Konut Fiyatlarına Etkisi ve Kullanıcı Algıları Doğrultusunda Kentsel Çevre Kalitesinin Sarıçay ve Mevcut Peyzaj Donatıları Kapsamında Değerlendirilmesi: Çanakkale Örneği

Öz

Çalışmada, konutun sahip olduğu ve talebe göre değişkenlik gösteren çevresel özniteliklerin ekonomik değerleri Çanakkale kentselinde Sarıçay Kanalına komşu mahallelerde mercek altına alınmıştır. Buna göre, artış trendinde olan konut fiyatlarının çevresel özniteliklere bağlı olarak gerçekleştiği ve bu payın bölgenin sürdürülebilir gelişmesinde kullanılabileceğine dikkat çekilmiştir. Hedonik pricing yöntemi esasına göre yapılan anket uygulamasıyla Sarıçay kanalının, Boğaz manzarasının, konum ve peyzaj kalitesinin değerleri belirlenmiştir. Aynı yaklaşımla bölge için Realtime Landscaping Architect 20 programında oluşturulan model peyzaj tasarımı kullanılarak Koşullu Değerlendirmeye göre uygulanan anketle de 400 bölge sakininin gönüllülük esasına dayalı değerlendirmelerine ulaşılmıştır. İki yöntemle elde edilen yakın sonuçlardan çevresel özniteliklerin konut fiyatına katkısı ortalama 88.229 TL bulunmuştur. Buradan bölgede satışı gerçekleşen 200 konut için yaklaşık 17.645.800 TL toplumsal faydadan söz edilebilir. Bununla birlikte faydanın yerel yönetime entegrasyonu ve rasyonel yönetilmesi ile bölge halkı ve yaşam alanları açısından sürdürülebilir ideal çevre gelişimlerinin (bakım ve onarımlarının) sağlanması mümkün olabilecektir.

Anahtar Kelimeler

• Konut fiyatları
• ekonomik değer
• hedonik fiyat
• koşullu değerleme yöntemi

Evaluation of Effect on Housing Prices and User Perceptions of the Urban Environmental Features of Sarıçay and Present Landscape Equipment: The Example of Çanakkale

Abstract

This study focused on the economic value of housing and environmental attributes with variability according to demand, for the neighborhood adjoining the Sarıçay River in the Çanakkale urban area. Accordingly, an increasing trend emerged for housing prices linked to environmental attributes and attention was drawn to this share which may be used for sustainable development of the region. A survey based on the hedonic pricing method determined the value of the Sarıçay river, strait view, location and landscape qualities. With the same
approach, a survey based on conditional valuation using a model landscape design created with the “Realtime Landscaping Architect 20” program was used to provide an assessment based on the willingness of 400 residents of the region. From the close results obtained with the two methods, the contribution of environmental attributes to housing prices was found to be 88,229 TL. From here, based on sales of 200 houses in the region, nearly 17,564,800 TL social benefit can be mentioned. Additionally, integration and rational management of this benefit
by local administrations will make it possible to provide sustainable ideal environmental development (care and maintenance) for the regional public and living areas.

