the definition of active transportation globally. Three different profiles of countries were identified based on active transportation grades, Human Development Index (HDI) and income inequalities. The first profile grouped very high HDI countries with low prevalence of active transport and low inequalities. The second profile grouped low and middle HDI countries with high prevalence of active transportation and higher inequalities. And the third profile was characterized by the relatively high prevalence of active transportation and more variability in the socioeconomic variables. Promising policies from countries under each profile were identified. A unified definition of active transportation and contextualized methods for its assessment are needed to advance in surveillance and practice.

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40

Loong, Charis, Dea van Lierop, and Ahmed El-Geneidy. "The Path of Least Resistance: Identifying Supporters of Public and Active Transportation Projects." Transportation Research Record: Journal of the Transportation Research Board 2666, no. 1 (January 2017): 94–102. http://dx.doi.org/10.3141/2666-11.

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The financing and implementation of transportation projects are more likely to be successful with the support of local communities. Hence, for cities and transportation agencies to develop strategies that will improve public acceptability and reduce resistance to funding transportation projects, it is important to understand differences in the levels of local support. This study used a factor-cluster analysis to segment a university population, to understand current levels of support toward transportation investments, and seek out important allies to endorse public and active transportation projects. The results of the study reveal five clusters of individuals with varying opinions toward transportation investments and distinct motivations. Strong advocates are the greatest allies for promoting public and active transportation investments. They support financing public and active transportation projects, and are well positioned to endorse the necessity and advantages of such investments. Highway and transit funders are motivated by their dissatisfaction with the current transportation system. Cycling advocates are valuable in publicizing the benefits of expanding the bicycle network. Infrequent commuters do not travel to the university as often as the other groups, and are supportive of transportation investments in general. Despite the overall positive opinion toward investing in public and active transportation projects, there is a minority of funding opponents who are generally against financing transportation projects. The results of this study will be helpful for policy makers intending to communicate the benefits of transportation projects to various community groups.

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41

Skipper, Michael, and Leslie A. Meehan. "Responding to the Call: Incorporating Physical Activity and Health Outcomes in Regional Transportation Planning." Kinesiology Review 1, no. 1 (February 2012): 100–106. http://dx.doi.org/10.1123/krj.1.1.100.

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Active transportation refers to modes of travel that incorporate physical activity as part of the trip. Examples include walking and bicycling, as well as transit, since walking or bicycling is typically required for transit station access and egress. The Nashville Area Metropolitan Planning Organization has recently restructured its regional transportation policies and programming priorities as part of the development of the 2035 Regional Transportation Plan to enable more active transportation by encouraging the implementation of infrastructure such as sidewalks, bikeways, and transit. The result is a significant increase in the number of federally-funded transportation projects in the greater Nashville region that provide opportunities for active transportation trips.

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42

Van Kann, D. H. H., S. P. J. Kremers, S. I. de Vries, N. K. de Vries, and M. W. J. Jansen. "Parental Active Transportation Routines (PATRns) as a Moderator of the Association Between Neighborhood Characteristics and Parental Influences and Active School Transportation." Environment and Behavior 48, no. 7 (March 10, 2015): 946–65. http://dx.doi.org/10.1177/0013916515574548.

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43

Dehghanmongabadi, Abolfazl, and Şebnem Hoşkara. "Determinative Variables Toward Promoting Use of Active Modes of Transportation: Enhancing Level of Sustainable Mobility in Communities." SAGE Open 10, no. 3 (July 2020): 215824402096111. http://dx.doi.org/10.1177/2158244020961118.

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Most current transportation systems around the world are cause for pressing concern and a menace to sustainability of social justice, and economic and environmental vitality. From a universal agreement that transportation needs an urgent alteration in travel modes, policies, planning, and behaviors through to the emergence of sustainability in the transportation sector, a significant and central vision has emerged to guide urban policymakers, transportation planners, and public health officials. During the last four decades, a shift in transportation modes toward use of active modes of transportation has been encouraged, and it is one of the main sustainability movements appearing in many developing and developed countries. This research provides a narrative review and parsing of existing literature, which focuses on promoting active modes of transportation. The aim is to clarify key determinative variables that must be considered by planners and policymakers toward promoting use of active modes of transportation for daily mobility.

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44

Dehghanmongabadi, Abolfazl, and Şebnem Hoşkara. "Challenges of Promoting Sustainable Mobility on University Campuses: The Case of Eastern Mediterranean University." Sustainability 10, no. 12 (December 18, 2018): 4842. http://dx.doi.org/10.3390/su10124842.

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Universities have the extraordinary ability to generate awareness regarding all aspects of sustainability in communities. To be successful, they must first adopt and model sustainable concepts within their own campuses. Transportation is one of the most affective sectors on the level of sustainability on university campuses. In recent decades, numerous universities around the world have begun encouraging usage of active modes of transportation through various strategies. This research has a multi-faceted approach to researching proven strategies, sampling local conditions, and making context-driven recommendations. The literature review outlines the most effective strategies related to Transportation Demand Management (TDM) for promoting usage of active modes of transportation inside university campuses. After that, the condition of existing facilities and strategies as well as commuters’ propensities related to active modes of transportation in the Eastern Mediterranean University (EMU) campus are evaluated using both qualitative and quantitative methods. The results include a set of recommendations and a framework for administrating, implementing, and enhancing a sustainable transportation system thereby increasing the commuter’s use of sustainable active modes of transportation to, from, and within the university campus.

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45

Fulton, Janet E., Jessica L. Shisler, Michelle M. Yore, and Carl J. Caspersen. "Active Transportation to School: Findings From a National Survey." Research Quarterly for Exercise and Sport 76, no. 3 (September 1, 2005): 352–57. http://dx.doi.org/10.5641/027013605x13080719840997.

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46

Sauvage-Mar, Claire, Patti-Jean Naylor, Joan Wharf Higgins, and Helen VonBuchholz. "Way2Go! Social marketing for girls' active transportation to school." Preventive Medicine Reports 14 (June 2019): 100828. http://dx.doi.org/10.1016/j.pmedr.2019.100828.

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47

Mueller, Natalie, David Rojas-Rueda, Tom Cole-Hunter, Audrey de Nazelle, Evi Dons, Regine Gerike, Thomas Götschi, Luc Int Panis, Sonja Kahlmeier, and Mark Nieuwenhuijsen. "Health impact assessment of active transportation: A systematic review." Preventive Medicine 76 (July 2015): 103–14. http://dx.doi.org/10.1016/j.ypmed.2015.04.010.

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48

Dowling, Richard, Richard Margiotta, Harry Cohen, Alexander Skabardonis, and Aaron Elias. "Methodology to Evaluate Active Transportation and Demand Management Strategies." Procedia - Social and Behavioral Sciences 16 (2011): 751–61. http://dx.doi.org/10.1016/j.sbspro.2011.04.494.

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49

Whitcomb, Erika Rincon, Tony Dang, and Veronica Garibay. "Breaking the Cycle: Embedding Equity in Active Transportation Planning." Journal of Transport & Health 3, no. 2 (June 2016): S26—S27. http://dx.doi.org/10.1016/j.jth.2016.05.068.

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50

Yngve, Leah, Kirsten Beyer, Kristen Malecki, and Laura Jackson. "The Association Between Green Neighborhood Environments and Active Transportation." Journal of Transport & Health 3, no. 2 (June 2016): S43—S44. http://dx.doi.org/10.1016/j.jth.2016.05.096.

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