Submitted:
06 March 2024
Posted:
06 March 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review
3. Data and Methodology
3.1. Data
3.2. Methodology
4. Discussion
5. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Cavill, N.; Kahlmeier, S.; Rutter, H.; Racioppi, F.; Oja, P. Economic analyses of transport infrastructure and policies including health effects related to cycling and walking: A systematic review. Transp. Policy 2008, 15, 291–304. [Google Scholar] [CrossRef]
- Oja, P.; Titze, S.; Bauman, A.; De Geus, B.; Krenn, P.; Reger-Nash, B.; Kohlberger, T. Health benefits of cycling: A systematic review. Scand. J. Med. Sci. Sports 2011, 21, 496–509. [Google Scholar] [CrossRef]
- Brand, C.; Goodman, A.; Ogilvie, D. Evaluating the impacts of new walking and cycling infrastructure on carbon dioxide emissions from motorized travel: A controlled longitudinal study. Appl. Energy 2014, 128, 284–295. [Google Scholar] [CrossRef] [PubMed]
- Götschi, T.; Garrard, J.; Giles-Corti, B. Cycling as a part of daily life: A review of health perspectives. Transp. Rev. 2016, 36, 45–71. [Google Scholar] [CrossRef]
- Brand, C. Cycling is Ten Times More Important Than Electric Cars for Reaching Net-Zero Cities. 2021. Available online: https://theconversation.com/cycling-is-ten-times-more-important-than-electric-cars-for-reaching-net-zero-cities157163.
- Brand, C.; Dekker, H.J.; Behrendt, F. Cycling, climate change and air pollution. In Advances in Transport Policy and Planning; Academic Press, 2022; Volume 10, pp. 235–264. [Google Scholar]
- Pucher, J.; Dill, J.; Handy, S. Infrastructure, programs, and policies to increase bicycling: An international review. Prev. Med. 2010, 50, S106–S125. [Google Scholar] [CrossRef] [PubMed]
- Buehler, R.; Pucher, J. International overview of cycling. Cycl. Sustain. Cities 2021, 11–34. [Google Scholar]
- Nkurunziza, A.; Zuidgeest, M.; Brussel, M.; Van Maarseveen, M. Examining the potential for modal change: Motivators and barriers for bicycle commuting in Dares-Salaam. Transp. Policy 2012, 24, 249–259. [Google Scholar] [CrossRef]
- Fowler, S.L.; Berrigan, D.; Pollack, K.M. Perceived barriers to bicycling in an urban US environment. J. Transp. Health 2017, 6, 474–480. [Google Scholar] [CrossRef]
- Transport for London Cycling Action Plan 2. 2023. Available online: https://content.tfl.gov.uk/cycling-action-plan.pdf.
- Hunt, J.D.; Abraham, J.E. Influences on bicycle use. Transportation 2007, 34, 453–470. [Google Scholar] [CrossRef]
- Wardman, M.; Tight, M.; Page, M. Factors influencing the propensity to cycle to work. Transp. Res. Part A 2007, 41, 339–350. [Google Scholar] [CrossRef]
- McArthur, J.; Powell, C. Health and wellness in commercial buildings: Systematic review of sustainable building rating systems and alignment with contemporary research. Build. Environ. 2020, 171, 106635. [Google Scholar] [CrossRef]
- Chegut, A.; Eichholtz, P.; Kok, N. Supply, demand and the value of green buildings. Urban Study 2014, 51, 22–43. [Google Scholar] [CrossRef]
- Holtermans, R.; Kok, N. On the value of environmental certification in the commercial real estate market. Real Estate Econ. 2019, 47, 685–722. [Google Scholar] [CrossRef]
- Leskinen, N.; Vimpari, J.; Junnila, S. A review of the impact of green building certification on the cash flows and values of commercial properties. Sustainability 2020, 12, 2729. [Google Scholar] [CrossRef]
- Miller, N.; Pogue, D.; Gough, Q.; Davis, S. Green buildings and productivity. J. Sustain. Real Estate 2009, l, 65–89. [Google Scholar] [CrossRef]
