Micro-scale built environment and pedestrian behavior: A focus on sidewalks in commercial districts in Tokyo

Yuhan Gao , Da Du , Nobuaki Furuya

Front. Archit. Res. ›› 2025, Vol. 14 ›› Issue (2) : 416 -428.

PDF (3639KB)
Front. Archit. Res. ›› 2025, Vol. 14 ›› Issue (2) : 416 -428. DOI: 10.1016/j.foar.2024.08.008
RESEARCH ARTICLE

Micro-scale built environment and pedestrian behavior: A focus on sidewalks in commercial districts in Tokyo

Author information +
History +
PDF (3639KB)

Abstract

Sidewalks play an indispensable role in creating walkable environments. In commercial districts, sidewalks increase connectivity and can enhance pedestrian volume, which promotes commerce. While past research has explored commercial factors affecting pedestrian behavior on sidewalks, few studies have explored the effects of architectural factors. This study centers on two sidewalks in commercial districts in Tokyo as a case study, seeking to elucidate the relationship between micro-scale built environment factors and pedestrian behavior. Nineteen factors are analyzed in relation to pedestrian volume and staying. Correlation analysis reveals that pedestrian volume and staying are significantly correlated with seven and six built environment factors, respectively. Stepwise multiple linear regression further reveals that pedestrian volume is positively correlated with passable width, W/D, and movable greening, while being negatively correlated with flagship. Staying, conversely, is positively correlated with passable width, sky rate, and D/H. Based on these identified relationships, a predictive model is established for pedestrian volumes in sidewalks in commercial districts. The findings of this study may provide workable insights for decision-makers aiming to establish walkable environments and encouraging pedestrian activity and may aid in developing detailed plans based on specific factors influencing pedestrian behavior.

Keywords

Built environment / Pedestrian behavior / Sidewalk / Walkability / Stepwise regression

Cite this article

Download citation ▾
Yuhan Gao, Da Du, Nobuaki Furuya. Micro-scale built environment and pedestrian behavior: A focus on sidewalks in commercial districts in Tokyo. Front. Archit. Res., 2025, 14(2): 416-428 DOI:10.1016/j.foar.2024.08.008

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Akpinar, A. , 2016. Factors influencing the use of urban greenways: a case study of aydın, Turkey. Urban For. Urban Green. 16, 123- 131.

[2]

Al-Azzawi, M. , Raeside, R. , 2007. Modeling pedestrian walking speeds on sidewalks. J. Urban Plann. Dev. 133 (3), 211- 219.

[3]

Anciaes, P.R. , Nascimento, J. , Silva, S. , 2017. The distribution of walkability in an african city: praia, cabo verde. Cities 67, 9- 20.

[4]

Ashihara, Y. , 1983. The Aesthetic Townscape. MIT Press.

[5]

Bae, C.-H.C. , Jun, M.-J. , Park, H. , 2003. The impact of Seoul's subway line 5 on residential property values. Transport Pol. 10 (2), 85- 94.

[6]

Basu, N. , Oviedo-Trespalacios, O. , King, M. , Kamruzzaman, M. , Haque, M.M. , 2023. What do pedestrians consider when choosing a route? The role of safety, security, and attractiveness perceptions and the built environment during day and night walking. Cities 143, 104551.

[7]

Blanck, M. , Ribeiro, J.L. , 2021. Smart cities financing system: an empirical modelling from the European context. Cities 116, 103268.

[8]

Cervero, R. , Duncan, M. , 2002. Transit's value-added effects:light and commuter rail services and commercial land values. Transport. Res. Rec.: J. Transport. Res. Board 1805 (1), 8- 15.

[9]

Cervero, R. , Kockelman, K. , 1997. Travel demand and the 3DS: density, diversity, and design. Transport. Res. Transport Environ. 2 (3), 199- 219.

[10]

Chandrabose, M. , Cerin, E. , Mavoa, S. , Dunstan, D. , Carver, A. , Turrell, G. , Owen, N. , Giles-Corti, B. , Sugiyama, T. , 2019. Neighborhood Walkability and 12-year changes in cardiometabolic risk: the mediating role of physical activity. Int. J. Behav. Nutr. Phys. Activ. 16 (1).

