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تحلیل فضایی تغییرات مسافران حمل‌ونقل عمومی (اتوبوس‌‌‌های درونشهری) در دوران پاندمیکرونا در شهر مشهد | ||
| مطالعات ساختار و کارکرد شهری | ||
| دوره 9، شماره 33، دی 1401، صفحه 71-97 اصل مقاله (2.1 M) | ||
| نوع مقاله: مقاله استخراج از رساله و پایان نامه | ||
| شناسه دیجیتال (DOI): 10.22080/usfs.2022.23542.2258 | ||
| نویسندگان | ||
| عاطفه نایبی پور1؛ مصطفی امیرفخریان* 2؛ محمدرحیم رهنما3 | ||
| 1دانشجوی کارشناسی ارشد جغرافیا و برنامه‌ریزی شهری دانشگاه فردوسی، مشهد، ایران | ||
| 2استادیار جغرافیا و برنامه‌ریزی شهری دانشگاه فردوسی، مشهد، ایران. | ||
| 3استاد جغرافیا و برنامه‌ریزی شهری دانشگاه فردوسی، مشهد، ایران | ||
| تاریخ دریافت: 29 اردیبهشت 1401، تاریخ بازنگری: 01 تیر 1401، تاریخ پذیرش: 01 آبان 1401 | ||
| چکیده | ||
| حمل‌ونقل عمومی از محور‌‌های مهم متأثر از پاندمیکرونا است. بر این اساس مطالعۀ حاضر به دنبال آن است تا تحلیلی جامع از تغییرات مسافران اتوبوس‌‌‌های شهری در دوران کرونا در شهر مشهد ارائه کند و نشان دهد که بالاترین شدت تغییرات در کجاست، چگونه است و چه عواملی در ارتباط با آن قابل شناسایی است. روش مطالعه توصیفی-تحلیلی، متغیر‌‌های تحقیق شامل 22 متغیر از ویژگیهای اجتماعی (۸متغیر)، اقتصادی (10متغیر) و کالبدی (4متغیر) و مقیاس مطالعه نیز شامل ۳۶۰۰ ایستگاه اتوبوس درونشهری در ۱۲۰۰حوزۀ آماری شهر مشهد است. بازۀ زمانی شامل داده‌‌‌های سازمان اتوبوس‌رانی در قبل از کرونا (زمستان1397 تا زمستان1398) و بعد از کرونا (اسفند1398تا شهریور1400) است. تکنیک‌‌‌های مورد‌استفاده شامل 1)روش‌‌های آمار کلاسیک همچون "تیزوجی"، "همبستگی" و "رگرسیون" و 2)روش‌‌های تحلیل فضایی نظیر"درونیابی" و "خودهمبستگی فضایی دو طرفه موران"است. نتایج، حاکی از تفاوتِ معنادار در تغییراتِ تعدادِ مسافران در پهنۀ فضایی شهر مشهد است. به‌گونه‌ای که در16.5% از ایستگاهها (602ایستگاه)، تعداد مسافران پس از کرونا با افزایش معنادار و در83.5% با کاهش همراه بوده‌است. ارزیابی متغیر‌ها حاکی از ارتباط معکوس تغییرات تعداد مسافران ایستگاهها با متغیر‌‌های سطح تحصیلات بالا و تعداد سالمندان (درویژگی‌‌های اجتماعی)، مالکیت مسکن، میانگین درآمد، مالکیت خودرو و شاغلین زن (در ویژگیهای اقتصادی) و ارتباط مستقیم با متغیر‌‌های اقلیت‌‌‌های مذهبی و سطح تحصیلات پایین (در ویژگیهای اجتماعی)، جمعیت زیر خطفقر، تعداد کارگران ساده، تعداد شاغلین مرد و مالکیت استیجاری مسکن (در ویژگیهای اقتصادی) و فاصله تا محور فعالیت، دسترسی به مراکز درمانی و فاصله به محدوده‌های پیرامونی شهر (در ویژگیهای کالبدی) دارد. از سوی دیگر نتایج نشان داد که از نظر شمولیت، متغیر‌‌های اجتماعی و از نظر شدت، متغیر‌‌های اقتصادی بیشترین ارتباط را با تغییرات تعداد مسافران پس از کرونا دارند | ||
| کلیدواژه‌ها | ||
| ایستگاه‌‌های اتوبوس؛ پاندمیکرونا؛ تحلیل فضایی؛ شهر مشهد | ||
| عنوان مقاله [English] | ||
| Spatial Analysis of Changes in Public Transport Passengers (City Buses) during the Corona Pandemic in Mashhad | ||
| نویسندگان [English] | ||
| Atefeh Nayebi Pour1؛ Mostafa Amirfakhrian2؛ Mohamad Rahim Rahnama3 | ||
| 1M.Sc. from Ferdowsi University of Mashhad | ||
| 2Assistant Professor of Ferdowsi University of Mashhad | ||
| 3Professor of Ferdowsi University of Mashhad | ||
| چکیده [English] | ||
| The present study seeks to provide a comprehensive analysis of the changes in the passengers of the city buses during the corona pandemic in Mashhad. The study method is descriptive-analytical, the research variables include 21 variables of social, economic characteristics and physical characteristics, and the study scale includes 3600 bus stations in 1200 statistical areas of Mashhad. The time period includes the data of the bus organization before the Corona outbreak (winter 2019 to winter 2020) and after it (March 2020 to September 2021). The techniques used include 1) classical statistical methods, such as "paired t", "correlation", and "regression", as well as 2) spatial analysis methods, such as "interpolation" and "Moran two-way spatial autocorrelation". The results indicate a significant difference in the number of the passengers in Mashhad. In 16.5% of the stations (602), the number of the passengers has increased significantly after the Corona and in 83.5% stations, it has decreased. Also, an inverse relationship was observed between the changes in the number of the station passengers with the variables of higher education, the number of elderly, housing ownership, average income, car ownership and female employees. Moreover, a direct relationship was observed with religious minority, low level of education, population below the poverty line, number of simple workers, number of male employees, rental ownership of housing, distance to the center of activity, access to medical centers, and distance from the informal settlement. The results showed that social variables in inclusion, and economic variables in severity were most related to the changes in the number of the passengers after the corona | ||
| کلیدواژه‌ها [English] | ||
| Bus stations, Corona pandemic, Mashhad, Spatial analysis | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 458 تعداد دریافت فایل اصل مقاله: 194 |
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