سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,225
تعداد مقالات67,685
تعداد مشاهده مقاله114,996,101
تعداد دریافت فایل اصل مقاله89,668,127
زینالی عظیم, علی. (1401). تحلیل دل‌بستگی مکانی در شهر تبریز با به‌کارگیری مقیاس شهرهای هوشمند در دوران بیماری کووید 19. , 10(3), 65-80. doi: 10.22059/jurbangeo.2022.342120.1687
علی زینالی عظیم. "تحلیل دل‌بستگی مکانی در شهر تبریز با به‌کارگیری مقیاس شهرهای هوشمند در دوران بیماری کووید 19". , 10, 3, 1401, 65-80. doi: 10.22059/jurbangeo.2022.342120.1687
زینالی عظیم, علی. (1401). 'تحلیل دل‌بستگی مکانی در شهر تبریز با به‌کارگیری مقیاس شهرهای هوشمند در دوران بیماری کووید 19', , 10(3), pp. 65-80. doi: 10.22059/jurbangeo.2022.342120.1687
زینالی عظیم, علی. تحلیل دل‌بستگی مکانی در شهر تبریز با به‌کارگیری مقیاس شهرهای هوشمند در دوران بیماری کووید 19. , 1401; 10(3): 65-80. doi: 10.22059/jurbangeo.2022.342120.1687

تحلیل دل‌بستگی مکانی در شهر تبریز با به‌کارگیری مقیاس شهرهای هوشمند در دوران بیماری کووید 19

پژوهش‌های جغرافیای برنامه‌ریزی شهری
مقاله 5، دوره 10، شماره 3، آبان 1401، صفحه 65-80    اصل مقاله (1.27 M)
نوع مقاله: پژوهشی - کاربردی
شناسه دیجیتال (DOI): 10.22059/jurbangeo.2022.342120.1687
نویسنده
علی زینالی عظیم*
گروه معماری و شهرسازی، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
چکیده
استفاده از فناوری‌های جدید در شهر هوشمند بالأخص در فضاهای شهری روزبه‌روز بیشتر می‌شود؛ بااینکه بیشتر این فناوری‌ها به‌عنوان نشانه‌ای از پیشرفت در زندگی و روشی برای راحتی زندگی در شهرها موردپذیرش و ستایش قرارگرفته‌اند، بااین‌حال، برخی چنین تصور می‌کنند که فناوری‌ها، اختلالاتی در شهر محل سکونت آن‌ها ایجاد نموده است. بنابراین در پیاده‌سازی شهر هوشمند باید نظرات شهروندان و دغدغه‌های آن‌ها در نظر گرفته شود. پژوهش حاضر توصیفی- تحلیلی با بهره‌گیری از ابزارهای پیمایشی در دستیابی به هدف توسعه دل‌بستگی به مکان‌های شهری، در پی پاسخ به این سؤال است که چه ارتباطی میان دل‌بستگی عاطفی- مکانی که در دو بعد سنتی و فعال مطرح می‌گردد، با پذیرش فناوری‌های هوشمند بالأخص در نمونه موردی پژوهش و جو دارد؟ برای جامعه آماری جمعیت شهر تبریز که برابر ۱۵۹۳۳۷۳ نفر می‌باشد، حجم نمونه از طریق فرمول کوکران برابر 384 نفر به دست آمد. پایایی سؤالات با آلفای کرونباخ برابر 88/0 شد. برای تحلیل از نرم‌افزارهای آماری استفاده‌شده است. یافته‌ها نشان داد ابعاد فناوری‌های نظارتی روزانه، فناوری‌های توانمند ساز، فناوری‌های نظارت بر Covid-19 و دل‌بستگی فعال با ضریب تأثیر 412/0، 385/0، 316/0 و 301/0 بیشترین اثرات را بر دل‌بستگی مکانی با فناوری‌های شهر هوشمند داشته است و کمترین تأثیرگذاری مربوط به دل‌بستگی مکانی سنتی با ارزش 191/0- می‌باشد. در نتیجه هرچقدر کیفیت فناوری‌های نظارتی (سلامتی) و توانمندسازی، فناوری نظارت بر Covid-19 ارتقا داده شود، به همان نسبت نیز میزان دل‌بستگی در شهر تبریز بهبود خواهد یافت.