- Robinson, S.J.; Simons, R.A.; Lee, E. Which green office building features do tenants pay for? A Study of Observed Rental Effects. J. Real Estate Res. 2017, 39, 467–492. [Google Scholar] [CrossRef]
- Khoshbakht, M.; Gou, Z.; Lu, Y.; Xie, X.; Zhang, J. Are green buildings more satisfactory? A review of global evidence. Habitat Int. 2018, 74, 57–65. [Google Scholar] [CrossRef]
- Nurick, S.; Thatcher, A. The Relationship of green office buildings to occupant productivity and organizational performance: A Literature Review. J. Real Estate Lit. 2021, 29, 18–42. [Google Scholar] [CrossRef]
- Robinson, S.J.; Sanderford, A. Green buildings: Similar to other premium buildings? J. Real Estate Financ. Econ. 2016, 52, 99–116. [Google Scholar] [CrossRef]
- Turan, I.; Chegut, A.; Fink, D.; Reinhart, C. The value of daylight in office spaces. Build. Environ. 2020, 168, 106503. [Google Scholar] [CrossRef]
- Freybote, J. The evolution of green building amenities: The case of EV charging stations. J. Real Estate Res. 2023, 45, 228–242. [Google Scholar] [CrossRef]
- Fuerst, F.; McAllister, P. Green noise or green value? Measuring the effects of environmental certification on office values. Real Estate Econ. 2011, 39, 45–69. [Google Scholar] [CrossRef]
- Fuerst, F.; Van De Wetering, J. How does environmental efficiency impact on the rents of commercial offices in the UK? J. Prop. Res. 2015, 32, 193–216. [Google Scholar] [CrossRef]
- Ghosh, G.; Petrova, M. Building sustainability, certification, and price premiums: Evidence from Europe. J. Real Estate Res. 2023, 1–24. [Google Scholar] [CrossRef]
- Stamatakis, E.; Ekelund, U.; Wareham, N.J. Temporal trends in physical activity in England: The Health Survey for England 1991 to 2004. Prev. Med. 2007, 45, 416–423. [Google Scholar] [CrossRef] [PubMed]
- Bauman, A.E.; Rissel, C. Cycling and health: An opportunity for positive change? Med. J. Aust. 2009, 190, 347. [Google Scholar] [CrossRef]
- Martin, M.; Goryakin, Y.; Suhrcke, M. Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey. Prev. Med. 2014, 69, 296–303. [Google Scholar] [CrossRef]
- Ma, L.; Ye, R.; Wang, H. Exploring the causal effects of bicycling for transportation on mental health. Transp. Res. Part D Transp. Environ. 2021, 93, 102773. [Google Scholar] [CrossRef]
- Godlee, F. On your bikes. BMJ Br. Med. J. 1992, 304.6827, 588. [Google Scholar] [CrossRef]
- Banister, D. The sustainable mobility paradigm. Transp. Policy 2008, 15, 73–80. [Google Scholar] [CrossRef]
- Rissel, C. Health benefits of cycling. Cycl. Futures 2015, 43–62. [Google Scholar]
- Giles-Corti, B.; Gunn, L.; Hooper, P.; Boulange, C.; Diomedi, B.; Pettit, C.; Foste, S. Built environment and physical activity. Integr. Hum. Health Into Urban Transp. Plan. A Framew. 2019, 347–381. [Google Scholar]
- Graham-Rowe, E.; Skippon, S.; Gardner, B.; Abraham, C. Can we reduce car use and, if so, how? A review of available evidence. Transp. Res. Part A Policy Pract. 2011, 45, 401–418. [Google Scholar] [CrossRef]
- Pucher, J.; Buehler, R. Why Canadians cycle more than Americans: A comparative analysis of bicycling trends and policies. Transp. Policy 2006, 13, 265–279. [Google Scholar] [CrossRef]
- Martin, A.; Morciano, M.; Suhrcke, M. Determinants of bicycle commuting and the effect of bicycle infrastructure investment in London: Evidence from UK census microdata. Econ. Hum. Biol. 2021, 41, 100945. [Google Scholar] [CrossRef]
- Department for Transport 2005, Department for Transport Annual Report 2005 (CM 6527). Available online: https://assets.publishing.service.gov.uk/media/5a7b9011e5274a7318b8f78e/6527.pdf.
