Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Disparities in access to sustainable dining options across the Tokyo Metropolis

Abstract

Urbanization and fast-paced lifestyles have shaped diverse culinary landscapes in global cities. Yet, access to sustainable dining options remains highly uneven due to complex interactions between socioeconomic systems and individual behaviors. Here we introduce an integrated framework for evaluating sustainable dining accessibility, leveraging data from 3,649 menu items and 112,892 restaurants in Tokyo, Japan. Our findings highlight a pronounced clustering of restaurants around railway stations, underscoring the pivotal role of transit-oriented development in shaping urban dining patterns. Then, a sustainable dining choice was assessed through a multidimensional approach that incorporates economic preferences, environmental impacts along the supply chain and the nutritional quality of menu offerings. Further analysis uncovers severe inequalities in sustainable dining accessibility across station vicinities, railway lines and administrative wards, with up to 9 million daily passengers exposed to unsustainable dining environments. To address these disparities, we propose targeted interventions, including optimized restaurant spatial distribution, to enhance accessibility in underserved areas. By integrating these solutions, this study offers actionable insights for urban planners, policymakers and citizens, contributing to planetary health and advancing sustainability in urban dining systems.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Nutritional values, carbon footprints across different restaurant types and spatial distribution across Tokyo.
Fig. 2: SDOI in railway station vicinities.
Fig. 3: SDOI across Tokyo’s railway lines.
Fig. 4: SDOIs across Tokyo’s 23 wards.
Fig. 5: Optimization scenarios for SDOI improvement around high-foot-traffic stations.
Fig. 6: Framework for sustainable dining out analysis and optimization.

Similar content being viewed by others

Data availability

Public transport data are obtained from Japan’s National Land Information Division (https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-S12-v2_3.html), and dining out expenditures and frequencies for the year 2023 are derived from the FIES (https://www.stat.go.jp/english/data/kakei/index.html). Additionally, we utilized the 3EID database, which provides embodied energy and emission intensity values for Japan’s approximately 400 industrial sectors based on input–output tables (https://www.cger.nies.go.jp/publications/report/d031/jpn/page/what_is_3eid.htm). Aggregated or de-identified data supporting the findings of this study are available on GitHub at https://github.com/LiqiaoHuang/Sus-Din-Out.

Code availability

Methods for analyzing sustainable dining practices in Tokyo are available on GitHub at https://github.com/LiqiaoHuang/Sus-Din-Out.

References

  1. Afshin, A. et al. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 393, 1958–1972 (2019).

    Article  Google Scholar 

  2. Crippa, M. et al. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat. Food 2, 198–209 (2021).

    Article  Google Scholar 

  3. Xue, L. et al. China’s food loss and waste embodies increasing environmental impacts. Nat. Food 2, 519–528 (2021).

    Article  Google Scholar 

  4. Gerten, D. et al. Feeding ten billion people is possible within four terrestrial planetary boundaries. Nat. Sustain. 3, 200–208 (2020).

    Article  Google Scholar 

  5. Long, Y. et al. Carbon footprint and embodied nutrition evaluation of 388 recipes. Sci. Data 10, 794 (2023).

    Article  Google Scholar 

  6. An, R. Fast-food and full-service restaurant consumption and daily energy and nutrient intakes in US adults. Eur. J. Clin. Nutr. 70, 97–103 (2016).

    Article  Google Scholar 

  7. Sinharay, R. et al. Respiratory and cardiovascular responses to walking down a traffic-polluted road compared with walking in a traffic-free area in participants aged 60 years and older with chronic lung or heart disease and age-matched healthy controls: a randomised, crossover study. Lancet 391, 339–349 (2018).

    Article  Google Scholar 

  8. Chen, C. X., Chaudhary, A. & Mathys, A. Dietary change and global sustainable development goals. Front. Sustain. Food Syst. 6, 771041 (2022).

  9. Kenny, T. A., Woodside, J., Perry, I. J. & Harrington, J. M. Consumer attitudes and behaviors toward more sustainable diets: a scoping review. Nutr. Rev. 81, 1665–1679 (2023).

    Article  Google Scholar 

  10. Chiu, M. C., Tu, Y. L. & Kao, M. C. Applying deep learning image recognition technology to promote environmentally sustainable behavior. Sustain. Prod. Consum. 31, 736–749 (2022).

    Article  Google Scholar 

  11. Ambikapathi, R. et al. Global food systems transitions have enabled affordable diets but had less favourable outcomes for nutrition, environmental health, inclusion and equity. Nat. Food 3, 764–779 (2022).

    Article  Google Scholar 

  12. Long, Y. et al. Mixed diets can meet nutrient requirements with lower carbon footprints. Sci. Adv. 10, eadh1077 (2024).

