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With high-speed urbanization and strict requirements on energy conservation and environmental protection, eco-city has become the priority of urban development in China. Governments of all levels promote various eco-city planning schemes within a short term, but most schemes are characterized by randomness and subjectivity. To solve the lack of scientific pre-implementation evaluation for eco-city planning and improve eco-city construction quality, a systematic analysis is conducted in this study from three dimensions, namely, eco-city planning scheme, operating mechanism, and guarantee measures. A 3D evaluation model for eco-city planning is constructed through index selection. Schemes are ranked comprehensively with the distance measure method, and projection analysis is performed with the four-grid evaluation screen. Finally, the 3D evaluation model is applied to evaluate eco-city planning for Shenzhen, Chongqing, and Weifang. Results show that the model can be used to evaluate eco-city planning schemes effectively and comprehensively and offers targeted optimization suggestions in accordance with the evaluation results. Construction of the 3D evaluation model of eco-city planning based on the distance measure to determine the reasonability of eco-city planning reduces the institutional and social costs of eco-city planning practices.

This paper aims to examine the event attendance motives and the underlying mechanism through which event attendance motives influence positive word-of-mouth (PWOM) and revisit intentions. It also investigates how event attendance motives differ by gender.

A self-completed survey administered in English among visitors to the 2016 Olympic Games generated 230 valid responses. Partial least squares-based structural equation modeling was applied to test research hypotheses.

Event attendance motives of esthetics and escape positively influence host city evaluation. Host city evaluation positively influences PWOM and revisit intentions. Host city evaluation mediates the relationship between event attendance motives (esthetics and escape) and behavioral intentions (PWOM and revisit intentions). Male Olympic tourists show significantly lower means in the motives of social bond and escape when compared with female Olympic tourists.

This study adds to the body of knowledge concerning Olympic tourists, their motives and behavioral intentions. Research findings indicate that event attendance motives influence PWOM and revisit intentions through the mediating effect of host city evaluation. Considering the noticeable paucity of gender analysis weakens the understanding of the Olympic tourist behavior, this study contributes to the literature by examining gender differences in Olympic attendance motives.

Socioeconomic aims and impacts are an explicit part of the UK City of Culture (UKCoC) application, bidding, delivery and evaluation stages. This article engages with existing debates on evaluating cities of culture and introduces perspectives from critical data studies to examine the collection and analysis of different data for the purposes of the CoC application and evaluation processes.

The meta-methodological concept of accompanying researcher is used to analyse the experiences of researchers based within a city bidding for UKCoC 2025 in dialogue with the evaluation reports from past UKCoC host cities.

Findings are analysed under three themes: defining data morsels; local histories and infrastructures of data generation and sharing; and resources, capacities and expertise for data generation and evaluation. The discussion examines data still to be generated and/or brought into relation; tensions around data and measurement; and how constructing an evaluation baseline is generative—creating new organisations, relationships and practices.

The conceptual and methodological approach and empirical findings will be relevant for academic, policymakers and practitioners engaging with cultural evaluation.

In focussing on the bidding stage in real time through the accompanying researcher position, this article presents original empirical insights into the process of creating a baseline for cities of culture evaluation. The conceptual originality of this article is in using critical data studies to explain strategies of data generation and analyse data relations and frictions.

The purpose of this paper is to examine the influence of the order in which a set of cities are visited to ascertain the effects of position on group tourists’ recall and evaluations.

Using a questionnaire, the views of highly experienced tour guides were analysed to provide preliminary insights about the likely occurrence of position effects. The topic was studied in Iran where a natural variation in the order of visiting cities on guided tours exists.

Credible and consistent evidence was found for the perceived effects of recency when considering tourists’ recall and evaluations. In particular, the influence was seen as clearly enhancing the recall and positive evaluation for the most high profile cities in the set of visited locations.

Replications of the position effect in other countries and for other kinds of tourism cities needs to be pursued, desirably by direct assessments of tourist’ views to buttress the present views held by guides.

Designing itineraries by making imaginative use of the effects of order on the tourists’ sequence of city visits should facilitate the memorability of destinations for tourists and benefit businesses.

Empirical evidence about order effects in multi-city tour itineraries has never been established. The study provides foundation evidence for such influences through a non-reactive and naturalistic assessment by tour guides who are in contact with varied itineraries and who regularly consider the experiences of diverse and large numbers of tourists.

Environmental performance becomes a key issue for the sustainable development. Recently, incremental information technology is adopted to collect environmental data and improve environmental performance. Previous environmental efficiency measures mainly focus on individual decision-making units (DMUs). Benefited from the information technology, this paper develops a new environmental efficiency measure to explore the implicit alliances among DMUs and applies it to Xiangjiang River.

This study formulates a new data envelopment analysis (DEA) environmental cross-efficiency measure that considers DMUs' alliances. Each DMUs' alliance is formulated by the DMUs who are supervised by the same manager. In cross-efficiency evaluation context, this paper adopts DMUs' alliances rather than individual DMUs to derive the environmental cross-efficiency measure considering undesirable outputs. Furthermore, the Tobit regression is conducted to analyze the influence of exogenous factors about the environmental cross-efficiency.