کلیدواژه‌ها
دل‌بستگی مکانی؛ شهر هوشمند؛ فناوری جدید؛ Covid-19؛ شهر تبریز
عنوان مقاله [English]
Analysis of place attachment in the city of Tabriz by using the scale of smart cities during the Covid-19 disease
نویسندگان [English]
Ali Zeynali Azim
Department of Architecture and Urban Planning, Tabriz Branch, Islamic Azad University, Tabriz, Ira
چکیده [English]
A B S T R A C T
The use of new technologies in the smart city, especially in urban spaces, is increasing day by day; Although most of these technologies have been accepted and praised as a sign of progress in life and a method for the comfort of living in cities, however, some people think that technologies have created disturbances in the city where they live. Therefore, in the implementation of the smart city, the opinions of the citizens and their concerns should be considered. The current descriptive-analytical research, using survey tools to achieve the goal of developing an attachment to urban places, seeks to answer the question of what is the relationship between emotional attachment to a place that is raised in two dimensions, traditional and active, with the adoption of smart technologies, especially In a case study, does it have an atmosphere? For the statistical population of Tabriz city, which is equal to 1593373 people, the sample size was obtained through Cochran's formula equal to 384 people. The reliability of the questions with Cronbach's alpha was equal to 0.88. Statistical software was used for analysis. The findings showed that the dimensions of daily monitoring technologies, empowering technologies, Covid-19 monitoring technologies, and active attachment with the influence coefficient of 0.412, 0.385, 0.316, and 0.301 had the greatest effects on location attachment with smart city technologies. and the lowest impact is related to attachment to a traditional place with a value of -0.191. As a result, the more the quality of monitoring (health) technologies and empowerment, of the technology of monitoring Covid-19, is improved, the level of attachment in the city of Tabriz will be improved in the same proportion.
Extended Abstract
Introduction
Understanding the attitudes of residents towards technological change can be very important, because technology can not be considered ineffective. Numerous studies have shown that new technologies have a great impact on social life and the quality of personal relationships, the concept of proximity; And change the ideas of authority, privacy, freedom and democracy. With these issues in mind, the fundamental challenge for city managers and businesses is to identify and understand the characteristics of individuals who make technological change less acceptable than others. Our argument is that because new urban technologies will inevitably change both the urban space and the lives of residents, then the connections of residents with place, in other words, spatial attachment should be considered in the policies and plans of the city of Tabriz. The innovation aspect of the research is that no research has been done in this regard in the country, especially in the city of Tabriz, and it is happening for the first time. Also, recognizing the difference between active and traditional types of attachment allows us to respond to ambiguous results regarding the relationship between attachment and attitudes toward change in the city of Tabriz compared to the smart city. In addition, we examined the relationship between spatial attachment and the acceptance of future technologies improved by existing smart city technologies, and the use of current technologies by the acceptance of new technologies in reducing and preventing the spread of Covid 19 in public places. The city of Tabriz.
 
Methodology
 We measured the degree of attachment to the city with a modified version of the Spatial Attachment Scale presented by Lewicka (2011). Two dimensions of active and traditional attachments were used. Active location attachment was measured on a five-item scale (for example, "I like to explore my city and discover new places"). Cronbach's alpha was measured at 0.89. We rated the traditional spatial attachment on a three-item scale (for example, "I never thought of another place to live") at Cronbach's alpha of 0.89. Participants answered a seven-point Likert scale (1 = "strongly disagree" to 7 = "strongly agree"). In the analysis, the average value of
 
 the relevant items is used. Acceptance of future technologies in the smart city was measured by three scales, the first scale related to empowerment technologies (for example, "computer programs designed for conversations (ie call bots) that replace offices in the first contact with residents, etc.), Cronbach's alpha was 0.82, the second scale for day-to-day surveillance technologies (for example, "surveillance cameras with automatic face recognition system to identify people who break the law, etc."), Cronbach's alpha was 0.85, And the third scale refers to anti-Quad technologies 19 designed to counter epidemics (For example, "programs based on automatic location of users that inform them in which places there is a risk of contracting the corona virus and etc") and Cronbach's alpha was 0.87. Analysis was performed using Amos software and path analysis was performed from the path analysis framework with Mplus software version 8. From the maximum likelihood estimation (MLR) to explain the normal violation Multivariate was used.