Keywords

• Housing prices
• economic value
• hedonic price
• conditional valuation method

References

1. Alas B. (2020). A multilevel analysis of housing submarkets defned by the municipal boundaries and by the street connections in the metropolitan area: Istanbul. Journal of Housing and the Built Environment. https://doi.org/10.1007/s10901-020-09735-7
2. Alkan Gökler, L. (2017). Examining House Price Differentiation in Ankara Using Hedonic Analysis. Megaron, 12(2): 304-315, DOI: 10.5505/MEGARON.2017.35582 (In Turkish).
3. Alkan, Y., Uslu, C., (2016). The effects of active green spaces on houses prices: the case of Yenişehir district of Mersin province. İnönü University Journal of Art and Design, 6 (13); 1-10. (In Turkish).
4. Alphan, H. (2017). Analysis of landscape changes as an indicator for environmental monitoring. Environ Monit Assess (2017) 189: 24 DOI 10.1007/s10661-016-5748-7
5. Altan T. (2004). "Towards a More Comprehensive Landscape Architecture". TMMOB Chamber of Landscape Architects Publication. Ankara. (In Turkish).
6. APS (2003). Law on The Ratification of the European Landscaping Convention, Law No: 4881, Date of Acceptance: 10.06.2003 Official Newspaper Date: 2003-06-17, Official Number of Newspapers: 2514. (In Turkish).
7. Bican, N., B. (2019). Public mass housing practices in Turkey: the urgent need for research based spatial decision making. Journal of Housing and the Built Environment https://doi.org/10.1007/s10901-019-09692-w 1
8. Chen, Z., Xu, B., Devereux, B. (2015). Assessing public aesthetic preferences towards some urban landscape patterns: the case study of two different geographic groups. Environ Monit Assess (2016) 188: 4 DOI 10.1007/s10661-015-5007-3