- Powell, J.; Dalton, A.; Brand, C.; Ogilvie, D. The health economic case for infrastructure to promote active travel: A critical review. Built Environ. 2010, 36, 504–518. [Google Scholar] [CrossRef]
- Song, Y.; Preston, J.; Ogilvie, D.; iConnect Consortium. New walking and cycling infrastructure and modal shift in the UK: A quasi-experimental panel study. Transp. Res. Part A Policy Pract. 2017, 95, 320–333. [Google Scholar] [CrossRef]
- Goodman, A.; Sahlqvist, S.; Ogilvie, D.; iConnect Consortium. Who uses new walking and cycling infrastructure and how? Longitudinal results from the UK iConnect study. Prev. Med. 2013, 57, 518–524. [Google Scholar] [CrossRef]
- Transport for London, Cycling Action Plan 2, 2023. Available online: https://content.tfl.gov.uk/cycling-action-plan.pdf.
- Moudon, A.V.; Lee, C.; Cheadle, A.D.; Collier, C.W.; Johnson, D.; Schmid, T.L.; Weather, R.D. Cycling and the built environment, a US perspective. Transp. Res. Part D Transp. Environ. 2005, 10, 245–261. [Google Scholar] [CrossRef]
- Yang, L.; Sahlqvist, S.; McMinn, A.; Griffin, S.J.; Ogilvie, D. Interventions to promote cycling: Systematic review. BMJ 2010, 341. [Google Scholar] [CrossRef] [PubMed]
- Winters, M.; Davidson, G.; Kao, D.; Teschke, K. Motivators and deterrents of bicycling: Comparing influences on decisions to ride. Transportation 2010, 38, 153–168. [Google Scholar] [CrossRef]
- Moudon, A.V.; Lee, C.; Cheadle, A.D.; Collier, C.W.; Johnson, D.; Schmid, T.L.; Weather, R.D. Cycling and the built environment: A US perspective. Transp. Res. Part D 2005, 10, 245–261. [Google Scholar] [CrossRef]
- Heinen, E.; van Wee, B.; Maat, K. Commuting by Bicycle: An Overview of the Literature. Transp. Rev. 2010, 30, 59–96. [Google Scholar] [CrossRef]
- Aldred, R.; Jungnickel, K. Why culture matters for transport policy: The case of cycling in the UK. J. Transp. Geogr. 2014, 34, 78–87. [Google Scholar] [CrossRef]
- BREEAM. In-Use Technical Manuals, 2020: BREEAM In-Use International Technical Manual: Commercial, Version 6.0.0. Available online: https://bregroup.com.
