Technical Papers
Aug 25, 2022

Measuring the Built Walking Environment through Image Calibration Using a Hybrid Audit Approach

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 11

Abstract

The built environment (BE) influences active travel, and therefore it is studied by researchers in various fields, including transportation and health sciences. Thus a reliable and quantitative estimate of the built environment is desirable. Existing BE audit tools capture such data qualitatively and may not apply to urban contexts in which a large majority of the street does not contain any sidewalk or footpath. This study developed a BE audit measurement process with the hybrid approach of conducting surveys physically as well as virtually. Ten physical auditors captured the built walking environment in 65 links of Varanasi, India using video cameras. Subsequently, these videos were processed by three independent desktop observers using open-source image calibration software. Results from the extracted BE features indicate that the audit process was able to capture a wide variety of pedestrian features and the variation in the features across various land-use contexts. Extensive interrater and intrarater reliability testing of the extracted data showed an average value of both interclass correlation (ICC) and Fleiss’ kappa score over 0.8, indicating a substantial degree of agreement among the raters of the audit process. This confirmed that the audit process was highly reliable. It also was affirmed that the audit process can be administered by nontechnical surveyors, provided that proper training is given beforehand.

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Data Availability Statement

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study is funded under the Uchhatar Avishkar Yojana (UAY) scheme. The Ministry of Education (MoE), Government of India, Vikram Solar Pvt. Ltd., and GMR Airport Developers Ltd. supported the study. This research work was carried out as a part of the lead author’s doctoral studies at Ranbir and Chitra Gupta School of Infrastructure Design and Management, Indian Institute of Technology Kharagpur.