9. Czischke, D., Bortel, G. (2018). An exploration of concepts and polices on ‘affordable housing’ in England, Italy, Poland and The Netherlands. J Hous and the Built Environ https://doi.org/10.1007/s10901-018-9598-1
10. Çelik, D. (2018). Limited Responsible Nüve Residential Building Cooperative Landscape Project. Journal of Bartin Faculty of Forestry, 20 (3): 409-419. https://dergipark.org.tr/tr/pub/barofd/issue/38873/461131 (In Turkish).
11. Demircan, K., Oğuztimur S. (2019). Literature Survey Regarding with the Affects of Metro Lines On House Prices Megaron, 14(3):417-431 DOI: 10.14744/MEGARON.2019.04875 (In Turkish).
12. François, D. R., Marius, T., Yan, K., Paul, V. (2002). Landscaping and house values: an empirical investigation. Journal of Real Estate Research, 23(1-2), 139-162.
13. Ergöz Karahan, E. (2017). Sustainability of Traditional and Contemporary Housing and Household Lifestyles: Case of Osmaneli. Megaron, 12(3): 497-510 DOI: 10.5505/MEGARON. 2017.27037 (In Turkish).
14. Freeman, A.M. (1979), “Hedonic Prices, Property Values and Measuring Environmental Benefits: A Survey of the Issues”, The Scandinavian Journal of Economics, 81(2): 154–173.
15. Gefenaite, G., Björk, J., Schmidt, S. M., Slaug, B., & Iwarsson, S. (2020). Associations among housing accessibility, housing-related control beliefs and independence in activities of daily living: a cross-sectional study among younger old in Sweden. Journal of Housing and the Built Environment, 1-11. https://doi.org/10.1007/s10901-019-09717-4
16. Goodman, A. C., Thibodeau, T. G. (2003). Housing market segmentation and hedonic prediction accuracy. Journal of Housing Economics, 12(3), 181-201.
17. Gouda, A.A. & Masoumi, H.E. (2018). Compactness, connectivity, and walking accessibility on the neighborhood level according to sustainability certifications: improvement or downgrade? A case study of Cairo, Egypt. J Geogr Syst 20, 413–449. https://doi.org/10.1007/s10109-018-0272-7
18. Gür, M., Murat, D., Sezer, F.Ş. (2019). The efect of housing and neighborhood satisfaction on perception of happiness in Bursa, Turkey. Journal of Housing and the Built Environment. https://doi.org/10.1007/s10901-019-09708-5 1
19. Gürlük, S., Rehber, E., (2009). A study of the environmental valuation of Lake Manyas. Journal of Agricultural Economics, 15 (1); 9-15. (In Turkish).
20. Hewings, G., Nazara, S., Dridi, C. (2004). Channels of synthesis forty years on: integrated analysis of spatial economic systems. J Geograph Syst 6, 7–25. https://doi.org/10.1007/s10109-003-0120-1
21. Hur, M., Morrow-Jones, H. (2008). Factors that influence residents’ satisfaction with neighbourhoods. Environment & Behavior 40 (5): 619–635.
22. Kelkit A. (2002). A Research on Plant Material Used in Open-Green Areas, Canakkale City. Ecology Environmental Journal, 10(43): 17-21. (In Turkish).
23. Kelkit A. (2003). Environmental problems of Canakkale City and solutions. International Journal of Environment and Pollution, 19(1): 66-74.
24. Kyttä, M., Kahila, M., Broberg, A. (2011). Perceived environmental quality as an input to urban infill policy-making. Urban Des Int 16, 19–35. https://doi.org/10.1057/udi.2010.19
25. Liang, C.M., Lee, C.C., Yong, L.R. (2020). Impacts of urban renewal on neighborhood housing prices: predicting response to psychological efects. Journal of Housing and the Built Environment (2020) 35:191–213 https://doi.org/10.1007/s10901-019-09673-z
26. Likert, R. (1932-1933). A Technique fort he measurement of attitudes, archives of psychology, 22, USA.
27. Makinde, O.O. (2013). Housing delivery system, need and demand. Retrieved February 2014, from Journal of Environment, Development and Sustainability: DOI 10.1007/s10668-013-9474-9
28. Mínguez, R., Montero, J. M., Fernández-Avilés, G. (2013). Measuring the impact of pollution on property prices in Madrid: objective versus subjective pollution indicators in spatial models. Journal of Geographical Systems, 15(2), 169-191. https://doi.org/10.1007/s10109-012-0168-x
29. Montero, Jm., Mínguez, R. & Fernández-Avilés, G. (2018). Housing price prediction: parametric versus semi-parametric spatial hedonic models. J Geogr Syst 20, 27–55. https://doi.org/10.1007/s10109-017-0257-y
30. Montero-Lorenzo, Jm., Larraz-Iribas, B., Páez, A. (2009). Estimating commercial property prices: an application of cokriging with housing prices as ancillary information. Journal of Geographical Systems, 11(4), 407. https://doi.org/10.1007/s10109-009-0095-7
31. Mukhtar, M. M., Amirudin, R. B., Sofield, T., Mohamad, I. B. (2017). Critical success factors for public housing projects in developing countries: a case study of Nigeria. Environment, Development And Sustainability, 19(5), 2039-2067. https://doi.org/10.1007/s10668-016-9843-2
32. Nayim, B. (2014). Determination of physically suitable areas for residential settlement with LUCIS model, Bartin city example. Journal of Bartin Faculty of Forestry, 16(23): 44-58. Retrieved from. https://dergipark.org.tr/tr/pub/barofd/issue/15841/178813 (In Turkish)
