Assessment of Citizens' Satisfaction with Intra-City Transportation System in Hamedan City Using Non-Lainer Models and Artificial Neural Network

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ABBASI HAMED

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Journal: JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE) Year:2019 | Volume:13 | Issue:4 (45) Page(s): 935-950

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Title

Assessment of Citizens' Satisfaction with Intra-City Transportation System in Hamedan City Using Non-Lainer Models and Artificial Neural Network

Author(s)

ABBASI HAMED | Issue Writer Certificate

Keywords

TransportationQ2

SatisfactionQ1

NonLainer RegressionQ1

Artificial Neural NetworkQ2

HamadanQ2

Abstract

EXTENDED ABSTRACT Introduction One of the problems of the present-day urban community is the unnecessary process of increasing the migration to metropolitan areas, and as a result of the imbalance between urban infrastructure and urban sprawl with the growth of population and increasing the traffic of private cars at the city level. All of this has resulted in a significant increase in the time of displacement, increased accidents, noise pollution and the near-reaching levels of air pollution at the borders of human health threats. Quality is one of the key dimensions in Satisfaction assessments. The quality is the sum of the features and characteristics of a product or service, and it has the ability to satisfy the expressed or even tacit needs of the customer and create Satisfaction. The current Transportation system of Hamedan has major problems such as traffic congestion in the parts connected to the city center, low share of public Transportation, high contribution to unofficial passengers and passengers, failure to comply with hierarchy of access, increasing interurban travel distance. Accordingly, the purpose of this study is to evaluate the performance of Transportation system and its various elements in Hamedan. Therefore, the paper tries to process appropriate modeling of citizens' Satisfaction from this system in order to identify the factors and variables that play an important role in improving Satisfaction Satisfaction. Methodology The research method is descriptive-analytic. The data were collected as documentary and survey. In the documentary style, the indicators were extracted and these indicators were arranged in the form of a questionnaire. Finally, a questionnaire was distributed among the sample population. The statistical population of this research is citizens of Hamedan. Using Cochran's formula, 320 people were selected by simple random sampling as sample size. To analyze the data, two nonLainer statistical methods and artificial intelligence were used. Identifying the effective factors and variables in the appropriate transport, comparative comparisons between the two models based on their results. Result and Discussion In the nonLainer model, the range of computational data is limited by the model relative to observational data, that is, the lowest and maximum estimated by the model are more and less than observational data, and in some observations, the model can not provide optimal flexibility. But the neural network model has been properly trained and validated. Because output statistics from this model show very close proportions in all parts of the model. That is, the construction of the model focuses on the fact that the output model is of a resilient capacity. This model reduced the amount of output error to 6 times the output error of the final model of NonLainer Regression. Also, the limited range that was found in the amount of Satisfaction calculated by the NonLainer Regression model was prominently raised in the neural network model. On the other hand, the component of management and service style had the highest share in the coefficient of variation of independent variables affecting Satisfaction. In relation to determining the contribution of important factors on Transportation, pricing indices (0. 885), equality and welfare (0. 759), travel demand reduction (0. 790), land use desirability (0. 512), resource efficiency ( 0. 48), security (0. 4), adjacent land use (0. 336), land use compatibility (308/0), affordability (0. 241), environmental pollution reduction (0. 219), development Social (195/0), comprehensive planning (180/0) and system integration (112/0) were respectively the most effective factors in transport service Satisfaction modeling. Conclusion The Satisfaction of the Transportation system is due to the harmony between expectations and product. Such a product is due to combined actions in the areas of facilities and equipment, physical structure and management, and service delivery. The research findings showed that the Hamedan metropolitan transport network is not well-positioned. The average of total respondents' scores relative to the indicators in the Likert scale (2. 76), which is also lower than the average (3). Also, based on regression model, pricing (0. 883), equality and welfare (0. 759) and decrease in demand for travel (0. 790) are the most effective indicators for citizens' Satisfaction with urban transport network. Also, the results of the research showed that due to the limited resources in the city, the expansion and development of urban road network is not the only solution for Transportation problems. But also to increase the efficiency and effectiveness that results in Satisfaction A set of indicators such as integrated management, community development, resource efficiency, attention to social justice and welfare, citizenship education, adherence to neighborliness criteria and compatibility, etc. are needed together.

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APA: Copy

ABBASI, HAMED. (2019). Assessment of Citizens' Satisfaction with Intra-City Transportation System in Hamedan City Using Non-Lainer Models and Artificial Neural Network. JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE), 13(4 (45) ), 935-950. SID. https://sid.ir/paper/176082/en

Vancouver: Copy

ABBASI HAMED. Assessment of Citizens' Satisfaction with Intra-City Transportation System in Hamedan City Using Non-Lainer Models and Artificial Neural Network. JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE)[Internet]. 2019;13(4 (45) ):935-950. Available from: https://sid.ir/paper/176082/en

IEEE: Copy

HAMED ABBASI, “Assessment of Citizens' Satisfaction with Intra-City Transportation System in Hamedan City Using Non-Lainer Models and Artificial Neural Network,” JOURNAL OF THE STUDIES OF HUMAN SETTLEMENTS PLANNING (JOURNAL OF GEOGRAPHICAL LANDSCAPE), vol. 13, no. 4 (45) , pp. 935–950, 2019, [Online]. Available: https://sid.ir/paper/176082/en

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