The findings show that (1) Chenzhou performs the best while Xiangtan performed the worst along Xiangjiang River. (2) The environmental efficiency of cities in Xiangjiang River is generally low. Increasing public budgetary expenditure can improve environmental efficiency of cities. (3) The larger the alliance size, the higher environmental efficiency. (4) The income level is negatively correlated with environmental efficiency, indicating that the economy is at the expense of the environment in Xiangjiang River.

This paper contributes to developing a new environmental DEA cross-efficiency measure considering DMUs' alliance, and combining DEA cross-efficiency and Tobit regression in environmental performance measurement of Xiangjiang River. This paper examines the exogenous factors that have influences on environmental efficiency of Xiangjiang River and derive policy implications to improve the sustainable operation.

The purpose of this paper is to offer a framework for the analysis and evaluation of city brands equity that is firmly anchored to the interdisciplinary characteristics of the city branding research domain.

The study builds upon a database of 217 articles dealing with the phenomena of city branding retrieved from Lucarelli and Berg.

City brands are understood by different scholars as being characterized by both intangible and tangible elements, properly researched adopting a mixture of different methods and endowing certain type of outcomes that concern both the more directly related image and identity of the city as well, to a larger extent, the socio‐political and economical aspects.

The study is based only on published English articles in the last 20 years.

The present paper suggests a framework that is based on the individualization of diverse city brand elements and the relations those have with the reported impact and the methodologies applied to reach this purpose. The framework can be used for both analyzing city brand equity research and practices. The paper contributes to the emerging field of city branding by offering a city brand equity framework that goes beyond the previous attempt in its interdisciplinary breath.

This study has two main objectives: (1) to expand the application areas of grey system theory and (2) to select the most livable city in Turkey.

Choosing the most livable city is a complex problem that requires many criteria to be considered. It is important to select decision points according to which the criteria selection will be made and to what extent the criteria will affect the evaluation. For this purpose, a questionnaire was prepared to determine the criteria to be used in the assessment. The survey results were evaluated by the factor analysis (FA) and it was found that the criteria included in the survey were grouped under seven factors. Then, criteria weights were assigned to the determined criteria using the analytic hierarchy process (AHP). At the last stage, Turkey's six most popular cities are graded using the grey relational analysis (GRA) to reduce the uncertainty existing in the process of evaluation.

The obtained results indicated that the most livable city in Turkey is Istanbul. Istanbul is followed by Izmir, Antalya, Eskisehir, Bursa and Ankara, respectively. Considering that Istanbul is a center of attraction in many respects, this result is not a surprise for many people. It is also observed that the results obtained overlap with similar studies in the literature.

Grey system theory and grey numbers have not been previously used to select the most livable city. With this aspect, this study has expanded the application of grey system theory and made an important contribution to the literature.

This article's purpose is to examine the case for the use of the theatre arts in the evaluation of UK City of Culture (UKCC) programmes, specifically headphone verbatim.

Through an analysis of secondary evidence, supported by some primary research, this article analyses past and present evaluation practices surrounding UKCC programmes and the case for headphone verbatim to be included as a method of gathering and distributing research data. The article also observes the challenges in how data may be disseminated through verbatim theatre performance practices, given the limited examples of its use in this context.

The author argues that the theatre arts can provide a different way of knowing and understanding the impacts of UKCC projects on the host city. Specifically, that headphone verbatim can bring an experiential perspective that is rarely if ever captured by existing UKCC evaluation methods and policymaking in general.

This article details an innovative method of evaluating social impacts associated with UKCC projects.

Inner city centers not only provide opportunities for shopping, dining, and entertainment, but with their lively atmosphere and other vital attributes, also create attractive destinations for residents and tourists alike. However, inner city retailing, potentially the most important reason to visit an inner city, is facing serious competition from e-commerce and out-of-town shopping malls. Dying inner city centers have become a severe issue in recent years, worldwide. To counteract this devastating trend and ensure the vitality and viability of inner city centers, stakeholders from the public and private sectors regularly join their forces in initiatives to strengthen urban structures. However, academic insights into the contribution of retailing on perceived city attractiveness remain sparse. Relying on an extensive data set that combines survey and observational data, the authors are able to quantify a variety of inner city characteristics, ranging from its store and service provider portfolio to its ambience and accessibility, and measure their association with its perceived attractiveness. They show that a city's portfolio of retail stores is not only related to people's perceptions of the city's overall attractiveness but also perceptions of its ambience. However, not all retail categories contribute the same way; while the presence of clothing stores or booksellers is strongly associated with cities' ambience as well as attractiveness, other retail categories such as optometrists or electronics stores are negatively associated with consumers' inner city perceptions. Importantly, these relationships also depend on the size of the focal city. Based on their results, the authors provide important managerial and societal implications on how to leverage the local retailing environment to improve inner city attractiveness. For example, the results may inform (local) governments on which sectors to subsidize in order to attract those store and service provider categories that benefit inner city attractiveness.