 
Results and discussion
The findings show that the dimensions of daily surveillance technologies, enabling technologies, monitoring technologies Covid-19, surveillance technologies, active attachment have a positive and direct effect, and traditional attachment has a direct and negative effect, as well as traditional attachment dimensions, daily surveillance technologies and Covid-19 indirectly affect the spatial attachment of smart city technologies. The dimensions of daily surveillance technologies, Covid-19 monitoring technologies indirectly have a positive effect and traditional attachment indirectly has a negative and diminishing effect on smart city technologies of Tabriz city, and also traditional attachment dimension with smart city technologies of Tabriz city has no meaning. According to the obtained findings, dimensions of daily surveillance technologies, enabling technologies, monitoring technologies Covid-19, technologies, active attachment with impact coefficient of 0.412 and 0.385, 0.316 and 0.301 had the most effects on spatial attachment with smart city technologies and the least negative effect was related to traditional spatial attachment with a value of -0.191. The results show that there is a positive relationship between independent variables and dependent variable (spatial attachment) with confidence level of 0.99% correlation.
 
Conclusion
 The use of existing technologies in the city of Tabriz completely moderates the positive relationship between active spatial attachment and the adoption of monitoring and empowerment technologies. Therefore, an active relationship with the city also includes the active use of existing technologies. And further leads to a very positive attitude towards future monitoring and empowerment technologies. In addition, the use of smart city technologies in the city of Tabriz to some extent moderates the negative impact of traditional attachment on the acceptance of empowerment technologies. Therefore, it is possible that the relationship between traditional connection with place and attitude towards empowerment technologies can be explained not only by the current activity related to smart city technologies but also by the type of mental framework and values ​​related to traditional spatial attachment. Future studies could also examine the mechanism behind the relationship between traditional spatial attachment and regulatory technologies. Because people with traditional attachments are usually more concerned about the stability and protection of their place of residence than their counterparts, and examining individual differences that may underlie the relationship between this type of spatial attachment and the adoption of surveillance technologies. Commitment to the city and the adoption of future technologies, especially surveillance technologies, may be influenced by other related factors, such as residents' support for municipal innovations or trust in city council actions, which can be considered as possible mediators in future studies be placed.
کلیدواژه‌ها [English]
Place attachment, Smart City, New Technology, Covid-19, Tabriz City
مراجع
  1. بصیری، مصطفی و زینالی عظیم، علی. (1398). تأثیر مبلمان شهری بر کیفیت محیط‌زیست شهری (مطالعه موردی محدوده خیابان امام تبریز از میدان ساعت تا آب‌رسان). جغرافیا (برنامه‌ریزی منطقه‌ای)، 9(3)، 229-248.
  2. پورجعفر، محمدرضا؛ ایزدی، محمد سعید و خبیری، سمانه. (1394). دل‌بستگی مکانی؛ بازشناسی مفهوم، اصول و معیارها. هویت شهر، 9(34)، 43-64.
  3. خبیری، سمانه؛ پورجعفر، محمدرضا و ایزدی، محمد سعید. (1400). دل‌بستگی مکانی در مقیاس محله: مرور نظام‌مند دو دهه مقالات پژوهشی در ایران. معماری و شهرسازی آرمان‌شهر، 14(34)، 193-205.
  4. شهبازی، امیر حمزه. (1398). تبیین اثر قومیت بر دل‌بستگی مکانی در شهرهای چند قومی پژوهش موردی: مناطق یک و دو شهر زاهدان. برنامه‌ریزی فضایی، 9(4)، 1-16.
  5. میرزامحمدی، احمد؛ باقرزاده کثیری، شهره و زینالی عظیم، علی. (1399). تحلیل طراحی و معماری مجتمع مسکونی پایدار با تأکید بر روان‌شناسی محیطی از بعد حس تعلق به مکان (مطالعه موردی: برج‌های آسمان تبریز). اندیشه معماری، 4(8)، 105-119.
  1. Adhikari, S., Manda, A., & Guha, A. (2021). Place Attachment and Decisions to Move: A Study of Indian Migrants during Covid-19 Pandemic and Directions to Future Research. Journal of Medicinal and Chemical Sciences, 4(5), 444-451,
  2. Al-Azzam, M., & Alazzam, M.B. (2019). Smart city and smart-health framework, challenges and opportunities”. J. Adv. Comput. Sci. Appl, 10, 171-176.
  3. Allam, Z., & Jones, D. S. (2021). Future (post-COVID) digital, smart and sustainable cities in the wake of 6G: Digital twins, immersive realities and new urban economies. Land Use Policy, 101, 1-12. 105201.