References

Aghaabbasi, M., M. Moeinaddini, M. Z. Shah, and Z. Asadi-Shekari. 2018. “Addressing issues in the use of Google tools for assessing pedestrian built environments.” J. Transp. Geogr. 73 (Apr): 185–198. https://doi.org/10.1016/j.jtrangeo.2018.10.004.
Badland, H. M., S. Opit, K. Witten, R. A. Kearns, and S. Mavoa. 2010. “Can virtual streetscape audits reliably replace physical streetscape audits?” J. Urban Health 87 (6): 1007–1016. https://doi.org/10.1007/s11524-010-9505-x.
Bansal, V., S. Bansal, and J. Sen. 2020. “Assessing the role of urban design in a rapidly urbanizing historical city.” In Urban ecology: Emerging patterns and social-ecological systems, edited by P. Verma, P. Singh, R. Singh, and A. S. Raghubanshi, 413–434. Amsterdam, Netherlands: Elsevier.
Bivina, G. R., A. Gupta, and M. Parida. 2019. “Influence of microscale environmental factors on perceived walk accessibility to metro stations.” Transp. Res. Part D Transp. Environ. 67 (Feb): 142–155. https://doi.org/10.1016/j.trd.2018.11.007.
Boarnet, M. G., K. Day, M. Alfonzo, A. Forsyth, and M. Oakes. 2006. “The Irvine–Minnesota inventory to measure built environments: Reliability tests.” Am. J. Preventive Med. 30 (2): 153–159. https://doi.org/10.1016/j.amepre.2005.09.018.
Central Road Research Institute. 2018. Indian highway capacity manual (Indo-HCM). New Delhi, India: Central Road Research Institute.
Chin, G. K. W., K. P. Van Niel, B. Giles-Corti, and M. Knuiman. 2008. “Accessibility and connectivity in physical activity studies: The impact of missing pedestrian data.” Preventive Med. 46 (1): 41–45. https://doi.org/10.1016/j.ypmed.2007.08.004.
Choi, J., S. Kim, D. Min, D. Lee, and S. Kim. 2016. “Human-centered designs, characteristics of urban streets, and pedestrian perceptions.” J. Adv. Transp. 50 (1): 120–137. https://doi.org/10.1002/atr.1323.
Chudyk, A. M., M. Winters, E. Gorman, H. A. McKay, and M. C. Ashe. 2014. “Agreement between virtual and in-the-field environment audits of assisted living sites.” J. Aging Phys. Act. 22 (3): 414–420. https://doi.org/10.1123/JAPA.2013-0047.
Clark, A. F., D. M. Scott, and N. Yiannakoulias. 2014. “Examining the relationship between active travel, weather, and the built environment: A multilevel approach using a GPS-enhanced dataset.” Transportation 41 (2): 325–338. https://doi.org/10.1007/s11116-013-9476-3.
Clifton, K. J., A. D. Livi Smith, and D. Rodriguez. 2007. “The development and testing of an audit for the pedestrian environment.” Landscape Urban Plann. 80 (1–2): 95–110. https://doi.org/10.1016/j.landurbplan.2006.06.008.
Crisil Infrastructure Advisory. 2015. City development plan for Varanasi, 2041. Varanasi, India: Crisil Infrastructure Advisory.
Day, K., M. Boarnet, M. Alfonzo, and A. Forsyth. 2006. “The Irvine–Minnesota inventory to measure built environments: Development.” Am. J. Preventive Med. 30 (2): 144–152. https://doi.org/10.1016/j.amepre.2005.09.017.
de Montigny, L., R. Ling, and J. Zacharias. 2012. “The effects of weather on walking rates in nine cities.” Environ. Behav. 44 (6): 821–840. https://doi.org/10.1177%2F0013916511409033.
Dill, J. 2004. “Measuring network connectivity for bicycling and walking.” In Proc., 83rd Annual Meeting of the Transportation, 11–15. Washington, DC: Transportation Research Board.
Ernst & Young. 2016. “Small cities are India’s emerging business locations.” Forbes India. Accessed March 17, 2016. https://www.forbesindia.com/blog/economy-policy/small-cities-are-indias-emerging-business-locations/.
Ewing, R., and R. Cervero. 2001. “Travel and the built environment: A synthesis.” Transp. Res. Rec. 1780 (1): 87–114. https://doi.org/10.3141/1780-10.
Ewing, R., and R. Cervero. 2010. “Travel and the built environment: A meta-analysis.” J. Am. Plann. Assoc. 76 (3): 265–294. https://doi.org/10.1080/01944361003766766.
Fleiss, J. L. 1986. The design and analysis of clinical experiments. New York: Wiley.
Ganesha, H. R., P. S. Aithal, and P. Kirubadevi. 2020. “Consumer affordability in tier-1, tier-2 and tier-3 cities of India—An empirical study.” Int. J. Appl. Eng. Manage. Lett. 4 (4): 156–171. https://doi.org/10.5281/zenodo.3822509.
Gil, J., T. Varoudis, K. Karimi, and A. Penn. 2015. “The space syntax toolkit: Integrating depthmapX and exploratory spatial analysis workflows in QGIS.” In Proc., 10th Int. Space Syntax Symp. (SSS10), edited by K. Karimi, L. Vaughan, K. Sailer, G. Palaiologou, and T. Bolton. London: Space Syntax Laboratory, The Bartlett School of Architecture, Univ. College London.
Gong, J., H. Zhou, C. Gordon, and M. Jalayer. 2012. “Mobile terrestrial laser scanning for highway inventory data collection.” In Proc., Int. Conf. on Computing in Civil Engineering, 545–552. Reston, VA: ASCE. https://doi.org/10.1061/9780784412343.0069.
Griew, P., M. Hillsdon, C. Foster, E. Coombes, A. Jones, and P. Wilkinson. 2013. “Developing and testing a street audit tool using google street view to measure environmental supportiveness for physical activity.” Int. J. Behav. Nutr. Phys. Act. 10 (103): 1–7. https://doi.org/10.1186/1479-5868-10-103.
Gullón, P., H. M. Badland, S. Alfayate, U. Bilal, F. Escobar, A. Cebrecos, J. Diez, and M. Franco. 2015. “Assessing walking and cycling environments in the streets of Madrid: Comparing on-field and virtual audits.” J. Urban Health 92 (5): 923–939. https://doi.org/10.1007/s11524-015-9982-z.
Hajrasouliha, A., and L. Yin. 2015. “The impact of street network connectivity on pedestrian volume.” Urban Stud. 52 (13): 2483–2497. https://doi.org/10.1177/0042098014544763.
Helbich, M., M. J. Z. van Emmichoven, M. J. Dijst, M. P. Kwan, F. H. Pierik, and S. I. de Vries. 2016. “Natural and built environmental exposures on children’s active school travel: A Dutch global positioning system-based cross-sectional study.” Health Place 39 (May): 101–109. https://doi.org/10.1016/j.healthplace.2016.03.003.
Hillier, B., A. Penn, T. Grajewski, and J. Xu. 1993. “Natural movement: Or, configuration and attraction in urban pedestrian movement.” Environ. Plann. B: Plann. Des. 20 (1): 29–66. https://doi.org/10.1068/b200029.
Hillier, B., T. Yang, and A. Turner. 2012. “Normalising least angle choice in Depthmap and it opens up new perspectives on the global and local analysis of city space.” J. Space Syntax 3 (2): 155–193.
Hirsch, J. A., K. A. Moore, P. J. Clarke, D. A. Rodriguez, K. R. Evenson, S. J. Brines, M. A. Zagorski, and A. V. D. Roux. 2014. “Changes in the built environment and changes in the amount of walking over time: Longitudinal results from the multi-ethnic study of atherosclerosis.” Am. J. Epidemiol. 180 (8): 799–809. https://doi.org/10.1093/aje/kwu218.
India Census. 2022. “Varanasi city population.” Accessed April 23, 2022. https://www.indiacensus.net/city/varanasi.
Jensen, S. U. 2007. “Pedestrian and bicyclist level of service on roadway segments.” Transp. Res. Rec. 2031 (1): 43–51. https://doi.org/10.3141/2031-06.
Karatas, P., and H. Tuydes-Yaman. 2018. “Variability in sidewalk pedestrian level of service measures and rating.” J. Urban Plann. Dev. 144 (4): 04018042. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000483.
Khan, F. M., M. Jawaid, H. Chotani, and S. Luby. 1999. “Pedestrian environment and behavior in Karachi, Pakistan.” Accid. Anal. Prev. 31 (4): 335–339. https://doi.org/10.1016/S0001-4575(98)00075-X.
Khan, G., K. R. Santiago-Chaparro, M. Chiturri, and D. A. Noyce. 2010. “Development of data collection and integration framework for road inventory data.” Transp. Res. Rec. 2160 (1): 29–39. https://doi.org/10.3141/2160-04.
Kim, T., D.-W. Sohn, and S. Choo. 2017. “An analysis of the relationship between pedestrian traffic volumes and built environment around metro stations in Seoul.” KSCE J. Civ. Eng. 21 (4): 1443–1452. https://doi.org/10.1007/s12205-016-0915-5.
Lakhotia, S., K. R. Rao, and G. Tiwari. 2019. “Accessibility of bus stops for pedestrians in Delhi.” J. Urban Plann. Dev. 145 (4): 05019015. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000525.
Landis, J. R., and G. G. Koch. 1977. “The measurement of observer agreement for categorical data.” Biometrics 33 (1): 159. https://doi.org/10.2307/2529310.
Maghelal, P. K., and C. J. Capp. 2011. “Walkability: A review of existing pedestrian indices.” J. Urban Reg. Inf. Syst. Assoc. 23 (2): 5–19.
Mandrekar, J. N. 2011. “Measures of interrater agreement.” J. Thoracic Oncol. 6 (1): 6–7. https://doi.org/10.1097/JTO.0b013e318200f983.
Millington, C., C. Ward Thompson, D. Rowe, P. Aspinall, C. Fitzsimons, N. Nelson, and N. Mutrie. 2009. “Development of the Scottish Walkability Assessment tool (SWAT).” Health Place 15 (2): 474–481. https://doi.org/10.1016/j.healthplace.2008.09.007.
Mori, M., and H. Tsukaguchi. 1987. “A new method for evaluation of level of service in pedestrian facilities.” Transp. Res. Part A General 21 (3): 223–234. https://doi.org/10.1016/0191-2607(87)90016-1.
