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A lesson has been learned from the pandemic experience that less damages to the environment and realizing more social responsibilities would be the direction of the post-pandemic period globally. The purpose of this study is to focus on identifying the appropriate determinants of the proposed urban travel behavior model to develop Smart Mobility in Smart Cities to protect the environment. Potential to realize Smart Cities with infrastructure development has been explored in this study if road users are keen to combat climatic change which is clear from the challenges of flattening the infection rate through the enforcement of rules and regulations by the various government.

The proposed urban travel behavior model includes sub-drivers for each of the main drivers in the theory of interpersonal behavior (TIB). These sub-drivers emphasize in forming intentions to perform the behavioral changes while driving on urban roads during COVID-19 and post-pandemic periods. A primary online survey was conducted among road commuters in the most crowded place in Malaysia, the Greater Kuala Lumpur. A total of 383 respondents who frequently drive on road during the past one year were surveyed for this study. This data analysis of this quantitative study applied a partial least squares-structural equation modeling approach to determine the significant findings and results.

The significant findings of the study reveal that environmental consciousness and timely deviation in driving during traffic congestion are positively and significantly influencing the travel behavior performance (TBP) of commuters on urban roads. On the other hand, wet conditions due to weather, narrow road infrastructure and habits of road commuters are negatively influencing TBP. Social responsibility is positively and significantly influencing TBP through the mediating effect of the intention of road commuters’ behavior.

The current environmental concerns and societal adherence efforts in breaking the chain of the infectious COVID-19 among people can be manifested to develop Smart Cities with less air and noise pollution in the future. In this context, the present study proposes an urban travel behavior model and tests for its suitability of a greener and cleaner environment for the benefit of future generations. The limitation of the present study is that travel hazards are not included in the framework, as it is a topic of its own volume.

It is timely to implement Smart Mobility on road business models for Smart Cities as the consequences of the pandemic make us to realize the importance of environmental concerns and the social responsibilities of everyone. TIB considers four drivers, namely, attitude, subjective norm, affect and habit which induce intention to perform behavioral decisions. The novelty of the present study is the development of sub-drivers for these four drivers in the context of the urban travel behavior model.

Global issues on the environment, such as climate change, air pollution and carbon monoxide emission, are the primary concerns in any part of the world. The purpose of this paper is to construct a conceptual framework for the travel behavior performance of a commuter, and it is expected to mitigate air pollution from vehicle emission and to promote smart mobility on the road.

From the extensive literature review, the conceptual framework for the travel behavior performance of a commuter has been developed and is supported by the theory of interpersonal behavior (TIB), whose functions are attitude, social factor, affect and habit. In the present paper, attitude is conceptualized by four predictors, namely confidence in driving, green environment, social responsibility and deviation in driving. The social factor is characterized by subjective norms, social status and digitalization. Affect factor is conceptualized by accidents and damages, road infrastructure, and weather conditions. The mental block in following the ancestor’s way of owning a personal vehicle is the predictor for the habit.

One of the major contributors to environmental damages is road traffic. Notably, vehicle emissions are on the rise every year due to the increase of reliance on vehicles, and there is no alternative to this issue. Although Malaysia has a well-organized infrastructure with effective digitalized technology on the road for the transport system, there is severe traffic congestion in Klang Valley, Kuala Lumpur, because of a lack of travel plan behavior during peak hours. If the road commuters give the predictors constructed in the proposed conceptual framework the highest importance, then there will be much relief to traffic congestion on the road.

Since the present study focuses on the conceptualization of an urban travel behavior model (UTBM), and also highlights the synchronization of the proposed framework with the management theory, the results are expected after the primary survey based on the cross-sectional study will be conducted.

The identification of the suitable predictors for the UTBM toward the travel behavior performance of a commuter is the real novelty of the present study. Also, the cause and effect relationships of different predictors in terms of path directions of the proposed research framework are the highlights of the study. Further, the predictors in the proposed framework and the TIB have been synchronized with operational definitions, which are the original contributions of the present study, which will enhance the sustainable environmental development for the society as a whole.