    Article  Google Scholar 

  13. Rodríguez-López, M., Alcántara-Pilar, J., Del Barrio-García, S. & Muñoz-Leiva, F. A review of restaurant research in the last two decades: a bibliometric analysis. Int. J. Hosp. Manag. 87, 102387 (2020)

  14. Oostenbach, L., Lamb, K., Crawford, D. & Thornton, L. Influence of work hours and commute time on food practices: a longitudinal analysis of the Household, Income and Labour Dynamics in Australia Survey. BMJ Open 12, e056212 (2022).

    Article  Google Scholar 

  15. Larson, N. I., Nelson, M. C., Neumark-Sztainer, D., Story, M. & Hannan, P. J. Making time for meals: meal structure and associations with dietary intake in young adults. J. Am. Diet. Assoc. 109, 72–79 (2009).

    Article  Google Scholar 

  16. Lachat, C. et al. Eating out of home and its association with dietary intake: a systematic review of the evidence. Obes. Rev. 13, 329–346 (2012).

    Article  Google Scholar 

  17. Kant, A. K., Whitley, M. I. & Graubard, B. I. Away from home meals: associations with biomarkers of chronic disease and dietary intake in American adults, NHANES 2005-2010. Int. J. Obes. 39, 820–827 (2015).

    Article  Google Scholar 

  18. National Health Commission of the People’s Republic of China Report on the Status of Chinese Residents’ Nutrition and Chronic Diseases (People’s Health Publishing House, 2015).

  19. He, P., Feng, K., Baiocchi, G., Sun, L. & Hubacek, K. Shifts towards healthy diets in the US can reduce environmental impacts but would be unaffordable for poorer minorities. Nat. Food 2, 664–672 (2021).

    Article  Google Scholar 

  20. Laine, J. et al. Co-benefits from sustainable dietary shifts for population and environmental health: an assessment from a large European cohort study. Lancet Planet. Health 5, E786–E796 (2021).

    Article  Google Scholar 

  21. Van Vuuren, D. P. et al. Integrated scenarios to support analysis of the food–energy–water nexus. Nat. Sustain. 2, 1132–1141 (2019).

    Article  Google Scholar 

  22. Willett, W. et al. Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems. Lancet 393, 447–492 (2019).

    Article  Google Scholar 

  23. Stockli, S., Dorn, M. & Liechti, S. Normative prompts reduce consumer food waste in restaurants. Waste Manage. 77, 532–536 (2018).

    Article  Google Scholar 

  24. Zhang, F. Z. et al. Exploiting dining preference for restaurant recommendation. In Proc. 25th International Conference on World Wide Web 725–735 (International World Wide Web Conferences Steering Committee, 2016)

  25. Haddad, A. J., Mondal, A. & Bhat, C. R. Eat-in or eat-out? A joint model to analyze the new landscape of dinner meal preferences. Transport. Res. C 147, 104016 (2023).

    Article  Google Scholar 

  26. Iofrida, N. et al. Italians’ behavior when dining out: main drivers for restaurant selection and customers segmentation. Int. J. Gastron. Food Sci. 28, 100518 (2022).

  27. Warde, A. Changing tastes? The evolution of dining out in England. Gastronomica 18, 1–12 (2018).

    Article  Google Scholar 

  28. Schiff, N. Cities and product variety: evidence from restaurants. J. Econ. Geogr. 15, 1085–1123 (2014).

    Article  Google Scholar 

  29. Mazzolari, F. & Neumark, D. Immigration and product diversity. J. Popul. Econ. 25, 1107–1137 (2012).

    Article  Google Scholar 

  30. Joassart-Marcelli, P., Rossiter, J. & Bosco, F. Ethnic markets and community food security in an urban “food desert”. Environ. Plan. A 49, 1642–1663 (2017).

    Article  Google Scholar 

  31. Emi Nakamura, Y. A. The food desert caused by the economic difficulty of access in Azabu and Takanawa district of Minato-ku, Tokyo (in Japanese). J. Archit. Plann. Environ. Eng. 84, 437–445 (2019).

    Article  Google Scholar 

  32. Tokyo Metropolitan Government Results of the 6th Internet Metropolitan Government Policy Monitor Survey on Residents’ Dietary Habits and Use of Eating Out and Fast Food (2021).

  33. Liotta, C., Viguié, V. & Creutzig, F. Environmental and welfare gains via urban transport policy portfolios across 120 cities. Nat. Sustain. 6, 1067–1076 (2023).

    Article  Google Scholar 

  34. Calimente, J. Rail integrated communities in Tokyo. J. Transp. Land Use 5, 19–32 (2012).

    Article  Google Scholar 

  35. Ke, L., Furuya, K. & Luo, S. Case comparison of typical transit-oriented-development stations in Tokyo district in the context of sustainability: spatial visualization analysis based on FAHP and GIS. Sustain. Cities Soc. 68, 102788 (2021).

    Article  Google Scholar 

  36. Bertan, S. Impact of restaurants in the development of gastronomic tourism. Int. J. Gastron. Food Sci. 21, 100232 (2020).

    Article  Google Scholar 

  37. Lucan, S. & DiNicolantonio, J. How calorie-focused thinking about obesity and related diseases may mislead and harm public health. An alternative. Public Health Nutr. 18, 571–581 (2015).

    Article  Google Scholar 

  38. Imamoto, M., Takada, T., Sasaki, S., Kato, K. & Onishi, Y. Salt intake per dish in the Japanese diet: a clue to help establish dietary goals at home. J. Nutr. Sci. 10, e107 (2021).

    Article  Google Scholar 

  39. Shannon, J., Reese, A., Ghosh, D., Widener, M. & Block, D. More than mapping: improving methods for studying the geographies of food access. Am. J. Public Health 111, 1418–1422 (2021).

    Article  Google Scholar 

  40. Vilar-Compte, M. et al. Urban poverty and nutrition challenges associated with accessibility to a healthy diet: a global systematic literature review. Int. J. Equity Health 20, 40 (2021).

    Article  Google Scholar 

  41. Arnold, S. Public transportation access and food insecurity Kilts Center at Chicago Booth Marketing Data Center Paper Forthcoming. https://doi.org/10.2139/ssrn.4994694 (2024).

  42. Clark, M. A., Springmann, M., Hill, J. & Tilman, D. Multiple health and environmental impacts of foods. Proc. Natl Acad. Sci. USA 116, 23357–23362 (2019).

    Article  Google Scholar 

  43. Bunge, A. C., Mazac, R., Clark, M., Wood, A. & Gordon, L. Sustainability benefits of transitioning from current diets to plant-based alternatives or whole-food diets in Sweden. Nat. Commun. 15, 951 (2024).

    Article  Google Scholar 

  44. Aidoo, R., Abe-Inge, V., Kwofie, E., Baum, J. & Kubow, S. Sustainable healthy diet modeling for a plant-based dietary transitioning in the United States. npj Sci. Food 7, 61 (2023).

    Article  Google Scholar 

  45. Jiang, H. et al. An assessment of urbanization sustainability in China between 1990 and 2015 using land use efficiency indicators. npj Urban Sustain. 1, 34 (2021).

  46. Yang, Y., Zhang, J., Huang, J., Zhao, Y. & Zhao, Q. Urban density and spatial carbon emission performance of megacities in China. Sci. Rep. 14, 23862 (2024).

  47. Tang, Y. & Zhang, R. in Fair Development in China 185–203 (Springer, 2017).

  48. Long, Y., Yoshida, Y. & Kajikawa, Y. Extreme heat disproportionately exacerbates health issues by threatening fresh food supply. Nat. Clim. Change 14, 1109–1111 (2024).

    Article  Google Scholar 

  49. Lang, L. et al. Awareness of food waste recycling in restaurants: evidence from China. Resour. Conserv. Recycl. 161, 104949 (2020).

    Article  Google Scholar 

  50. Makov, T., Shepon, A., Krones, J., Gupta, C. & Chertow, M. Social and environmental analysis of food waste abatement via the peer-to-peer sharing economy. Nat. Commun. 11, 1156 (2020).

    Article  Google Scholar 

  51. Long, Y. et al. Monthly direct and indirect greenhouse gases emissions from household consumption in the major Japanese cities. Sci. Data 8, 301 (2021).

    Article  Google Scholar 

  52. Hallström, E. et al. Combined climate and nutritional performance of seafoods. J. Clean. Prod. 230, 402–411 (2019).

    Article  Google Scholar 

  53. Jasim, M. S. & Mashee, F. K. Monitoring and calculating the carbon dioxide emissions in Baghdad and its effect on increasing temperatures from 2003-2018 using remote sensing data. Per. Tchê Quim. 17, 357–371 (2020).

    Google Scholar 

  54. Yue, Y. et al. Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy. Int. J. Geogr. Inf. Sci. 31, 658–675 (2017).

    Article  Google Scholar 

Download references

Acknowledgements

This research is funded by the Japan Society for the Promotion of Science KAKENHI B (grant no. JP24K03146, Y.Y.) and KAKENHI C (grant no. JP23K11542, Y.L.). L.H. is supported by JSPS DC2 Program and the Leadership Development Program for Ph.D. (LDPP) of the Graduate School of Engineering, the University of Tokyo.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: L.H. and Y.L. Data curation: L.H., Y.H. and X.L. Formal analysis: L.H., Y.H. and S.M. Methodology: L.H. and S.M. Software: L.H., Y.H. and S.M. Visualization: L.H. and Y.H. Writing—original draft: L.H. and Y.L. Writing—review and editing: L.H., Y.H. and Y.L. Supervision: Y.L. and Y.Y.

Corresponding author

Correspondence to Yin Long.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Cities thanks Benigna Boza-Kiss, Huabo Duan and Ruichang Mao for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–13, Notes 1–8, Tables 1–8, methods and references.

Reporting Summary

Source data

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, L., Huang, Y., Lv, X. et al. Disparities in access to sustainable dining options across the Tokyo Metropolis. Nat Cities 2, 387–399 (2025). https://doi.org/10.1038/s44284-025-00235-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s44284-025-00235-9

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing