Nazam Ali

Scopus Publications

Understanding electric scooter safety through driver's lens using protection motivation theory
Kuldeep Singh Sodha, Oliver Hall, Yasir Ali, Nazam Ali
Cities, 2026
Revolutionizing elderly mobility through autonomous demand-responsive transport services
R.C.P. Wong, L.Y. Wan, W.Y. Szeto, Nazam Ali
Transportation Research Part A Policy and Practice, 2026
The ageing population presents a global demographic challenge, as elderly mobility declines rapidly due to their lack of stable income and limited physical and cognitive abilities. Autonomous demand-responsive transport emerges as a potential solution to cater to their specific transport needs. To comprehend their acceptance and adoption of autonomous demand-responsive transport, a stated preference survey was conducted, interviewing 232 elderly individuals aged 60 or above in Hong Kong. The design of choice experiments was pivoted with respect to revealed trips from the surveyed elderly to simulate realistic choice scenarios. Using the collected data, logit models were developed to identify contributory factors influencing their mode choice between their currently chosen alternative and the new transport mode. The results indicate that travel fare, walk time, on-street wait time, in-vehicle travel time, seat availability, and the provision of on-board staff are the significant attributes. Notably, seat availability possesses the highest impact among all attributes. It is therefore recommended that seats should be reserved in conjunction with the demand-responsive service. An unobserved heterogeneity among the elderly is identified in the provision of on-board staff. About 35% of them hold a negative perception of this arrangement while others were more likely to adopt an on-board staff member for safety concerns. The study highlights that the elderly were hesitant to shift to autonomous demand-responsive transport due to their concerns about autonomous driving and digital proficiency. As such, it is recommended that the implementation of autonomous demand-responsive transport should be progressive in a transit-oriented city.
School travel mode choice in two medium-sized south Asian cities: Cross-city transferability and explainable machine learning approaches
Muhammad Abdullah, Nazam Ali, Charitha Dias, Muhammad Ashraf Javid, I.M.S. Sathyaprasad
Journal of Urban Mobility, 2026
Trips for educational purposes represent a significant portion of morning and evening peak hour trips. These trips, if carried out by private transport, can lead to several negative consequences including increased traffic congestion, air and noise pollution, and driver discomfort. This study aimed at predicting the mode choices of school-going students in two medium-sized South Asian cities, Kandy, Sri Lanka, and Sahiwal, Pakistan. City-specific classification models were developed for each city, followed by cross-city evaluations using a subset of common features. SHapley Additive exPlanations (SHAP) were employed to interpret model behavior and assess the stability of learned decision logic across contexts. Ensemble models, particularly CatBoost and Gradient Boosting, consistently outperformed linear and single-tree classifiers in both cities, with substantially stronger predictive performance observed in Sahiwal due to richer household and contextual information. SHAP analyses reveal a shared behavioral foundation across cities in which cost-related variables dominate mode choice decisions. Higher costs for both private and sustainable modes are associated with continued reliance on the corresponding mode, indicating necessity-driven, mode-aligned behavior rather than cost-induced switching. Distance, income, and school type exert secondary but context-dependent effects within cities. Cross-city transferability analysis demonstrates limited and asymmetric generalizability. Models trained in one city experience pronounced performance degradation and systematic classification biases when applied to the other. SHAP-based diagnostics show that transferred models undergo marked reconfiguration of decision logic, including reduced spatial sensitivity and disproportionate reliance on cost signals, with evidence of decision-structure collapse under certain transfer directions. These results highlight the strong context dependence of school travel behavior and the need for locally calibrated, explainable modeling approaches.