Women's travel pattern is different from those of men. Women who have both paid employment and unpaid care work have more complex travel patterns. However, land-use policies and urban mobility strategies in the Egyptian context do not consider these differences. This paper analyzes and discusses the travel patterns of the Egyptian working women with children. It examines the difference between men's and women's travel behavior in different income levels. The paper aims at determining the main factors that affect working women's travel patterns within the care economy framework and suggesting recommendations for enhancing women's travel patterns in Greater Cairo Region (GCR).

The methodology relies on conducting a quantitative and qualitative analysis using questionnaires and interviews with working women and men from different social/economic levels in two different workplaces in GCR.

The results demonstrate that income level, workplace locations, schools locations, and schools typologies greatly affect working women's travel patterns in GCR.

The study findings will help urban planners and decision-makers to improve working women's mobility to make their daily trips shorter and more accessible to achieve equitable cities through understanding the conducted affecting factors and considering the suggested recommendations.

This study aims to test an integrated model that examines the relationship between the service qualities of police at any urban tourist destination and the tourist urban destination advocacy at tourist cities in the Shimla region of India, where tourists’ trust in police acts as a mediating variable. This study mainly focused on the type of service shown by police officials to develop trust among the tourists, resulting in their urban destination advocacy.

The questionnaire was adopted from previously developed and validated scales. The questionnaire was administered to different tourists who came to India. This study used the bootstrapping technique and structural equation modelling (SEM) to address the research questions and test the hypotheses.

This study results indicate that trust in the police mediates the relationship between police service quality and tourist satisfaction at any urban tourist destination. The study’s findings add to the literature on tourists’ trust in policing tourist sites, police service quality and leader behaviour.

The above-tested model has a very limited number of constructs. There are a variety of additional antecedents (e.g. police organization culture and urban destination attributes) and consequences (word-of-mouth referrals and customer identification) that could be considered for future research to develop a more comprehensive model. The cross-sectional study raises concerns about the causal relationships between constructs in the tested model. More substantial evidence of causality via longitudinal and experimental studies is needed.

The study’s findings added a chapter to the literature by identifying how police service quality impacts tourist trust building and urban destination advocacy.

In order to alleviate the impacts of traffic congestion that undermine the mobility and accessibility conditions of the Aristotle University campus, the paper aims at the presentation and description of a complementary network of alternative modes (i.e. pedestrian and bicycle) and the discussion of the appropriate measures for its successful implementation in the campus.

The methodological approach of the paper is twofold: the overview of good practices for implementing cycling and pedestrian networks in European university campuses in an attempt to identify an integrated activity framework compatible to the European approach; and a questionnaire survey for the assessment of the modal split for trips towards and from the campus and the current mobility and accessibility conditions for pedestrians and cyclists in the Aristotle University campus.

The successful implementation of alternative transport networks in university campuses depends on the specific features of each campus in relation to the urban transport network and the commuting characteristics of staff and students. In the case of the Aristotle University campus, the modal split shows that 2/3 of campus‐related trips are conducted by motorised transport while the share of bicycle use is very low. In order to promote cycling and walking in the campus, a combined approach must be adopted based on five fields of activity: policy; research; design; support and promotion; and monitoring.

The paper derives from the research initiatives of the Aristotle University's Sustainable Mobility Committee, which was founded in order to promote sustainable solutions for the campus's transport system.

The paper provides a common and integrated activity framework for the implementation of an alternative transport network in a university campus based on the extensive overview of European experience. Furthermore, it develops for the first time a full proposal for the implementation of a pedestrian and bicycle network in the Aristotle University campus, which is one of the oldest and largest campuses in Greece.

Leisure‐based tourism constitutes an important part in China’s domestic tourist market. This article reports the findings of a case study of leisure‐based tourist behavior conducted in Changchun, the capital city of Northeast China’s Jilin Province. The composition and demographic profile of the leisure‐based tourist market are presented. Leisure‐based tourists’ preference with regard to destination choice, leisure facilities used, and accommodation is analyzed. It is concluded that in‐depth understanding of leisure‐based tourist behavior will contribute significantly to the enhancement of tourist city images, modification of urban tourist attraction systems, effective exploitation of urban tourism resources and destination management and marketing.