[11]

Chen, L. , Lu, Y. , Ye, Y. , Xiao, Y. , Yang, L. , 2022. Examining the association between the built environment and pedestrian volume using Street View Images. Cities 127, 103734.

[12]

Cohen, P. , Cohen, P. , West, S.G. , Aiken, L.S. , 2014. Applied multiple regression/correlation analysis for the behavioral sciences.

[13]

COVID-19 Special Exception for Road Occupancy , 2023. Ministry of land, infrastructure, transport and tourism.

[14]

Creating safety, security and activity in road space , 2021. Ministry of land, infrastructure, transport and tourism.

[15]

Creatore, M.I. , Glazier, R.H. , Moineddin, R. , Fazli, G.S. , Johns, A. , Gozdyra, P. , Matheson, F.I. , Kaufman-Shriqui, V. , Rosella, L.C. , Manuel, D.G. , Booth, G.L. , 2016. Association of neighborhood walkability with change in overweight, obesity, and diabetes. JAMA 315 (20), 2211.

[16]

Du, D. , Gao, Y. , Zhang, W. , Wang, X. , Furuya, N. , 2024. Correlation between spatial characteristics and overflow rate of back alleys in high-density city of Hong Kong. Japan Architect. Rev. 7 (1).

[17]

Ellis, G. , Hunter, R. , Tully, M.A. , Donnelly, M. , Kelleher, L. , Kee, F. , 2015. Connectivity and physical activity: using footpath networks to measure the walkability of built environments. Environ. Plann. Plann. Des. 43 (1), 130- 151.

[18]

Escudero-Gómez, L.A. , García-González, J.A. , Martínez-Navarro, J.M. , 2023. What is happening in shrinking mediumsized cities? A correlational analysis and a multiple linear regression model on the case of Spain. Cities 134, 104205.

[19]

Ewing, R. , Cervero, R. , 2010. Travel and the built environment. J. Am. Plann. Assoc. 76 (3), 265- 294.

[20]

Ewing, R. , Hajrasouliha, A. , Neckerman, K.M. , Purciel-Hill, M. , Greene, W. , 2015. Streetscape features related to pedestrian activity. J. Plann. Educ. Res. 36 (1), 5- 15.

[21]

Farahani, L.M. , Beynon, D. , 2015. Pavement cafes as the activity zone in the social life of neighbourhood centres. Living Learn. Res. A Better Built Environ 193-202.

[22]

Fonseca, F. , Ribeiro, P.J. , Conticelli, E. , Jabbari, M. , Papageorgiou, G. , Tondelli, S. , Ramos, R.A. , 2021. Built environment attributes and their influence on walkability. Int. J. Sust. Trans. 16 (7), 660- 679.

[23]

Frank, L.D. , Andresen, M.A. , Schmid, T.L. , 2004. Obesity relationships with community design, physical activity, and time spent in cars. Am. J. Prev. Med. 27 (2), 87- 96.

[24]

Frank, L.D. , Schmid, T.L. , Sallis, J.F. , Chapman, J. , Saelens, B.E. , 2005. Linking objectively measured physical activity with objectively measured urban form. Am. J. Prev. Med. 28 (2), 117- 125.

[25]

Gaglione, F. , Gargiulo, C. , Zucaro, F. , 2022. Where can the elderly walk? A spatial multi-criteria method to increase urban pedestrian accessibility. Cities 127, 103724.

[26]

Gao, W. , Qian, Y. , Chen, H. , Zhong, Z. , Zhou, M. , Aminpour, F. , 2022. Assessment of sidewalk walkability: integrating objective and subjective measures of identical context-based sidewalk features. Sustain. Cities Soc. 87, 104142.

[27]

Gehl, J. , 2010. Cities for People. Island Press.

[28]

Gehl, J. , 2011. Life between Buildings: Using Public Space. Island Press.

[29]

Gelman, A. , Hill, J. , 2021. Data Analysis Using Regression and Multilevel/hierarchical Models. Cambridge University Press.

[30]

Guo, J.Y. , Gandavarapu, S. , 2010. An economic evaluation of health-promotive built environment changes. Prev. Med. 50.