- Eichholtz, P.; Kok, N.; Quigley, J.M. Doing well by doing good? Green office buildings. Am. Econ. Rev. 2010, 100, 2492–2509. [Google Scholar] [CrossRef]
- Ferreira, A.; Pinheiro, M.D.; de Brito, J.; Mateus, R. A critical analysis of LEED, BREEAM and DGNB as sustainability assessment methods for retail buildings. J. Build. Eng. 2023, 66, 105825. [Google Scholar] [CrossRef]
- Kazemzadeh, K.; Laureshyn, A.; Winslott Hiselius, L.; Ronchi, E. Expanding the scope of the bicycle level-of-service concept: A review of the literature. Sustainability 2020, 12, 2944. [Google Scholar] [CrossRef]
- Dippold, T.; Mutl, J.; Zietz, J. Opting for a green certificate: The impact of local attitudes and economic conditions. J. Real Estate Res. 2014, 36, 435–474. [Google Scholar] [CrossRef]
| Mean | Min. | Max. | Std. Dev | |
| Panel A: Summary of full sample (N=12,465) | ||||
| Rent | 26.58 | 1.31 | 189 | 19.57 |
| Size | 31797.37 | 30 | 1400000 | 65484.07 |
| Age | 64.88 | 0.00 | 671 | 63.568 |
| Dis | 1452.03 | 0.19 | 9223.37 | 2076.35 |
| Bike | 0.10 | - | 1.00 | 0.30 |
| Shower | 0.12 | - | 1.00 | 0.33 |
| Renov | 0.16 | - | 1.00 | 0.37 |
| BREEM | 0.12 | - | 1.00 | 0.32 |
| EPC | 0.69 | - | 1.00 | 0.46 |
| Urban | 0.49 | - | 1.00 | 0.50 |
| London | 0.31 | - | 1.00 | 0.46 |
| Panel B: | t-test results | |||
| Bike | Non-Bike | London | Non-London | |
| Rent | 42.65*** | 28.81 | 48.41*** | 16.87 |
| NIA | 83289.42*** | 26126.46 | 48776.01*** | 24247.38 |
| Age | 48.89*** | 66.65 | 80.46*** | 57.97 |
| Dis. | 732.56*** | 1531.26 | 348.51*** | 1942.74 |
| Bike | 0.19*** | 0.06 | ||
| Shower | 0.71*** | 0.06 | 0.21*** | 0.08 |
| Renov | 0.38*** | 0.14 | 0.27*** | 0.11 |
| BREEM | 0.35*** | 0.09 | 0.16*** | 0.1 |
| EPC | 0.63*** | 0.70 | 0.72*** | 0.68 |
| Stars | 3.56*** | 2.92 | 3.29*** | 2.85 |
| Urban | 0.79*** | 0.46 | 0.86*** | 0.33 |
| No. of Obs. | 1237 | 11232 | 3838 | 8631 |
| 1 | 2 | 3 | 4 | |
| Bike | 0.179*** | 0.083*** | 0.025*** | 0.018** |
| (0.01) | (0.007) | (0.006) | (0.007) | |
| Shower | 0.138*** | 0.075*** | 0.048*** | 0.045*** |
| (0.009) | (0.006) | (0.006) | (0.006) | |
| Log NIA | 0.039*** | 0.007** | ||
| (0.003) | (0.003) | |||
| LogAge | −0.097*** | −0.118*** | ||
| (0.014) | (0.014) | |||
| LogAge2 | 0.043*** | 0.047*** | ||
| (0.005) | (0.005) | |||
| Renev | 0.044*** | 0.046*** | ||
| (0.004) | (0.004) | |||
| Log dis. | −0.021*** | −0.022*** | ||
| (0.004) | (0.004) | |||
| BREEM | 0.067*** | |||
| (0.005) | ||||
| EPC | 0.006 | 0.001 | ||
| (0.003) | (0.003) | |||
| BikexBREEM | 0.045** | |||
| (0.014) | ||||
| ShowerxBREEM | 0.009 | |||
| (0.014) | ||||
| Urban | 0.075*** | 0.075*** | ||
| (0.004) | (0.004) | |||
| WM | −0.091*** | 0.004 | −0.066 | |
| (0.017) | 0.008 | (0.015) | ||
| SE | 0.091*** | 0.117*** | 0.117*** | |
| (0.016) | (0.015) | (0.015) | ||
| London | 0.416*** | 0.343*** | 0.341*** | |
| (0.016) | (0.015) | (0.015) | ||