A comparative study of predicting travel mode choice of school children using explainable machine learning techniques
Punyaanek Srisurin, Irfan Ahmad, Nazam Ali, Raza Saleem Khan, Natakorn Phuksuksakul, Qudeer Hussain, Suniti Suparp
Transportation Research Interdisciplinary Perspectives, 2026
• Different explainable machine learning techniques were developed to model the mode choice of school children. • Among the developed models the Random Forest outperformed as compared to other models. • In order to avoid Blackbox criticism of machine learning models and improve their interpretability, variable importance and SHAP dependency analysis were also performed. • Results showed that travel cost, monthly household income, distance to school, class grade and number of family members were significantly influencing mode choice of school children. Prediction of mode choice of school children is an important research topic for transportation planning. Traditionally, mode choice studies of school children are conducted using statistical or simple machine learning techniques. Though statistical techniques provide a good basis for theoretical learning and interpretability, they are mostly based on unrealistic assumptions which might lead to biased predictions. Alternatively, machine learning approaches do not provide any theoretical basis, with poor interpretability and do not provide any insights about factors affecting behavioral aspects. To fill this gap, this research proposes explainable machine learning approaches to comprehend the mode choice prediction of school children in Sahiwal, Pakistan. Data was collected from different schools in Sahiwal district through questionnaire survey and 1,498 completed responses were collected for further analysis. Different explainable machine learning techniques (such as Logistic Regression, Decision Tree, Random Forest, k -Nearest Neighbors, and Light Gradient Boosting) were developed to model the mode choice of school children. Results showed that the Random Forest outperformed as compared to other models. In order to avoid Blackbox criticism of machine learning models and improve their interpretability, variable importance and SHAP dependency analysis were also performed. The results showed that predictors such as travel cost, monthly household income, distance to school, class grade and number of family members were significantly influencing mode choice of school children. These findings can be better used for effective modeling and planning of mode choice preferences of school children.
Clustering Mobility-as-a-Service (MaaS) users through Gaussian Mixture Modelling and identifying factors affecting users' mode choice preferences
Seda Sucu Sagmanli, Nazam Ali, Nima Dadashzadeh, Djamila Ouelhadj
Research in Transportation Business and Management, 2026
The concept of Mobility-as-a-Service (MaaS) has gained much popularity in the recent years to overcome issues pertinent to conventional transport systems, specifically in car-dependent societies to shift the travel behaviour towards more sustainable options. Despite numerous MaaS trials and implementations, existing MaaS studies mostly focus on the potential adoption and uptake of MaaS rather than analysing the actual MaaS users and understanding the characteristics of various users and their needs for more inclusive transport planning. Understanding the socio-demographics, travel resources and travel behaviour of MaaS users is important to evaluate the reach of MaaS and create strategies to enhance uptake among less-engaged populations. To address this gap, a revealed preference data of 2,182 respondents was collected through Breeze MaaS app and a cluster analysis approach for MaaS users based on the Gaussian Mixture Modelling (GMM) was proposed. After implementing GMM on the collected data from the Breeze MaaS app users, seven clusters were identified based on the mode share of participants in the Solent area of the UK. Based on the collected data, it was found that most of the MaaS users are young people, living mostly in urban areas and have more sustainable mode selection. Additionally, a Multinomial Logistic Regression (MNL) model was developed to comprehend the factors affecting the selection of different modes for each identified cluster compared to the car dependent users. The identified clusters together with the MNL model provide insights that could help a thorough understanding of actual MaaS users and guide targeted recommendations to increase engagement among current users. The findings could be used to reach a wider audience and increase the uptake of MaaS and sustainable mobility options in car-dependent areas. • A revealed preference data of Mobility-as-a-Service (MaaS) users is used to identy different clusters. • It identifies seven different clusters of MaaS users based on their mode share. • It is found that most of the MaaS users are young people, living mostly in urban areas and have more sustainable mode selection. • A MNL model is developed to identify the factors affecting the mode share in different identified clusters. • Results can be used to devise targeted strategies to increase the engagement of MaaS users towards sustainable transport modes.
Enhancing transgender mobility on public transport through equitable transport policies in a culturally conservative society
Nazam Ali, Muhammad Ashraf Javid, Ryan Cheuk Pong Wong, Muhammad Abdullah, Syed Sift-E-Hassan, Punyaanek Srisurin, Qudeer Hussain
Journal of Transport Geography, 2026
Transgender individuals have visible gender expressions that distinguish them from other gender minorities, including lesbian, gay, bisexual or queer individuals. This visibility increases their vulnerability to gender-based violence and harassment in public spaces, and restricts their mobility on public transport and access to basic amenities for healthcare, education and employment. This issue is particularly severe in culturally conservative societies. This study aims to address the issue by exploring public acceptance of transgender individuals on public transport in Pakistan and recommending equitable transport policies for enhancing their mobility. Using the conceptual framework of the theory of planned behavior (TPB), a questionnaire was developed, and 474 responses were collected via an online survey. A multivariate structural equation model (SEM) was developed, and the results reveal that perceived behavioral control and intentions have a positive and significant relationship with transport policy interventions. Regarding the socioeconomic characteristics, male individuals, those with higher education, and those who meet transgender individuals more often, exhibit positive attitudes towards supportive transport policies aimed at enhancing transgender mobility on public transport. According to the findings, numerous equitable transport policies such as providing dedicated spaces and seats on public transport for transgender individuals, implementing dedicated car-sharing programs, enforcing transgender protection acts, and improving public acceptance through education and awareness campaigns, are recommended. • It investigates the acceptance of transgender individuals on public transport in a culturally conservative society. • The conceptual framework of the theory of planned behavior is used to understand the perceptions of people towards transgender individuals. • Male and educated, and respondents who encounter transgender invidividuals more often are more accepting towards transgender individuals. • Equitable transport policies are recommended to improve the acceptance of transgender individuals on public transport.