33. Olanrewaju, A., Wong, H. C. (2020). Evaluation of the requirements of frst time buyers in the purchase of afordable housing in Malaysia. Journal of Housing and the Built Environment (2020) 35:309–333 https://doi.org/10.1007/s10901-019-09681-z
34. Ozkan, U.Y. (2014). Assessment of visual landscape quality using IKONOS imagery. Environ Monit Assess (2014) 186:4067–4080 DOI 10.1007/s10661-014-3681-1 Payaslı Oğuz G., Aksulu, I., B. (2016). Traditional Houses of Bitlis: Conservation Issues and Suggestions. Megaron, 11(1): 63-77 DOI: 10.5505/MEGARON.2016.76588 (In Turkish).
35. Pulido, A., 1972. Estadistica y Tecnicas de Investipacion Sosial. Ediciones Anaya, Madrid.
36. Qiu, L., Tu, Y., Zhao, D. (2019). Information asymmetry and anchoring in the housing market: a stochastic frontier approach. Journal of Housing and the Built Environment https://doi.org/10.1007/s10901-019-09701-y 1
37. Rimal, B., Keshtkar, H., Sharma, R., Stork, N., Rijal, S. & Kunwar, R. (2019). Rimal, B., Keshtkar, H., Sharma, R., Stork, N., Rijal, S., & Kunwar, R. (2019). Simulating urban expansion in a rapidly changing landscape in eastern Tarai, Nepal. Environmental Monitoring And Assessment, 191(4), 1-14. https://doi.org/10.1007/s10661-019-7389-0
38. Salihoğlu, T., Türkoğlu, H. (2019). Residential Environment and Quality of Urban Life. Megaron, 14 (SUPPL. 1): 203-217 DOI: 10.5505/MEGARON.2018.06977 (In Turkish).
39. Sarı, B.Ö., Khurami, E.A. (2018). Housing affordability trends and challenges in the Turkish case. Journal of Housing and the Built Environment, 1-20. https://doi.org/10.1007/s10901-018-9617-2 1
40. Scharer, C., Baranzini, A., Ramirez, J. V., Thalmann, P. (2008). Using the hedonic approach to value natural land uses in an urban area: application to Geneva and Zurich. Economie Publique= Public economics, (20), 1-23.
41. Soguel, N., Tangerini, A., Pictet, J. (2007). How to measure scope variables when no metrics exist: Application to landscape quality measurement and hedonic price evaluation. Revue D'économie Politique, 117(5), 827-841.
42. Soguel, N., Martin, M. J., Tangerini, A. (2008). The impact of housing market segmentation between tourists and residents on the hedonic price for landscape quality. Swiss Journal of Economics and Statistics, 144(4), 655-678. https://doi.org/10.1007/BF03399270
43. Stoiljković, B., Grozdanović, N. P., Stanković, V. (2020). Could house like apartments improve the residential quality of a city? The case of Niš, Serbia. Journal of Housing and the Built Environment (2020) 35:375–396 https://doi.org/10.1007/s10901-019-09687-7
44. Şahin, C. & Aşkın, M. (2020). A Study on Investigation of Apartment Gardens in Isparta City Center. Journal of Bartin Faculty of Forestry, 22 (2), 319-331. DOI: 10.24011/barofd.706049 (In Turkish).
45. Turcotte, D. A., Geiser, K. (2010). A framework to guide sustainable housing development. Housing and Society, 37(2), 87–117.
46. Turk, S. (2019). Private fnance integration to afordable housing production: a comparison between Copenhagen and Istanbul. Journal of Housing and the Built Environment https://doi.org/10.1007/s10901-018-09643-x 1
47. Vlahov, D., Agarwal, S.R., Buckley, R.M. et Al. (2011). Vlahov, D., Agarwal, S.R., Buckley, R.M., Caiaffa, W.T., Corvalan, C.F., Ezeh, A.C., ... , Watson, V.J. (2011). Roundtable on urban living environment research (RULER). Journal of Urban Health, 88(5), 793-857. https://doi.org/10.1007/s11524-011-9613-2
48. Willis, K., Garrod, G., (1991). An ındividual travel-cost method of evaluating forest recreation. Journal of Agricultural Economics, 42(1), 33-42. https://doi.org/10.1111/j.1477-9552.1991.tb00330.x
49. Wong, S., Y., Susilawati, C., Miller, W., Mardiasmo, D. (2020). Perspectives of Australian property practitioners on sustainability features in residential property. Journal of Housing and the Built Environment https://doi.org/10.1007/s10901-019-09726-3 1 3
50. Yao, Y., Zhu, X., Xu, Y., Yang, H., Wu, X., Li, Y. & Zhang, Y. (2012). Assessing the visual quality of green landscaping in rural residential areas: the case of Changzhou, China. Environmental Monitoring and Assessment, 184:951–967. https://doi.org/10.1007/s10661-011-2012-z
51. Yılmaz, F., Koç, A.A. (2018). Determination of the economic value of Beydaglar Coast National Park with travel cost and conditional valuation methods. Mediterranean I.I.B.F. Journal. 38: 1-22. (In Turkish). Zhang, C., Zhang, F. (2019). Efects of housing wealth on subjective well being in urban China. Journal of Housing and the Built Environment. 34:965–985 https://doi.org/10.1007/s10901-019-09651-5
52. Zhang, Z., Qiu, Z. (2019). The usage pattern and spatial preference of community facilities by elder people in rural environments. Journal of Housing and the Built Environment https://doi.org/10.1007/s10901-019-09707-6 1