| NW | −0.046*** | −0.036*** | −0.037*** | |
| (0.015) | (0.014) | (0.014) | ||
| SW | −0.034*** | −0.01 | −0.011 | |
| (0.017) | (0.015) | (0.015) | ||
| EE | 0.036** | 0.068*** | 0.066*** | |
| (0.017) | (0.015) | (0.015) | ||
| NE | −0.15*** | −0.148*** | −0.15*** | |
| (0.018) | (0.016) | (0.016) | ||
| YH | −0.105 | −0.010 | −0.09 | |
| (0.017) | 0.009 | (0.01) | ||
| Cons. | 1.290 | 1.196*** | 1.001*** | 0.997*** |
| (0.003) | (0.016) | (0.026) | (0.026) | |
| Adjusted R2 | 0.093 | 0.614 | 0.671 | 0.66 |
| F | 647.031 | 1801.593 | 1344.412 | 1321.339 |
| No. | 12,469 | 12,469 | 12,469 | 12,469 |
| (1). Urban | (2). Suburban | (3). London | (4). Region | |
| Bike | 0.018** | 0.039*** | 0.015* | 0.045*** |
| (0.008) | (0.012) | (0.009) | (0.009) | |
| Shower | 0.031*** | 0.06*** | 0.029*** | 0.051*** |
| (0.007) | (0.009) | (0.008) | (0.007) | |
| LogNIA | 0.009** | −0.002 | −0.009 | 0.01*** |
| (0.005) | (0.004) | (0.006) | (0.004) | |
| LogAge | −0.101*** | −0.083*** | −0.062*** | −0.116*** |
| (0.019) | (0.02) | (0.022) | (0.017) | |
| LogAge2 | 0.055*** | 0.022*** | 0.05*** | 0.037*** |
| (0.006) | (0.006) | (0.007) | (0.006) | |
| Renev | 0.04*** | 0.035*** | 0.025*** | 0.056*** |
| (0.005) | (0.007) | (0.006) | (0.006) | |
| LogDis. | −0.051*** | −0.011*** | −0.046*** | −0.024*** |
| (0.006) | (0.004) | (0.009) | (0.004) | |
| BREEM | 0.071*** | 0.062*** | 0.078*** | 0.065*** |
| (0.007) | (0.008) | (0.008) | (0.007) | |
| EPC | 0.012*** | −0.003 | 0.016*** | −0.001 |
| (0.005) | (0.004) | (0.006) | (0.004) | |
| Urban | 0.175*** | 0.047*** | ||
| (0.008) | (0.004) | |||
| WM | −0.203*** | −0.007 | −0.069*** | |
| (0.025) | (0.019) | (0.015) | ||
| SE | −0.021 | 0.179 | 0.108 | |
| (0.024) | (0.018) | (0.014) | ||
| London | 0.226*** | 0.307*** | ||
| (0.023) | (0.019) | |||
| NW | −0.178*** | 0.03* | −0.041*** | |
| (0.022) | (0.017) | (0.013) | ||
| SW | −0.135*** | 0.045** | −0.015 | |
| (0.024) | (0.019) | (0.015) | ||
| EE | −0.078*** | 0.133*** | 0.06*** | |
| (0.025) | (0.019) | (0.015) | ||
| NE | −0.261*** | −0.094*** | −0.147*** | |
| (0.025) | (0.022) | (0.016) | ||
| YH | −0.161 | −0.042 | −0.083 | |
| (0.025) | (0.019) | (0.015) | ||
| Cons | 1.56*** | 1.038*** | 1.273*** | 1.069*** |
| (0.709) | (0.033) | (0.037) | (0.029) | |
| Adjusted R2 | 0.709 | 0.335 | 0.354 | 0.342 |
| F | 779.907 | 226.118 | 189.893 | 232.914 |
| No. | 6,170 | 6,299 | 3,838 | 8,631 |
| Panel A: Modified Breusch-Pagan Test | ||
| Chi-Square | df | Sig. |
| 0.072 | 1 | 0.788 |
| Panel B: White Test | ||
| Chi-Square | df | Sig. |
| 438.921 | 138 | 0.001 |
| 1 | The coefficient for Bike in table 2 is 0.025, which translates into (exp(0.025)-1) =3%. The coefficient for Shower in table 2 is 0.048, which translates into exp(0.048)-1) =5%. |
| 2 | The coefficient for BikexBREEM in column 4, table 2 is 0.045, which translates into (exp (0.045)-1)=5%. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).