  4. Ariccio, S., Petruccelli, I, Ganucci Cancellieri, U, Quintana, C., Villagra, P., & Bonaiuto, M. (2020). Loving, leaving, living: Evacuation site place attachment predicts natural hazard coping behavior. Journal of Environmental Psychology, 135, 1-45, 101431.
  5. Artyushina, A. (2020). Is civic data governance the key to democratic smart cities? The role of the urban data trust in Sidewalk Toronto. Telematics and Informatics, 56, 1-13, 101456.
  6. basiri, M., & zeynali azim, A. (2019). The study of urban furniture on quality of urban environment (A case study of around Tabriz Imam Street from Saat Square to Abresan). Geography (Regional Planning), 9(3), 229-248. [In Persian].
  7. Belanche, D., Casaló, L. V., & Orús, C. (2016), City attachment and use of urban services: Benefits for smart cities. Cities, 50, 75-81.
  8. Birnbaum, L., Wilhelm, C., Chilla, T., & Kr¨oner, S. (2021). Place attachment and digitalisation in rural regions. Journal of Rural Studies, 87, 189-198,
  9. Bohloul, S.M. (2020), Smart Cities: A Survey on New Developments, Trends, and Opportunities. Ind. Integr. Manag, 5(3), 311-326.
  10. Boley, B. B., Strzelecka, M., Yeager, E. P., Ribeiro, M. A., Aleshinloye, K. D., Woosnam, K. M., & Mimbs, B. P. (2021). Measuring place attachment with the Abbreviated Place Attachment Scale (APAS). Journal of Environmental Psychology, 74, 1-12. 101577.
  11. Campisi, T., Severino, A., Al-Rashid, M. A., & Pau, G. (2021). The Development of the Smart Cities in the Connected and Autonomous Vehicles (CAVs) Era: From Mobility Patterns to Scaling in Cities. Infrastructures, 6(7), 1-21, 100.
  12. Chen, N., Dwyer, L., & Firth, T. (2018). Residents place attachment and wordof-mouth behaviours: a tale of two cities. Hosp. Tour. Manag, 36, 1-11.
  13. Gurjanov, A. V., Zakoldaev, D. A., Shukalov, A. V., & Zharinov, I. O. (2020). The smart city technology in the super-intellectual Society 5.0. Journal of Physics: Conference Series, 1679, 1-6, 032029.
  14. Hantrais, L., Allin, P., Kritikos, M., Sogomonjan, M., Anand, P. B., Livingstone, S. Innes, M. (2020). Covid-19 and the digital revolution. Contemporary Social Science, 16(2), 1-15.
  15. James, P., Das, R., Jalosinska, A., & Smith, L. (2020). Smart cities and a data-driven response to COVID-19. Dialogues in Human Geography, 2(10), 1-5.
  16. Jaššo, M., & Petríková, D. (2019). Towards Creating Place Attachment and Social Communities in the Smart Cities”. Power Systems, 401-411.
  17. Khabiri, S., Pourjafar, M., & Izadi, M. (2021). Place Attachment at the Neighborhood Scale: A Systematic Review of Two Decades of Research in Iran. Armanshahr Architecture & Urban Development, 14(34), 193-205. [In Persian].
  18. Lewicka, M. (2011). On the varieties of people’s relationships with places: Hummon’s typology revisited. Environment and Behavior, 43(5), 676-709.
  19. Löfgren, K., & Webster, C. W. R. (2020). The value of Big Data in government: The case of smart cities. Big Data & Society, 7(1), 1-14.
  20. Maguire, B., & Klinkenberg, B. (2018). Visualization of place attachment. Applied Geography, 99, 77-88.
  21. Manzo, L. C., & Devine-Wright, P. (eds.) (2020). Place Attachment. Advances in Theory, Methods and Applications. and edition. Abingdon, PublisherUK: Routledge,
  22. Maricchiolo F., Mosca, O., Paolini, D., & Fornara, F. (2021), The Mediating Role of Place Attachment Dimensions in the Relationship Between Local Social Identity and Well-Being. Front Psychol, 12, 1-12, 645648.
  23. Mirzamohammadi, A., Bagherzadeh Kasiri, S., Zeynaly Azim, A. (2020). Design and Architecture Analysis of Sustainable Residential Complex with Emphasis on Environmental Psychology from the Sensibility of Place (Case Study: Tabriz Aseman Towers). Journal of Architectural Thought, 4(8), 105-119. [In Persian].
  24. Nicolais, C., Perry, J. M., Modesti, C., Talamo, A., & Nicolais, G. (2021). At Home: Place Attachment and Identity in an Italian Refugee Sample. International Journal of Environmental Research and Public Health, 18(16), 73-82.
  25. Paniotova-Maczka, D., Matczak, P., & Jabkowski P. (2021). “Place Attachment and Views on Tree Management”. Psychol, 12, 1-10.
  26. Pourjafar, M., Izadi, M., khabiri, S. (2016). Place Attachment; Conceptualization, Principals and Criteria. Hoviatshahr, 9(24), 43-54. [In Persian].
  27. Rahman, M. A., Hossain, M. S., Showail, A. J., Alrajeh, N. A., & Alhamid, M. F. (2021). A secure, private, and explainable IoHT framework to support sustainable health monitoring in a smart city. Sustainable Cities and Society, 72, 1-24, 103083.
  28. Rahman, M.M., Manik, M.M.H., Islam, M.M., Mahmud, S., & Kim, J.H. (2020). An Automated System to Limit COVID-19 Using Facial Mask Detection in Smart City Network. In Proceedings of the 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Vancouver, BC, Canada, 9-12 September 2020. 1-15.
  29. Razem, M. (2020). Place Attachment and Sustainable Communities. Architecture- MPS, 17(1), 1-23.
  30. Romolini, M., Ryan, R. L., Simso, E. R., & Strauss, E. G. (2019). Visitors attachment to urban parks in Los Angeles, CA. Urban Forestry & Urban Greening, 41, 118-126.
  31. Rutha, N. M. H., & Abbas, S. S. (2021). The Role of Technology in Enhancing Place Attachment in Public Place. IOP Conference Series: Materials Science and Engineering, 1094(1), 1-17.
  32. Sakellarides, C. (2020). From Viral City to Smart City: Learning from Pandemic Experiences. Acta Médica Portuguesa, 33(13), 359-361.
  33. Sari, P., Munandar, A., & Fatimah, I. S. (2018). Perception of place attachment between cultural heritage in Yogyakarta City. IOP Conference Series: Earth and Environmental Science, 179, 1-12, 012012.
  34. Shahbazi, A. (2019). Explaining the Effect of Ethnicity on Place Attachment in Multi-ethnic Cities Case Study: District One and Two of Zahedan City. Spatial Planning, 9(4), 1-16. [In Persian].
  35. Shahbazi, A. (2019). Explaining the effect of ethnicity on spatial attachment in multi-ethnic cities Case study: areas one and two of Zahedan city. Spatial Planning, 9 (4), 1-16. [In Persian]
  36. Sharifi, A., Khavarian-Garmsir, A. R., & Kummitha, R. K. R. (2021). Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review. Sustainability, 13(14), 1-28..
  37. Tenney, M., Garnett, R., & Wylie, B. (2020). A theatre of machines: Automata circuses and digital bread in the smart city of Toronto. The Canadian Geographer / Le Géographe Canadien, 64, 388-401.
  38. Toh, C. K., Sanguesa, J. A., Cano, J. C., & Martinez, F. J. (2020). Advances in smart roads for future smart cities. Proceedings of the Royal Society A: Mathematical. Physical and Engineering Sciences, 476, 1-24.
  39. Trąbka, A. (2019). From functional bonds to place identity: Place attachment of Polish migrants living in London and Oslo. Journal of Environmental Psychology, 62, 67-73.
  40. Wnuk, A., Oleksy, T., Maison, D., & Capraro, V, (2020). The acceptance of Covid-19 tracking technologies: The role of perceived threat, lack of control, and ideological beliefs. PLOS ONE, 15(9), e0238973.
  41. Zahnow, R., & Tsai, A. (2019). Crime Victimization, Place Attachment, and the Moderating Role of Neighborhood Social Ties and Neighboring Behavior. Environment and Behavior, 53(1), 40-68.
  42. Zhu, D., Jia, Z., & Zhou, Z. (2021), Place attachment in the Ex-situ poverty alleviation relocation: Evidence from different poverty alleviation migrant communities in Guizhou Province, China. Sustainable Cities and Society, 75, 1-12.
آمار
تعداد مشاهده مقاله: 303
تعداد دریافت فایل اصل مقاله: 114


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب