{"title":"Distribution of Electric Vehicle Travel in Dalian City of China","authors":"Jianshu Li, Lidong Fan, Bingmiao Chen","doi":"10.2174/012772316x270709231208101954","DOIUrl":"https://doi.org/10.2174/012772316x270709231208101954","url":null,"abstract":"\u0000\u0000Since the second half of 2021, the prices of natural gas, coal and oil\u0000have soared, but at the same time, the Russia-Ukraine conflict is likely to become a catalyst for\u0000Europe and the world to accelerate the green and low-carbon transformation of energy, prompting\u0000countries to accelerate investment in renewable energy, improve energy security and achieve\u0000energy independence and the energy crisis started in Europe and eventually spread around the\u0000world. Under the new circumstances, the global green and low-carbon energy transition is imperative.\u0000The International Energy Agency released the \"2023 Global Electric Vehicle Outlook\"\u0000report, which showed that global electric vehicle sales will grow by 35% in 2023 from the previous\u0000year to 14 million units, increasing the total share of the overall vehicle market to 18%.\u0000Replacing traditional fossil fuels with low energy consumption and low pollution has become a\u0000trend in the automotive industry.\u0000\u0000\u0000\u0000Therefore, this paper studies the travel distribution pattern of electric vehicles in Dalian\u0000city, which paves the way for the future development of the electric vehicle industry.\u0000\u0000\u0000\u0000First of all, this paper predicted the number of electric vehicles in Dalian in the next\u0000five years. Next, the gravity model and double-constraint gravity model were used to predict and\u0000analyze the travel generation, attraction and distribution of each traffic district. The gravity\u0000model is based on the concept of gravity in physics, this model can simulate the travel attraction\u0000between transportation communities. The dual constraint gravity model is an extension of the\u0000gravity model, taking into account the impact of factors other than distance on traffic distribution.\u0000For example, land type, land intensity utilization coefficient, etc. Finally, taking Shahekou\u0000District of Dalian city as an example, this paper made an empirical analysis of the travel distribution\u0000of electric vehicles in Shahekou District.\u0000\u0000\u0000\u0000This article fully considers the impact of land use types on residents' travel. Residential\u0000land is an important factor affecting travel volume, while public facility land is an important\u0000factor affecting attraction volume. For areas with high travel attractions, it is necessary to consider\u0000building more charging facilities around them to solve the problem of difficult charging.\u0000The distribution results showed that the amounts of travel in each traffic community were not\u0000much different, but their attraction volumes were greatly different.\u0000\u0000\u0000\u0000After understanding the distribution of electric vehicle traffic in various residential\u0000areas, it is possible to arrange the planning of public charging facilities more reasonably. The\u0000research provides practical guidance for the transportation planning of electric vehicles in such\u0000urban cities as Dalian city.\u0000","PeriodicalId":326709,"journal":{"name":"Current Social Sciences","volume":"20 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140409211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Consumer Trust in Online Advertising - How Negative Perception Impacts\u0000its Effectiveness","authors":"R. Nowacki, Alicja Fandrejewska","doi":"10.2174/012772316x276725240130110311","DOIUrl":"https://doi.org/10.2174/012772316x276725240130110311","url":null,"abstract":"\u0000\u0000Building trust in a product, brand, or company is an important part of\u0000forming a relationship between a company and consumers. One of the key factors influencing\u0000consumer trust is two-way communication. Advertising, as a powerful communication tool capable of attracting attention and evoking emotions, plays a pivotal role in this process. Its characteristic feature is a dynamic increase in importance; in Poland, it currently holds the first place in\u0000terms of advertising expenditures. Due to this growth, understanding the perception and effectiveness of online advertising becomes crucial in building trust with consumers.\u0000\u0000\u0000\u0000The study examines opinions concerning internet advertising and trust regarding its\u0000content. It explores attitudes, evaluation, purchase motivation, actual purchases made under the\u0000influence of online advertising, as well as consumers’ negative opinions about it.\u0000\u0000\u0000\u0000The discussion is based on a 2020 survey conducted among Polish internet users concerning the perception of online advertising and related negative associations. The survey included\u0000402 respondents, selected using the CAWI method, with a quota sample differentiated by gender,\u0000age, and place of residence.\u0000\u0000\u0000\u0000Results: The results revealed relatively low trust and effectiveness levels regarding online advertising, with no variation based on respondents' demographic characteristics. Most respondents\u0000(more than half of the respondents) indicated the excessive number of online advertisements, limited enthusiasm for advertisements, and low level of purchase incentive or actual motivation (rates\u0000below 10%), and strongly agreed with negative statements about online advertising.\u0000\u0000\u0000\u0000The findings confirm the thesis of a general perception of online advertising as a\u0000threat to conscious consumption.\u0000","PeriodicalId":326709,"journal":{"name":"Current Social Sciences","volume":"14 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}