Using primary survey data from an urban area in Global North, this study aims to examine the impact of sociodemographic factors on perception of usefulness of public transport and the importance of safety in preferring private modes of transport over public.

The study uses stratified random sampling technique to collect data on travel behavior and socioeconomic characteristics. Descriptive statistics complemented with bivariate probit model and seemingly unrelated bivariate probit model is implemented on the data obtained.

The study finds that women, unmarried individuals, the youngest age group, least educated individuals and those who are working are expected to finding public transport more useful as compared to their respective counterparts. Despite finding the mode most useful, women are more likely to find it unsafe to travel.

The study calls attention to not only dealing with the infrastructural changes in system but also with those attached insecurities which limit its use.

To the best of our knowledge, this is the first time a comprehensive evaluation of the demands and challenges for transportation services faced by different segments of the society is carried out in this section of the developing world.

This paper aims to examine the gender differences in various measures of travel behavior for a large-sized Indian city, taking into account the existing class differences.

Stratified random sampling technique is used to collect primary data for travel behavior. The collected data is then differentiated on the basis of socioeconomic characteristics and gender. Descriptive statistics are used for analysis.

The findings confirm that, women mostly walk and men use motorized vehicles. With an improvement in socioeconomic status, women switch over to public transport and men continue to ride motorized vehicles. While the number of women making everyday trips declines with a rise in socioeconomic status, the number of men rises.

The study points out at the need for development of an adequate infrastructure of nonmotorized transport and public transport in the city which attends to not only the issue of environmental quality but also of women’s empowerment.

To the best of the authors’ knowledge, this is the first time a comprehensive analysis of differences in travel behavior between men and women on the basis of socioeconomic status is carried out in this region. This analysis will facilitate the policy makers in understanding the inconsistencies in transport demand between the two groups of population.

The aim of this paper is to present the effectiveness of participatory information and communication technology (ICT) tools for urban planning, in particular, supporting bottom-up decision-making in urban management and governance.

This work begins with a presentation on the state of the art literature on the existing participatory approaches and their contribution to urban planning and the policymaking process. Furthermore, a case study, namely, the UrbanAPI project, is selected to identify new visualisation and simulation tools applied at different urban scales. These tools are applied in four different European cities – Vienna, Bologna, Vitoria-Gasteiz and Ruse – with the objective to identify the data needs for application development, commonalities in requirements of such participatory tools and their expected impact in policy and decision-making processes.

The case study presents three planning applications: three-dimensional Virtual Reality at neighbourhood scale, Public Motion Explorer at city-wide scale and Urban Growth Simulation at city-region scale. UrbanAPI applications indicate both active and passive participation secured by applying these tools at different urban scales and hence facilitate evidence-based urban planning decision-making. Structured engagement with the city administrations indicates commonalities in user needs and application requirements creating the potential for the development of generic features in these ICT tools which can be applied to many other cities throughout Europe.

This paper presents new ICT-enabled participatory urban planning tools at different urban scales to support collaborative decision-making and urban policy development. Various technologies are used for the development of these IT tools and applied to the real environment of four European cities.

Using survey data of a developing country city, this study aims to examine the impact of different socio-demographic factors on the choice of less-polluting modes of transport for purposes other than work.

Stratified random sampling technique is employed and data on socio-demographic characteristics and mode of transport used is collected. Descriptive statistics complemented with a logit model of choice probabilities is implemented on the data obtained.

Majority of the population in the city uses motorized means of transportation irrespective of the socio-demographic changes existing among them. Women, the individuals belonging to the youngest age group, the least economically well-off group of people, the least educated and the non-working are the individuals more likely to use more of less-polluting modes and less of more-polluting modes for non-work purposes as compared to their counterparts.

The study also calls for the development of an efficient and secured system of public transportation and non-motorized transportation in the city in such a way so as to neither hamper the goal of sustainability nor the goal of empowerment.

To the best of the authors’ knowledge, this is the first time a comprehensive analysis of the influence of socio-demographic factors on choice of type of mode of transport is carried out in this region of the developing world. This analysis will facilitate the policy makers in catering to the transportation needs of different segments of the society.