[31]

Hahm, Y. , Yoon, H. , Choi, Y. , 2019. The effect of built environments on the walking and shopping behaviors of pedestrians; a study with GPS experiment in Sinchon Retail District in Seoul, South Korea. Cities 89, 1- 13.

[32]

Hajrasouliha, A. , Yin, L. , 2014. The impact of Street Network connectivity on pedestrian volume. Urban Stud. 52 (13), 2483- 2497.

[33]

Handy, S. , Cao, X. , Mokhtarian, P.L. , 2006. Self-selection in the relationship between the built environment and walking: empirical evidence from Northern California. J. Am. Plann. Assoc. 72 (1), 55- 74.

[34]

Hassan, D.M. , Moustafa, Y.M. , El-Fiki, S.M. , 2019. Ground-floor façade design and staying activity patterns on the sidewalk: a case study in the Korba area of Heliopolis, Cairo, Egypt. Ain Shams Eng. J. 10 (3), 453- 461.

[35]

Hass-Klau, C. , 2015. The Pedestrian and the City. Routledge.

[36]

Heynen, N. , Perkins, H.A. , Roy, P. , 2006. The political ecology of uneven urban green space. Urban Aff. Rev. 42 (1), 3- 25.

[37]

Hino, K. , Usui, H. , Hanazato, M. , 2020. Three-year longitudinal association between built environmental factors and decline in older adults' step count: gaining insights for age-friendly urban planning and Design. Int. J. Environ. Res. Publ. Health 17 (12), 4247.

[38]

Huston, S.L. , Evenson, K.R. , Bors, P. , Gizlice, Z. , 2003. Neighborhood environment, access to places for activity, and leisuretime physical activity in a diverse North Carolina population. Am. J. Health Promot. 18 (1), 58- 69.

[39]

Im, H.N. , Choi, C.G. , 2018. The hidden side of the entropy-based land-use mix index: clarifying the relationship between pedestrian volume and land-use mix. Urban Stud. 56 (9), 1865- 1881.

[40]

Jacobs, J. , 1965. The Death and Life of Great American Cities. Pelican.

[41]

Jeong, M. , Furuya, N. , 2003. Research on “space character by patency and closing nature of vision in Namsari of Korea” : research on “the evaluation technique of the colony space by Quantificaton of a vision” part 1. J. Architect. Plann. (Transactions of AIJ) 68 (570), 1- 8.

[42]

Kang, C.-D. , 2015. The effects of spatial accessibility and centrality to land use on walking in Seoul, Korea. Cities 46, 94- 103.

[43]

Kim, J.N. , Kim, J.J. , 2019. A study on the price determinants of commercial real estate in Kwang-Ju Metropolis. Residential Environ. Institu. Korea 17 (4), 289- 305.

[44]

Kim, S.H. , Kim, T.H. , Im, H.N. , Choi, C.G. , 2015. Pedestrian volume and built environmental factors on sales of convenience stores, cosmetic shops and coffee shops in Seoul. J Korea Plann. Assoc. 50 (3), 299.

[45]

Kim, S. , Park, S. , Lee, J.S. , 2014. Meso- or micro-scale? environmental factors influencing pedestrian satisfaction. Transport. Res. Transport Environ. 30, 10- 20.

[46]

Kwon, G.-Y. , Kim, H.-K. , 2019. A study on the price determinants of small and medium-size commercial buildings in Ulsan Metropolitan City. Konkuk Research Institute of Real Estate and Urban Studies 12 (1), 45- 70.

[47]

Lamour, Q. , Morelli, A.M. , Marins, K.R. , 2019. Improving walkability in a tod context: spatial strategies that enhance walking in the Belém neighbourhood, in São Paulo, Brazil. Case Studies on Transport Policy 7 (2), 280- 292.

[48]

Lee, B.J. , Jang, T.Y. , Wang, W. , Namgung, M. , 2009. Design criteria for an urban sidewalk landscape considering emotional perception. J. Urban Plann. Dev. 135 (4), 133- 140.

[49]

Lee, D.K. , 2020. Data transformation: a focus on the interpretation. Korean J Anesthesiology 73 (6), 503- 508.

[50]

Li, Y. , Li, M. , Xu, Y. , Tao, J. , 2024. “Interface-element-perception” model to evaluation of urban sidewalk visual landscape in the core area of Beijing. Front. Arch. Res. 13 (5), 960- 977.

[51]

Litman, T.A. , 2003. Economic value of walkability. Transport. Res. Rec.: J. Transport. Res. Board 1828 (1), 3- 11.

[52]

Liu, J. , Ettema, D. , Helbich, M. , 2023. Street View Environments are associated with the walking duration of pedestrians: the case of Amsterdam, The Netherlands. Landsc. Urban Plann. 235, 104752.

[53]

Lovasi, G.S. , Jacobson, J.S. , Quinn, J.W. , Neckerman, K.M. , Ashby-Thompson, M.N. , Rundle, A. , 2011. Is the environment near home and school associated with physical activity and adiposity of urban preschool children? J. Urban Health 88 (6), 1143- 1157.

[54]

Lu, Y. , Sarkar, C. , Xiao, Y. , 2018. The effect of street-level greenery on walking behavior: evidence from Hong Kong. Soc. Sci. Med. 208, 41- 49.

[55]

Lusk, A.C. , da Silva Filho, D.F. , Dobbert, L. , 2020. Pedestrian and cyclist preferences for tree locations by sidewalks and cycle tracks and associated benefits: worldwide implications from a study in Boston, MA. Cities 106, 102111.

[56]

Ma, X. , Chau, C.K. , Lai, J.H. , 2021. Critical factors influencing the comfort evaluation for recreational walking in Urban Street Environments. Cities 116, 103286.

[57]

Mehta, V. , 2007. Lively streets. J. Plann. Educ. Res. 27 (2), 165- 187.

[58]

Mehta, V. , 2009. Look closely and you will see, listen carefully and you will hear: urban Design and social interaction on streets. J. Urban Des. 14 (1), 29- 64.

[59]

Mikita, T. , Krausková, D. , Hrůza, P. , Cibulka, M. , Patočka, Z. , 2022. Forest road wearing course damage assessment possibilities with different types of laser scanning methods including new iPhone LIDAR Scanning Apps. Forests 13 (11), 1763.

[60]

Moreira, L.S. , Leão, A.L. , Urbano, M.R. , Kanashiro, M. , 2021. Microescala, Movimento de pedestres e níveis socioeconômicos: Um Estudo Empírico. Arquiteturarevista 17 (1), 17- 29.

[61]

Muhammad Ali, P.J. , 2022. Investigating the impact of min-max data normalization on the regression performance of K-nearest neighbor with different similarity measurements. Aro-The Scientific J. Koya University 10 (1), 85- 91.

[62]

Nagata, S. , Nakaya, T. , Hanibuchi, T. , Amagasa, S. , Kikuchi, H. , Inoue, S. , 2020. Objective scoring of streetscape walkability related to leisure walking: statistical modeling approach with semantic segmentation of google street view images. Health Place 66, 102428.

[63]

Rastogi, R. , Thaniarasu, I. , Chandra, S. , 2011. Design implications of walking speed for pedestrian facilities. J. Transport. Eng. 137 (10), 687- 696.

[64]

Rigolon, A. , Toker, Z. , Gasparian, N. , 2017. Who has more walkable routes to parks? An environmental justice study of safe routes to parks in neighborhoods of Los Angeles. J. Urban Aff. 40 (4), 576- 591.

[65]

Root, E. , Silbernagel, K. , Litt, J. , 2017. Unpacking healthy landscapes: empirical assessment of neighborhood aesthetic ratings in an urban setting. Landsc. Urban Plann. 168, 38- 47.

[66]

Saelens, B.E. , Handy, S.L. , 2008. Built environment correlates of walking. Med. Sci. Sports Exerc. 40 (7).

[67]

Said, M. , Abou-Zeid, M. , Kaysi, I. , 2017. Modeling satisfaction with the walking environment: the case of an Urban University neighborhood in a developing country. J. Urban Plann. Dev. 143 (1).

[68]

Sallis, J.F. , Frank, L.D. , Saelens, B.E. , Kraft, M.K. , 2004. Active transportation and physical activity: opportunities for collaboration on transportation and Public Health Research. Transport. Res. Pol. Pract. 38 (4), 249- 268.