Introducing on-schedule multi-stop and on-demand point-to-point waterborne transport services
R.C.P. Wong, Nazam Ali, W.Y. Szeto
International Journal of Sustainable Transportation, 2026
Road-based transport causes severe greenhouse gas emissions, traffic congestion, and high energy consumption even after it is electrified. Besides, existing road networks cannot handle the substantially increasing travel demand in highly populated cities. Alternatively, waterborne transport offers a more sustainable and environmentally friendly option for traveling across harbors, rivers, and canals to access waterfront destinations. To supplement existing ferry services shuttling between two points and increase overall patronage of waterborne transport, this study proposes to introduce on-schedule multi-stop and on-demand point-to-point waterborne transport services, and examines passengers’ selections among these options. A stated preference questionnaire survey was carried out, interviewing 692 ferry passengers about their travel decisions in hypothetical scenarios. The results of the discrete choice models indicated that fare, wait time for services, travel time of road-based transport/waterborne transport, and the number of intermediate stops significantly influence travelers’ decisions. Relevant transport policies and recommendations for enhancing the performance of waterborne transport services and promoting greener mobility are proposed.
Fuel prices and commuting frequencies: Exploring revealed and anticipated changes among university students
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Muhammad Aamir Basheer
Journal of Urban Mobility, 2025
The recent surge in fuel prices has disrupted daily life globally, with transportation costs posing a significant barrier to educational access and student retention. Rising fuel expenses may lead to reduced commuting frequency among students, particularly affecting those from disadvantaged socio-economic backgrounds. This study investigates the effects of rising fuel prices on university students’ commuting frequency across three phases: a pre-hike phase (late 2021), a current hike phase (early 2023), and a projected future hike phase (beyond mid-2023). Data were collected via a questionnaire survey from four private universities in Lahore, Pakistan. Revealed (actual) commuting frequency changes, based on differences between the pre-hike and current hike phases, and stated (anticipated) commuting frequency changes, based on stated intentions for the future hike phase, were analyzed. Trip frequency differences within and across fuel price phases were examined using bivariate hypothesis testing, while multinomial logistic regression was employed to identify significant predictors of across-phase trip frequency changes, controlling for the influence of socio-economic and demographic variables. Hypothesis testing showed significant differences in commuting behavior across phases, with a stronger intention to reduce trips during the future hike phase. Female students and private vehicle owners reported a significantly higher intention to reduce trips under the future fuel price scenario, and low-income students were also disproportionately affected. Multinomial logistic regression revealed that gender and commuting distance were significantly associated with anticipated changes. Female students were significantly less likely than males to indicate an intention to increase trips (relative to no change), suggesting that male students were more likely to expect increased commuting under the future hike scenario. Additionally, students commuting 5–10 km were nearly three times more likely than those commuting over 10 km to anticipate reducing their trips. These findings highlight unequal impacts of fuel price increases on student mobility and support the need for targeted transportation policies to ensure equitable access to higher education.
Carryover effects of COVID-19 on precautionary behaviours during similar future pandemics
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Charitha Dias, Syed Arif Hussain Shah
Transportation Safety and Environment, 2025
The behaviour of the public during pandemics may be driven by past pandemic experiences. For instance, individuals’ precautionary behaviour during a future pandemic may be influenced by their experiences during the COVID-19 pandemic. The objective of this study was to investigate the intentions of individuals to adopt precautionary measures during a future pandemic similar to COVID-19. More specifically, it aimed to determine the lingering impacts of the COVID-19 pandemic on the intention to get vaccinated, follow precautionary measures, and use public transport during a future similar pandemic situation. A questionnaire survey was conducted in Lahore, Pakistan, in August 2022 that yielded 904 responses. The intentions to get vaccinated and use public transport during a future similar pandemic were modelled using binary logistic regression, whereas the intentions to follow precautionary measures were modelled using linear regression. The results indicated that individuals experiencing the negative carryover effects of COVID-19 precautionary measures were more likely to be vaccinated. Those believing COVID-19 to be an exaggerated threat were less likely to be vaccinated and follow precautionary measures. Further, males and married people were more likely to be vaccinated and use public transport during the future pandemic. Moreover, individuals who experienced the negative carryover effects of COVID-19 precautionary measures and believed COVID-19 to be an exaggerated threat tended to use public transport more often during the future pandemic. The findings could be useful for planning agencies to understand how the carryover effects of a past pandemic may affect public behaviour during a potential future pandemic.
Analyzing Women’s Security in Public Transportation in Developing Countries: A Case Study of Lahore City
Hina Saleemi, Saadia Tabassum, Muhammad Ashraf Javid, Nazam Ali, Giovanni Tesoriere, Tiziana Campisi
Safety, 2025
Security concerns regarding women in developing nations are frequently highlighted due to the prevalence of harassment incidents, particularly within public transportation systems. In Pakistan, where women make up half of the population, this issue persists in various forms of harassment, both within local environments and public transportation systems. Therefore, this study aims to investigate the security challenges confronted by women within the public transportation system in the city of Lahore, Pssakistan. To achieve this, a user perception survey was designed to focus on women’s security during travel and relevant socioeconomic factors. The collected responses were analyzed using descriptive analysis and factor analysis methods. Exploratory factor analysis (EFA) revealed five latent variables, each encapsulating distinct aspects of women’s security within public transportation environments. Later on, a structural model of comfort of using public transportation at night was developed using the results of the exploratory factor analysis. Our study’s results propose that although many women express feeling safe during their travels, a prominent number have experienced instances of harassment. Generally, issues such as insufficient lighting during night travel and a lack of awareness about harassment come out as primary concerns within Lahore’s currently operated public transport. The structural model results revealed that the latent variables of harassment, harassment reaction, bus stop station facility, and public transportation safety are significant predictors of comfort of using public transportation at night, being statistically significant (p < 0.05). The findings emphasize the initiatives to reduce overcrowding, improve nighttime lighting and infrastructure, and strengthen awareness among users, along with prevention measures against harassment. This approach assures the females’ physical security and enhances the overall well-being and empowerment of women in urban surroundings.
Monitoring and evaluation of travel behaviour change in mobility-as-a-service (MaaS) trials: Insights from a longitudinal study
Nazam Ali, Seda Sucu Sagmanli, Djamila Ouelhadj, Nima Dadashzadeh, Lee Woods, et al.
Transport Policy, 2025
Intentions of female students to ride two-wheelers in Pakistan: Effects of perceptions about religious, cultural, harassment, and safety concerns
Muhammad Abdullah, Muhammad Ashraf Javid, Nazam Ali, Charitha Dias, Muhammad Waleed Bin Tariq
Cities, 2025
Impacts of rising fuel prices on modal shift among university students: Some policy insights for sustainable transport in developing economies
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Hassan M. Al-Ahmadi, Syed Arif Hussain Shah
Sustainable Futures, 2025
Latent class analysis of carpooling intentions considering the motives, barriers, and benefits: policy insights for behavioral change
Muhammad Ashraf Javid, Abdus Samad Farooq, Nazam Ali
Environment Development and Sustainability, 2025
Modelling the mode choice behaviour of Mobility-as-a-Service (MaaS) users in the Solent of the UK
Nazam Ali, Seda Sucu Sagmanli, Nima Dadashzadeh, Djamila Ouelhadj
Transportation Research Interdisciplinary Perspectives, 2025
Exploring the speeding behavior among young motorcyclists in Lahore using extended theory of planned behavior: insights for road safety improvements
Nazam Ali, Muhammad Ashraf Javid, Charitha Dias, Muhammad Abdullah
International Journal of Injury Control and Safety Promotion, 2025
Examining drivers’ distracted driving behaviour using the extended norm activation model
Muhammad Abdullah, Sameen Zafar, Muhammad Ashraf Javid, Nazam Ali
International Journal of Crashworthiness, 2025
Application of Faster Region Convolutional Networks for Damage Detection in Historical Masonary Strucutres
Onpriya Klinchareon, Phromphat Thansirichaisree, Nazam Ali, Apichat Buatik, Bhakapong Bhadrakom, Qudeer Hussain, Nakhorn Poovarodom
Lecture Notes in Civil Engineering, 2025
Exploring Commuter’s Preferences and Future Intentions to Use Ride-Sharing: A Case Study From a Developing Country
Intizar Hussain, Qinaat Hussain, Charitha Dias, Walid Al Bargi, Nazam Ali, et al.
Journal of Advanced Transportation, 2025
Travelers’ Propensity to Use Intercity Railway Services in Emerging Economies: Significance of Passengers’ Satisfaction and Communication Technologies
Izza Anwer, Muhammad Ashraf Javid, Muhammad Irfan Yousuf, Muhammad Farooq, Nazam Ali, Suniti Suparp, Qudeer Hussain
Sustainability Switzerland, 2024
Travel Mode Choice Prediction to Pursue Sustainable Transportation and Enhance Health Parameters Using R
Mujahid Ali, Elżbieta Macioszek, Nazam Ali
Sustainability Switzerland, 2024
Assessing the determinants of crash propensity using structural equation modeling: Role of distractions caused by fellow drivers
Sameen Zafar, Muhammad Abdullah, Muhammad Ashraf Javid, Nazam Ali
Journal of Safety Research, 2024
Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling
Mudassir Ahmad, Izza Anwer, Muhammad Irfan Yousuf, Muhammad Ashraf Javid, Nazam Ali, Giovanni Tesoriere, Tiziana Campisi
Sustainability Switzerland, 2024
Enhancing social acceptance of women's mobility for equitable transport: Behavioural theories driven approach
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Ryan Cheuk Pong Wong
Journal of Public Transportation, 2024
Signal-Free Corridor Development and Their Impact on Pedestrians: Insights from Expert and Public Surveys
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Muhammad Waqar Aslam, Charitha Dias
Sustainability Switzerland, 2023
Experimental Investigations of Cement Clay Interlocking Brick Masonry Structures Strengthened with CFRP and Cement-Sand Mortar
Panuwat Joyklad, Hafiz Ahmad Waqas, Abdul Hafeez, Nazam Ali, Ali Ejaz, Qudeer Hussain, Kaffayatullah Khan, Arissaman Sangthongtong, Panumas Saingam
Infrastructures, 2023
Prediction of Stress–Strain Curves for HFRP Composite Confined Brick Aggregate Concrete under Axial Load
Panumas Saingam, Ali Ejaz, Nazam Ali, Adnan Nawaz, Qudeer Hussain, Panuwat Joyklad
Polymers, 2023
Using the extensions of the theory of planned behavior (TPB) for behavioral intentions to use public transport (PT) in Kanazawa, Japan
Nazam Ali, Shoichiro Nakayama, Hiromichi Yamaguchi
Transportation Research Interdisciplinary Perspectives, 2023
Awareness and knowledge levels of engineering and planning students and practitioners about the 15-minute city concept in a developing country
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Qudeer Hussain
Journal of Urban Mobility, 2022
Time-dependent behavior of full-scale precast post-tensioned (PCPT) girders: Experimental and finite element analysis
Panuwat Joyklad, Nazam Ali, Krisada Chaiyasarn, Suniti Suparp, Qudeer Hussain
Case Studies in Construction Materials, 2022
The development of electric 2 and 3-Wheelers for low carbon passenger transport: A long-term benefits assessment
Tiziana Campisi, Nazam Ali, Nurten Akgün-Tanbay, Antonino Canale, Giovanni Tesoriere
Aip Conference Proceedings, 2022
Promotion of e-mobility and its main share market: Some considerations about e-shared mobility
Tiziana Campisi, Nazam Ali, Kadir Diler Alemdar, Ömer Kaya, M. Yasin Çodur, Giovanni Tesoriere
Aip Conference Proceedings, 2022
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Nazam Ali, Muhammad Ashraf Javid, Tiziana Campisi, Krisada Chaiyasarn, Panumas Saingam
Sustainability Switzerland, 2022
Low-Cost Fiber Chopped Strand Mat Composites for Compressive Stress and Strain Enhancement of Concrete Made with Brick Waste Aggregates
Panuwat Joyklad, Panumas Saingam, Nazam Ali, Ali Ejaz, Qudeer Hussain, Kaffayatullah Khan, Krisada Chaiyasarn
Polymers, 2022
Improvement of stress-strain behavior of brick-waste aggregate concrete using low-cost FCSM composites
Panuwat Joyklad, Nazam Ali, Krisada Chaiyasarn, Nakhorn Poovarodom, Ekkachai Yooprasertchai, Hassan M. Maqbool, Anat Ruangrassamee, Qudeer Hussain
Construction and Building Materials, 2022
Seepage and Groundwater Numerical Modelling for Managing Waterlogging in the Vicinity of the Trimmu–Sidhnai Link Canal
Muhammad Aslam, Muhammad Umer Shehzad, Ahsan Ali, Nazam Ali, Krisada Chaiyasan, Husnain Tahir, Panuwat Joyklad, Qudeer Hussain
Infrastructures, 2022
Sulfur concrete made with waste marble and slag powders: 100% recycled and waterless concrete
Muhammad Faisal Rasheed, Abdur Rahim, Muhammad Irfan-ul-Hassan, Babar Ali, Nazam Ali
Environmental Science and Pollution Research, 2022
Structural Behavior of LC-GFRP Confined Waste Aggregate Concrete Square Columns with Sharp and Round Corners
Rattapoohm Parichatprecha, Kittipoom Rodsin, Krisada Chaiyasarn, Nazam Ali, Songsak Suthasupradit, Qudeer Hussain, Kaffayatullah Khan
Sustainability Switzerland, 2022
Hemp FRRP Confined Lightweight Aggregate Concrete (LWAC) Circular Columns: Experimental and Analytical Study
Suniti Suparp, Krisada Chaiyasarn, Nazam Ali, Chaitanya Krishna Gadagamma, Ahmed W. Al Zand, Ekkachai Yooprasertchai, Qudeer Hussain, Panuwat Joyklad, Muhammad Ashraf Javid
Buildings, 2022
Load versus Strain Relationships of Single and Continuous Span Full-Scale Pre-cast Prestressed Concrete Girders for Monorail Systems
Suniti Suparp, Athasit Sirisonthi, Nazam Ali, Noha Saad, Krisada Chaiyasarn, Marc Azab, Panuwat Joyklad, Qudeer Hussain
Buildings, 2022
Can Online Learning about UNESCO Biosphere Reserves Change the Perception on SDGs and Different Aspects of Sustainability between Japanese and International Students?
Aida Mammadova, Nazam Ali, Krisada Chaiyasarn
Sustainability Switzerland, 2022
Sustainable and Low-Cost Hemp FRP Composite Confinement of B-Waste Concrete
Panuwat Joyklad, Ekkachai Yooprasertchai, Abdur Rahim, Nazam Ali, Krisada Chaiyasarn, Qudeer Hussain
Sustainability Switzerland, 2022
Improving Stress‐Strain Behavior of Waste Aggregate Concrete Using Affordable Glass Fiber Reinforced Polymer (GFRP) Composites
Kittipoom Rodsin, Nazam Ali, Panuwat Joyklad, Krisada Chaiyasarn, Ahmed W. Al Zand, Qudeer Hussain
Sustainability Switzerland, 2022
Article Travelers’ Perceptions on Significance of Travel Time Saving Attributes in Travel Behavior: A Case Study in Oman
Muhammad Ashraf Javid, Hanan Saif Al-Khatri, Sawsan Said Al-Abri, Nazam Ali, Krisada Chaiyasarn, Panuwat Joyklad
Infrastructures, 2022
An investigative study for the prediction of compressive strength of cement-clay interlocking (CCI) hollow brick masonry walls
Panuwat Joyklad, Nazam Ali, Ekkachai Yooprasertchai, Syed Taseer Abbas Jaffar, Hassan M. Magbool, Qudeer Hussain, Krisada Chaiyasarn
Case Studies in Construction Materials, 2022
Axial Load Enhancement of Lightweight Aggregate Concrete (LAC) Using Environmentally Sustainable Composites
Suniti Suparp, Nazam Ali, Ahmed W. Al Zand, Krisada Chaiyasarn, Muhammad Usman Rashid, Ekkachai Yooprasertchai, Qudeer Hussain, Panuwat Joyklad
Buildings, 2022
Structural Equation Modeling of Drivers’ Speeding Behavior in Lahore: Importance of Attitudes, Personality Traits, Behavioral Control, and Traffic Awareness
Muhammad Ashraf Javid, Nazam Ali, Syed Arif Hussain Shah, Muhammad Abdullah
Iranian Journal of Science and Technology Transactions of Civil Engineering, 2022
Mechanical Experiments on Concrete with Hybrid Fiber Reinforcement for Structural Rehabilitation
Muhammad Asharib Shahid, Muhammad Usman Rashid, Nazam Ali, Krisada Chaiyasarn, Panuwat Joyklad, Qudeer Hussain
Materials, 2022
Influence of Social Constraints, Mobility Incentives, and Restrictions on Commuters’ Behavioral Intentions and Moral Obligation towards the Metro-Bus Service in Lahore
Muhammad Ashraf Javid, Nazam Ali, Tiziana Campisi, Giovanni Tesoriere, Krisada Chaiyasarn
Sustainability Switzerland, 2022
Factors affecting the mode choice behavior before and during COVID-19 pandemic in Pakistan
Muhammad Abdullah, Nazam Ali, Atif Bilal Aslam, Muhammad Ashraf Javid, Syed Arif Hussain
International Journal of Transportation Science and Technology, 2022
Analysis of Driver’s Socioeconomic Characteristics Relating to Speeding Behavior and Crash Involvement: A Case Study in Lahore
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Tiziana Campisi, Syed Arif Hussain Shah, Suniti Suparp
Infrastructures, 2022
Use of Natural and Synthetic Fiber-Reinforced Composites for Punching Shear of Flat Slabs: A Comparative Study
Panuwat Joyklad, Ekkachai Yooprasertchai, Pongsak Wiwatrojanagul, Krisada Chaiyasarn, Nazam Ali, Qudeer Hussain
Polymers, 2022
Extracting Travelers’ Preferences toward Electric Vehicles Using the Theory of Planned Behavior in Lahore, Pakistan
Muhammad Ashraf Javid, Muhammad Abdullah, Nazam Ali, Syed Arif Hussain Shah, Panuwat Joyklad, Qudeer Hussain, Krisada Chaiyasarn
Sustainability Switzerland, 2022
AN INVESTIGATION OF FUEL-CONSUMPTION FOR HEAVY-DUTY VEHICLES BASED ON THEIR DRIVING PATTERNS
Suranaree Journal of Science and Technology, 2022
Travellers’ perceptions about ride-hailing services in Lahore: An extension of the theory of planned behavior
Muhammad Ashraf Javid, Muhammad Abdullah, Nazam Ali
Asian Transport Studies, 2022
Analysis of bus fare structure to observe modal shift, operator profit, and land-use choices through combined unified transport model
Nazam Ali, Shoichiro Nakayama, Hiromichi Yamaguchi
Sustainability Switzerland, 2022
An Analysis of the Integration of DRT Services with Local Public Transport in Post-pandemic Period: Some of the Preliminary Insights in the Italian Context
Tiziana Campisi, Antonino Canale, Giovanni Tesoriere, Nazam Ali, Matteo Ignaccolo, Elena Cocuzza
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
Structural Behavior of Large-Scale Hollow Section RC Beams and Strength Enhancement Using Carbon Fiber Reinforced Polymer (CFRP) Composites
Athasit Sirisonthi, Phongthorn Julphunthong, Panuwat Joyklad, Suniti Suparp, Nazam Ali, Muhammad Ashraf Javid, Krisada Chaiyasarn, Qudeer Hussain
Polymers, 2022
Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model
Muhammad Ashraf Javid, Muhammad Abdullah, Nazam Ali, Charitha Dias
Transportation Research Interdisciplinary Perspectives, 2021
Finite element analysis of glass fiber-reinforced polymer-(Gfrp) reinforced continuous concrete beams
Hazem Ahmad, Amr Elnemr, Nazam Ali, Qudeer Hussain, Krisada Chaiyasarn, Panuwat Joyklad
Polymers, 2021
Analysis of pedestrians’ perceptions about the design aspects of crossing facilities: A case in nizwa, Oman
Muhammad Ashraf Javid, Mashood Khalid, Nazam Ali, Tiziana Campisi, Antonino Canale, Suniti Suparp
Infrastructures, 2021
Strength enhancement of interlocking hollow brick masonry walls with low-cost mortar and wire mesh
Panuwat Joyklad, Nazam Ali, Muhammad Usman Rashid, Qudeer Hussain, Hassan M. Magbool, Amr Elnemr, Krisada Chaiyasarn
Infrastructures, 2021