Moudon, A. V., and C. Lee. 2003. “Walking and bicycling: An evaluation of environmental audit instruments.” Am. J. Health Promot. 18 (1): 21–37. https://doi.org/10.4278/0890-1171-18.1.21.
Munshi, T. 2016. “Built environment and mode choice relationship for commute travel in the city of Rajkot, India.” Transp. Res. Part D Transp. Environ. 44 (May): 239–253. https://doi.org/10.1016/j.trd.2015.12.005.
Nag, D., E. Bhaduri, G. P. Kumar, and A. K. Goswami. 2020a. “Assessment of relationships between user satisfaction, physical environment, and user behaviour in pedestrian infrastructure.” Transp. Res. Procedia 48 (Sep): 2343–2363. https://doi.org/10.1016/j.trpro.2020.08.284.
Nag, D., A. K. Goswami, A. Gupta, and J. Sen. 2020b. “Assessing urban sidewalk networks based on three constructs: A synthesis of pedestrian level of service literature.” Transp. Rev. 40 (2): 204–240. https://doi.org/10.1080/01441647.2019.1703841.
Nguyen, Q. C., et al. 2019. “Using Google Street View to examine associations between built environment characteristics and U.S. health outcomes.” Preventive Med. Rep. 14 (Apr): 100859. https://doi.org/10.1016/j.pmedr.2019.100859.
Olsen, J. R., L. Macdonald, and A. Ellaway. 2017. “Changes over time in population level transport satisfaction and mode of travel: A 13 year repeat cross-sectional study, UK.” J. Transp. Health 6 (Feb): 366–378. https://doi.org/10.1016/j.jth.2017.03.012.
Pal, P., and P. Rahate. 2018. “Open spaces development—As a parameter for sustainable, smart city.” Accessed May 22, 2018. https://ssrn.com/abstract=3236675.
Panter, J., E. Heinen, R. Mackett, and D. Ogilvie. 2016. “Impact of new transport infrastructure on walking, cycling, and physical activity.” Am. J. Preventive Med. 50 (2): 45–53. https://doi.org/10.1016/j.amepre.2015.09.021.
Petritsch, T. A., B. W. Landis, P. S. Mcleod, H. F. Huang, S. Challa, C. L. Skaggs, M. Guttenplan, and V. Vattikuti. 2006. “Pedestrian level-of-service model for urban arterial facilities with sidewalks.” Transp. Res. Rec. 1982 (1): 84–89. https://doi.org/10.1177/0361198106198200111.
Pikora, T. J., F. C. L. Bull, K. Jamrozik, M. Knuiman, B. Giles-Corti, and R. J. Donovan. 2002. “Developing a reliable audit instrument to measure the physical environment for physical activity.” Am. J. Preventive Med. 23 (3): 187–194. https://doi.org/10.1016/S0749-3797(02)00498-1.
Pu, S., M. Rutzinger, G. Vosselman, and S. Oude Elberink. 2011. “Recognizing basic structures from mobile laser scanning data for road inventory studies.” ISPRS J. Photogramm. Remote Sens. 66 (6): S28–S39. https://doi.org/10.1016/j.isprsjprs.2011.08.006.
Raad, N., and M. I. Burke. 2018. “What are the most important factors for pedestrian level-of-service estimation? A systematic review of the literature.” Transp. Res. Rec. 2672 (35): 101–117. https://doi.org/10.1177/0361198118790623.
Rajkumar, R. V. 2020. “Indirect estimation of the step length of walking and running performances on the treadmill.” Int. J. Physiother. Res. 8 (2): 3407–3414. https://doi.org/10.16965/ijpr.2020.110.
Rodriguez-Valencia, A., G. A. Barrero, H. A. Ortiz-Ramirez, and J. A. Vallejo-Borda. 2020. “Power of user perception on pedestrian quality of service.” Transp. Res. Rec. 2674 (5): 250–258. https://doi.org/10.1177/0361198120914611.
Schlager, A., K. Ahlqvist, E. Rasmussen-Barr, E. K. Bjelland, R. Pingel, C. Olsson, L. Nilsson-Wikmar, and P. Kristiansson. 2018. “Inter- and intra-rater reliability for measurement of range of motion in joints included in three hypermobility assessment methods.” BMC Musculoskeletal Disord. 19 (1): 1–10. https://doi.org/10.1186/s12891-018-2290-5.
Sharmin, S., and M. Kamruzzaman. 2018. “Meta-analysis of the relationships between space syntax measures and pedestrian movement.” Transp. Rev. 38 (4): 524–550. https://doi.org/10.1080/01441647.2017.1365101.
Shatu, F., and T. Yigitcanlar. 2018. “Development and validity of a virtual street walkability audit tool for pedestrian route choice analysis—SWATCH.” J. Transp. Geogr. 70 (Jun): 148–160. https://doi.org/10.1016/j.jtrangeo.2018.06.004.
Silva, V., A. J. Grande, C. R. Rech, and M. S. Peccin. 2015. “Geoprocessing via Google Maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: Validity and reliability.” J. Healthcare Eng. 6 (1): 41–54. https://doi.org/10.1260/2040-2295.6.1.41.