[69]

Sato, A. , Arima, T. , Hagishima, S. , Sakai, T. , 2004. The relationship between the distinctive characteristics of store-front appearance and appeal of Local Shopping Streets. J. Architect Plann.(Trans of AIJ) 69 (582), 87- 93.

[70]

Shin, H.-S. , Woo, A. , 2024. Analyzing the effects of walkable environments on nearby commercial property values based on deep learning approaches. Cities 144, 104628.

[71]

Standards for the general construction of sidewalk , 2005. Ministry of land, infrastructure, transport and tourism.

[72]

Tabatabaie, S. , Litt, J.S. , Muller, B.H. , 2023. Sidewalks, trees and shade matter: a visual landscape assessment approach to understanding people's preferences for walking. Urban For. Urban Green. 84, 127931.

[73]

Taleai, M. , Taheri Amiri, E. , 2017. Spatial multi-criteria and multiscale evaluation of walkability potential at street segment level: a case study of tehran. Sustain. Cities Soc. 31, 37- 50.

[74]

Tamura, K. , Wilson, J.S. , Goldfeld, K. , Puett, R.C. , Klenosky, D.B. , Harper, W.A. , Troped, P.J. , 2019. Accelerometer and GPS data to analyze built environments and physical activity. Res. Q. Exerc. Sport 90 (3), 395- 402.

[75]

Todd, M. , Adams, M.A. , Kurka, J. , Conway, T.L. , Cain, K.L. , Buman, M.P. , Frank, L.D. , Sallis, J.F. , King, A.C. , 2016. GIS-measured walkability, transit, and recreation environments in relation to older adults' physical activity: a latent profile analysis. Prev. Med. 93, 57- 63.

[76]

Tsiompras, A.B. , Photis, Y.N. , 2017. What matters when it comes to “Walk and the city”? Defining a weighted GIS-based walkability index. Transport. Res. Procedia 24, 523- 530.

[77]

Tsuchida, J. , Yokohari, M. , 2001. Effects of streets' attributes on the physical appearance of street restaurants and cafes with open-facade. J. City Plann. Insti.Japan 36 (0), 751- 756.

[78]

Wang, H. , Yang, Y. , 2019. Neighbourhood walkability: a review and bibliometric analysis. Cities 93, 43- 61.

[79]

Woldeamanuel, M. , Kent, A. , 2016. Measuring walk access to transit in terms of sidewalk availability, quality, and connectivity. J. Urban Plann. Dev. 142 (2).

[80]

Yin, L. , Wang, Z. , 2016. Measuring visual enclosure for street walkability: using machine learning algorithms and google street view imagery. Appl. Geogr. 76, 147- 153.

[81]

Yue, W. , Chen, Y. , Thy, P.T. , Fan, P. , Liu, Y. , Zhang, W. , 2021. Identifying urban vitality in metropolitan areas of developing countries from a comparative perspective: Ho Chi Minh City versus Shanghai. Sustain. Cities Soc. 65, 102609.

[82]

Yüksel, A. , 2007. Tourist shopping habitat: effects on emotions, shopping value and behaviours. Tourism Manag. 28 (1), 58- 69.

[83]

Zeng, G. , Tao, S. , 2023. A generalized linear transformation and its effects on logistic regression. Mathematics 11 (2), 467.

[84]

Zhang, S. , Liu, N. , Ma, B. , Yan, S. , 2023. The effects of street environment features on road running: an analysis using crowdsourced fitness tracker data and machine learning. Environ. Plan. B Urban Anal. City Sci. 51 (2), 529- 545.

[85]

Zhang, Z. , Fang, K. , Wang, X. , Chen, L. , Zhang, W. , Furuya, N. , 2020. Characteristics, correlations of traditional street space elements and tourist density following spontaneous renovation:a case study on Suzhou's Shantang Street. J. Asian Architect. Build Eng. 20 (1), 29- 43.

RIGHTS & PERMISSIONS

The Author(s). Publishing services by Elsevier B.V. on behalf of Higher Education Press and KeAi.

AI Summary AI Mindmap
PDF (3639KB)

508

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/