Experimental study on the out-of-plane behavior of brick masonry walls strengthened with mortar and wire mesh: A pioneer study
Panuwat Joyklad, Nazam Ali, Salvatore Verre, Hassan M. Magbool, Amr Elnemr, Muhammad Irshad Qureshi, Qudeer Hussain, Krisada Chaiyasarn
Infrastructures, 2021
Flexural behavior of natural hybrid frp-strengthened rc beams and strain measurements using botda
Krisada Chaiyasarn, Nazam Ali, Phatthanayu Phuphasuwan, Nakhorn Poovarodom, Panuwat Joyklad, Hisham Mohamad, Mingliang Zhou, Qudeer Hussain
Polymers, 2021
Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country
Muhammad Abdullah, Nazam Ali, Muhammad Ashraf Javid, Charitha Dias, Tiziana Campisi
Transportation Engineering, 2021
Integrating the Norm Activation Model (NAM) Theory in Explaining Factors Affecting Drivers’ Speeding Behaviour in Lahore
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Syed Arif Hussain Shah
Ksce Journal of Civil Engineering, 2021
Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan
Muhammad Abdullah, Nazam Ali, Syed Arif Hussain, Atif Bilal Aslam, Muhammad Ashraf Javid
Transport Policy, 2021
Exploring the traveler’s intentions to use public transport during the covid-19 pandemic while complying with precautionary measures
Muhammad Abdullah, Nazam Ali, Charitha Dias, Tiziana Campisi, Muhammad Ashraf Javid
Applied Sciences Switzerland, 2021
Service quality assessment of app-based demand-responsive public transit services in Lahore, Pakistan
Muhammad Abdullah, Nazam Ali, Syed Arif Hussain Shah, Muhammad Ashraf Javid, Tiziana Campisi
Applied Sciences Switzerland, 2021
Evaluating sustainable urban transport systems: A Review study for the identification of smart mobility indicators
Nazam Ali
Transactions on Transport Sciences, 2021
Accessibility-based approach: Shaping travel needs in pandemic situation for planners’ perspectives
Nazam Ali, Muhammad Abdullah, Muhammad Ashraf Javid
Engineering Journal, 2021
Travelers’ Attitudes Toward Mobile Application–Based Public Transport Services in Lahore
Muhammad Ashraf Javid, Nazam Ali, Syed Arif Hussain Shah, Muhammad Abdullah
Sage Open, 2021
Commuters’ satisfaction with service quality of airlift and swvl bus services in Lahore
Muhammad Ashraf Javid, Syed Arif Hussain Shah, Nazam Ali, Muhammad Abdullah
Engineering and Applied Science Research, 2021
Understanding traffic congestion from stakeholders' perceptions in the central area of lahore, pakistan
Nazam Ali, Muhammad Javid, Syed Hussain, Abdur Rahim
Journal of Applied Engineering Science, 2021
Travelers' Adoption Behavior towards Electric Vehicles in Lahore, Pakistan: An Extension of Norm Activation Model (NAM) Theory
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Tiziana Campisi, Syed Arif Hussain Shah
Journal of Advanced Transportation, 2021
Mechanical properties of cement-clay interlocking (Cci) hollow bricks
Panuwat Joyklad, Qudeer Hussain, Nazam Ali
Engineering Journal, 2020
Self-reported inclination of heavy-duty vehicle drivers to adopt eco-driving in different motivation contexts
Songklanakarin Journal of Science and Technology, 2020
Predicting transit mode choice behavior from parents’ perspectives: A case study in lahore, pakistan
Jordan Journal of Civil Engineering, 2020
Scenario-Based Impediments for Intelligent Freight Transportation in Pakistan
Nazam Ali, Abdur Rahim
2018 15th International Conference on Smart Cities Improving Quality of Life Using ICT and Iot Honet ICT 2018, 2018

Nazam Ali

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