Singh, N., P. Parida, M. Advani, and R. Gujar. 2016. “Human ellipse of Indian pedestrians.” Transp. Res. Procedia 15 (Jan): 150–160. https://doi.org/10.1016/j.trpro.2016.06.013.
Singh, R. P. B. 2016. “Urban heritage and planning in India: A study of Banaras.” In Spatial diversity and dynamics in resources and urban development: Vol. II-urban development, edited by A. K. Dutt, A. G. Noble, F. G. Costa, and S. K. Thakur, 423–449. New York: Springer.
Singh, R. P. B., and N. Pal. 2012. “Varanasi: Master plans and perspectives of heritagescapes.” In Holistic development: A regional perspective, edited by K. N. Singh and N. K. Rana, 97–115. New Delhi, India: Radha.
Steinmetz-Wood, M., K. Velauthapillai, G. O’Brien, and N. A. Ross. 2019. “Assessing the micro-scale environment using Google Street View: The virtual systematic tool for evaluating pedestrian streetscapes (virtual-STEPS).” BMC Public Health 19 (1): 1–11. https://doi.org/10.1186/s12889-019-7460-3.
Sun, G., N. M. Oreskovic, and H. Lin. 2014. “How do changes to the built environment influence walking behaviors? A longitudinal study within a university campus in Hong Kong.” Int. J. Health Geogr. 13 (28): 1–10. https://doi.org/10.1186/1476-072X-13-28.
Tal, G., and S. Handy. 2012. “Measuring nonmotorized accessibility and connectivity in a robust pedestrian network.” Transp. Res. Rec. 2299 (1): 48–56. https://doi.org/10.3141/2299-06.
Transportation Research Board. 2010. Highway capacity manual 2010. Washington, DC: Transportation Research Board.
Troped, P. J., E. K. Cromley, M. S. Fragala, S. J. Melly, H. H. Hasbrouck, S. L. Gortmaker, and R. C. Brownson. 2016. “Development and reliability and validity testing of an audit tool for trail/path characteristics: The path environment audit tool (PEAT).” Supplement, J. Phys. Act. Health 3 (S1): S158–S175. https://doi.org/10.1123/jpah.3.s1.s158.
Turner, A. 2004. Depthmap 4: A researcher’s handbook. London: Univ. College London.
Ujjwal, J., and R. Bandyopadhyaya. 2021. “Development of pedestrian level of service assessment guidelines for mixed land use areas considering quality of service parameters.” Transp. Dev. Econ. 7 (1): 1–11. https://doi.org/10.1007/s40890-021-00113-8.
Vallejo-Borda, J. A., H. A. Ortiz-Ramirez, A. Rodriguez-Valencia, R. Hurtubia, and J. Ortuzar. 2020. “Forecasting the quality of service of Bogota’s sidewalks from pedestrian perceptions: An ordered probit MIMIC approach.” Transp. Res. Rec. 2674 (1): 205–216. https://doi.org/10.1177/0361198119896782.
Wilson, J. S., C. M. Kelly, M. Schootman, E. A. Baker, A. Banerjee, M. Clennin, and D. K. Miller. 2012. “Assessing the built environment using omnidirectional imagery.” Am. J. Preventive Med. 42 (2): 193–199. https://doi.org/10.1016/j.amepre.2011.09.029.
Yamu, C., A. van Nes, and C. Garau. 2021. “Bill Hillier’s legacy: Space syntax—A synopsis of basic concepts, measures, and empirical application.” Sustainability 13 (6): 3394. https://doi.org/10.3390/su13063394.
Zainol, R., F. Ahmad, N. A. Nordin, and A. W. M. Aripin. 2014. “Evaluation of users’ satisfaction on pedestrian facilities using pair-wise comparison approach.” IOP Conf. Ser.: Earth Environ. Sci. 18 (1): 012175. https://doi.org/10.1088/1755-1315/18/1/012175.
Zhu, W., Y. Sun, J. Kurka, C. Geremia, J. K. Engelberg, K. Cain, T. Conway, J. F. Sallis, S. P. Hooker, and M. A. Adams. 2017. “Reliability between online raters with varying familiarities of a region: Microscale audit of pedestrian streetscapes (MAPS).” Landscape Urban Plann. 167 (July): 240–248. https://doi.org/10.1016/j.landurbplan.2017.06.014.

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Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 11November 2022

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Received: Feb 2, 2022
Accepted: Jun 10, 2022
Published online: Aug 25, 2022
Published in print: Nov 1, 2022
Discussion open until: Jan 25, 2023

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Programme Officer, Sustainable Mobility, Centre for Science and Environment, New Delhi 110062, India (corresponding author). ORCID: https://orcid.org/0000-0002-1192-2161. Email: [email protected]
Assistant Professor, Ranbir and Chitra Gupta School of Infrastructure Design and Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India. ORCID: https://orcid.org/0000-0003-1369-215X. Email: [email protected]

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